Santa Cruz, CA: Father & son in Watsonville, CA accused of sexual abuse of same girl

Man sentenced to one year in sex abuse case
Posted: Tuesday, Feb 1st, 2011
BY: TODD GUILD

A Watsonville man arrested in July for sexually abusing a 14-year-old girl was sentenced Monday to one year in Santa Cruz County Jail, Assistant District Attorney Andrew Isaac said.

John Nicholas Deanda, 23, will also have to register as a sex offender and complete a treatment program for sex offenders.

Deanda was initially facing four years in prison. His sentence was shortened because the court was concerned that Deanda is “significantly developmentally delayed,” Isaac said.

Deanda has been held in Santa Cruz County Jail on $50,000 bail since his arrest.

According to Isaac, the victim is a ward of the court in another state, where her caregivers agreed with the judge’s decision, not wanting the girl to be subjected to a trial.

“She has significant challenges of her own,” he said.

Deanda’s father, John Charlie Deanda, 46, is accused of abusing the same girl. His trial is pending.

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Aptos, CA psychologist: Can virtual reality technology assist young adults with autistic spectrum issues to learn social skills? Maybe…

Virtual reality technology may be useful adjunct to teaching social skills to young adults newly diagnosed with Asperger’s Syndrome, non-verbal learning disorder.

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How can young adults with autistic spectrum issues learn the social skills they need? Some are newly diagnosed for the first time. Some heard they have “non-verbal learning disability”. Others have been labeled with Asperger’s Syndrome.

There is Applied Behavioral Analysis (ABA) training. Theory of Mind training. What about virtual reality technology? Are there any virtual reality technology packages available t teach social skills?

Background
“People with autism experience profound and pervasive difficulties in the social domain. Attempts to teach social behaviours tend to adopt either a behavioural or a ‘theory of mind’ (ToM) approach. The beneficial aspects and limitations of both paradigms are summarized before an examination of how virtual reality technology may offer a way to combine the strengths from both approaches.

Methods
This is not an exhaustive review of the literature; rather, the papers are chosen as representative of the current understanding within each broad topic. Web of Science ISI, EMBASE and PsycInfo were searched for relevant articles.

Results
Behavioural and ToM approaches to social skills training achieve some success in improving specific skills or understanding. However, the failure to generalize learned behaviours to novel environments, and the unwieldy nature of some behavioural methodologies, means that there is a need for a training package that is easy to administer and successful in promoting learning across contexts.

Conclusions
Virtual reality technology may be an ideal tool for allowing participants to practise behaviours in role-play situations, whilst also providing a safe environment for rule learning and repetition of tasks. Role-play within virtual environments could promote the mental simulation of social events, potentially allowing a greater insight into minds. Practice of behaviours, both within and across contexts, could also encourage a more flexible approach to social problem solving. Virtual environments offer a new and exciting perspective on social skills training for people with autistic spectrum disorders.

Introduction
People with Asperger syndrome (AS) and other autistic spectrum disorders (ASDs) experience profound difficulties in the social domain. This can lead to social exclusion, and difficulties in maintaining and sustaining friendships and employment (Howlin 1997). There have been many attempts to help children with ASDs develop specific social and communication skills in the hope that this will improve social functioning and increase acceptance by peers (e.g. Belchic & Harris 1994). The majority of these interventions have utilized behavioural methodologies and achieved varying degrees of success in improving and maintaining specific behaviours across time and contexts (for reviews, see Pollard 1998; Hwang & Hughes 2000; Rogers 2000). Many tend to target younger children with autism in the belief that learned social behaviours might ameliorate later difficulties in the social domain. There is little doubt that targeting social difficulties at an early age can have extremely beneficial effects (for a review, see Mundy & Crowson 1997).

Very many children with autism may not get the opportunity to participate in early intervention behavioural programmes or research. Fortunately, more recent, cognitive approaches to teaching social skills to people with ASDs have included older children, and adults. These approaches tend to be based on the ‘theory of mind’ (ToM) hypothesis of autism and provide an alternative to behaviour-based techniques. The ToM hypothesis states that the social difficulties in people with ASDs arise through an inability to recognize or think about the mental states of the self and others. Higher-functioning people with autism (e.g. those with AS) have also been included in some of these studies. High-functioning individuals tend to have subtle difficulties which fall outside the scope of the basic behaviours targeted in behavioural ‘peer modelling’ paradigms (e.g. naming a toy correctly in response to a question; McGee et al. 1992).

The efficacy of teaching people with ASDs about mental states in the hope of improving social understanding is rather equivocal. Although most studies report an improvement on the specific skill or task being taught, there are frequent failures to generalize knowledge to different tasks or to real-world situations. Nevertheless, the benefit of demonstrating an increase in understanding mental states, albeit in very specific circumstances, led Howlin (1998) to state that ‘. . . even this limited success suggests that training packages specifically designed to increase the ability to “mind-read” could be an important and valuable addition to the educational curricula for many children with autism’ (p. 315). Consequently, trying to teach children to think about the mental states of others appears to be an important objective for research on social skills interventions. Surprisingly, this approach is not reflected in recent reviews on current and emerging treatments for people with autism (see the special issue of the Journal of Autism and Developmental Disorders, Volume 30, Number 5, 2000).

The main purpose of the present paper is to highlight the specific advantages which virtual reality (VR) may offer in the realm of supporting social skills amongst people with AS. The review begins with background information about autism, AS and social skills. This is followed by a summary of the effectiveness of behavioural interventions for social skills training. Next, the authors include an overview of the ToM hypothesis of autism before covering some of the research utilizing ToM principles to teach social understanding to people with ASDs. They then summarize the key strengths offered by ToM social skills training and end by outlining how VR encompasses the benefits of both the behavioural and cognitive approaches, potentially offering a powerful and flexible tool for tackling deficits in social skills for people with autism.

Background on autism and social skills
Autism is a ‘spectrum disorder’ (Wing 1996) that is diagnosed at the behavioural level according to a triad of impairments in communication, socialization and imagination (Wing & Gould 1979). The spectrum ranges from ‘classic’ Kanner-type autism with severe learning disabilities at one end of the continuum to high functioning autism (HFA) and AS at the other. Even though individuals with the same diagnosis can vary according to level of associated learning disability, a fundamental difficulty with social interactions is common to all people with an ASD.†

At the more able end of the spectrum, there is debate about the value and validity of maintaining a diagnosis of AS separately from HFA (e.g. Ozonoff et al. 1991). In the absence of firm evidence to the contrary, many authors have concluded that the diagnoses should be considered as part of the same spectrum (e.g. Tantam 1988; Gillberg 1998; Manjiviona & Prior 1999). Even very recent discussions of the topic (e.g. Ozonoff & McMahon-Griffith 2000; Volkmar & Klin 2000) admit that the evidence for considering AS and HFA as distinct diagnoses is mixed, and that more research is needed to clarify the issue. Literature relevant to both diagnoses is considered below.

Whilst typically developing children seem to learn the intricacies of social interaction almost effortlessly, the same is not true for individuals diagnosed with an ASD. Widespread impairments in the social-communicative domain are manifest in many ways. For example, people with autism often show egocentric and echolalic speech (i.e. repetition of words or phrases), inappropriate behaviours and language, limited understanding of social norms and expectations, and an overly literal interpretation of speech (Frith 1989; Baron-Cohen & Bolton 1993).

Peculiarities in behaviour may be especially problematic for people at the higher-functioning end of the spectrum. Some individuals demonstrate normal to high IQ levels, and enjoy good outcomes in terms of academic achievements and personal/life skills, but still remain significantly impaired in their social understanding (Gillberg 1998; Nordin & Gillberg 1998). This can lead to social exclusion because forming and maintaining friendships can be extremely problematic. People with AS also have the capability to reflect on the implications of their diagnosis for everyday interactions. Consequently, it is not surprising that people with AS or HFA are particularly prone to secondary psychiatric disorders, such as depression (Tantam 1988). More worryingly, Wing (1981) suggested that the incidence of suicide amongst individuals with these diagnoses may be higher than average.

Because of the social difficulties experienced by all people diagnosed with an ASD, emphasis in educational intervention has been placed on social and communicative competence (Klin & Volkmar 2000). The next section summarizes the main strengths of social skills interventions which have utilized behavioural methodologies in order to teach specific skills to young children with autism.

Behavioural methodologies for social skills training
Early behavioural methodologies for teaching social skills to (usually) pre-school children with autism focused on the application of operant conditioning principles (e.g. Lovaas 1981). In highly structured one-to-one settings, children with autism receive repetitive drilling in particular behaviours in discrete blocks of trials (e.g. imitating hand waving or completing a puzzle). This approach aims to equip children with fundamental social building blocks from which they could learn, develop and generalize to a broad range of social situations (Frankel et al. 1987). These interventions were often very effective in teaching children new behaviours or skills, but suffered from a lack of generalization in terms of transferring learned behaviours to new tasks or contexts (for discussions of the approach, see Mirenda & Donnellan 1987; Schriebman 2000). The strict discrete-trial learning approach, coupled with a decontextualized, trainer-driven ‘therapy’ environment meant that learned behaviours were context-specific and dependent on immediate reinforcement – a situation almost completely devoid of naturally occurring interactions (Frankel et al. 1987). By contrast, more recent intervention strategies have recognized the importance of embedding interventions within the child’s natural settings, such as home and school. Spontaneously occurring behaviours tend to be incorporated into the programmes, with trainers, teachers, peers or parents responding and reinforcing child-initiated interactions and behaviours. Interventions have led to improvements in behaviours such as greeting, joint attention and more general social behaviour, as well as facilitating generalization and maintenance of effects (for reviews, see Hwang & Hughes 2000; Rogers 2000).

One particularly useful strategy seems to be a script- (or prompt-) fading procedure (summarized in Krantz 2000). This involves initially providing a high level of support or prompting to the children before gradually fading the level of prompts over time. The technique led to an increase in the target behaviour (initiating interaction with a teacher) as well as promoting generalization of the behaviour to unscripted interactions (Krantz & McClannahan 1998). These procedures have also been useful in helping older children with autism to develop some functional independence, such as going shopping or buying a train ticket (Howlin & Rutter 1987).

Generally, the main behavioural principles of repetition and reinforcement seem to be effective in promoting change in specific behaviours. The techniques tend to offer greater potential for the generalization of learned behaviours if they are embedded in more naturalistic and meaningful contexts. Prompt-fading procedures are also useful for developing and sustaining new social skills. Despite such strengths, these kinds of interventions are sometimes criticized because they ‘. . . are complex in administration, data collection, and maintenance and generalization procedures, and they require trained staff and focused interventions that extend over weeks to months’ (Rogers 2000, p. 406). Klin & Volkmar (2000) and Rogers (2000) also noted that, because of the above problems, the accessibility and affordability of social skills training programmes to teachers/carers/schools/parents has been frustratingly poor. In short, the field of social skills training ‘. . . needs to develop successful and efficient intervention approaches that are manualized and packaged for dissemination to a wide variety of community settings . . .’ (Rogers 2000, p. 407).

One of the benefits of the ToM approach to teaching social skills is that the tasks are often less complex and easier to implement. Indeed, Baron-Cohen & Howlin (1998) produced a manual to help teachers and parents incorporate ‘mind reading’ tasks into educational programmes. Another advantage, as already stated above, is that more able older people with autism tend to be included in ToM interventions. Consequently, this particular approach may be more relevant to the high-functioning members of the autistic spectrum. The following section outlines the ToM hypothesis of autism before moving on to look at the value of ToM principles for social skills training.

The ‘theory of mind’ hypothesis of autism
One of the most influential approaches to explaining the triad of impairments seen in autism is based on the ToM hypothesis. The term ‘theory of mind’ comes from the work of Premack & Woodruff (1978), who used it to describe the ability to impute mental states to self and others. This ‘mentalizing’ capability supposedly underpins the essential human ability to communicate and interact in a meaningful way. In particular, it is crucial to consider the mental states of others when trying to work out their motives and predict behaviour. Extracting underlying meaning from language is central to the success of conversation. Speakers rarely say exactly what they mean, and therefore, listeners need to fill in the ‘gaps’ by appealing to the context of the conversation, and the speaker’s belief framework, to work out what was meant. People with autism find this especially difficult and are notorious for making overly literal interpretations of speech (e.g. Mitchell et al. 1997). They also have well-documented difficulties on tasks which require thinking about the mental states of themselves and others.

Many people with autism have difficulty acknowledging false belief. In the test of false belief (Wimmer & Perner 1983), a story protagonist does not witness a change in reality (e.g. some chocolate is moved from a drawer to a refrigerator without the protagonist’s knowledge), and the child participant is asked to infer where the ignorant protagonist will look for the chocolate. Normally developing children pass this task around the age of 4 years and say that the protagonist will look for the chocolate in the drawer (where the protagonist last saw it). In contrast, many children with autism, even with verbal mental ages (VMAs) greater than 4 years, fail this task by reporting that the protagonist will look for the chocolate in its present location (i.e. in the refrigerator; Baron-Cohen et al. 1985). The difficulty with the task seems to arise from the participants’ autism and not their associated learning disabilities, given that a group of individuals with similar intellectual profile but without autism typically made correct judgements of false belief. Seemingly, autism gives rise to difficulty in understanding that people can hold mental states which are different (and separate) from current reality. The failure on this task is often interpreted as an indication that children with autism have a profound mentalizing deficit, leading to social-communicative impairment. Older and higher-functioning people with autism or AS have also experienced difficulties, compared to matched control groups, on more subtle and complex ToM tasks (Happe 1994), even though they may pass different versions of the false belief task (e.g. Bowler 1992). Given this difficulty with understanding mental states, there have been some admirable attempts to teach ToM skills to people with autism in the hope that such understanding might generalize to real social situations. The following section summarizes the success and limitations of these studies.

Teaching ‘theory of mind’ to improve social understanding
One of the main paradigms for teaching people with autism about mental states is to embody a mental state (i.e. a belief) with a tangible counterpart in reality (e.g. a photograph). For example, the protagonist’s belief that the chocolate is in the drawer is shown directly as a photograph of some chocolate in the drawer. Mitchell (1997) and Saltmarsh et al. (1995) argued that this approach is effective because the belief is elevated to the same level of salience as reality, i.e. children who fail false belief tasks do so because knowledge of reality dominates their judgements, rather than because they have a conceptual deficit in understanding thoughts as representational entities (for a contrasting view, see Perner 1991). Generally, this ‘pictorial augmentation’ methodology serves to make thought concrete, which might help people with autism to consider the mental states of others and perhaps generalize this understanding to situations which require ToM understanding in the real world. Most of the following studies incorporate this approach, albeit to varying degrees, alongside the explicit teaching of ToM rules or principles (e.g. if x believes y, then x will do z).

McGregor et al. (1998a) adapted a procedure developed by Mitchell & Lacohee (1991) for use with people with autism. Participants (mean age of autistic experimental group = 17.9 years; mean VMA = 4.8 years) were instructed to post a photograph of the original location of some chocolate into the head of a mannequin doll. For example, the photograph showed a picture of some chocolate in a drawer. Compared to pre-instruction performance, people with autism were significantly better at judging false belief on being taught that the photograph could show them what the doll was thinking, i.e. they were significantly more likely to say that the protagonist thought the chocolate was in the drawer (where she/he left the chocolate). However, unlike normally developing 3-year-olds, the children with autism failed to generalize this understanding to novel false belief tasks.

In a separate study by the same authors (McGregor et al. 1998b), people with autism were helped by the ‘picture in the head’ procedure to judge correctly about false belief scenarios presented on video (participants were aged 9–39 years, with VMAs ranging from 4 to 11 years). However, in both studies, a period of repetitive teaching was necessary before any facilitation resulted, and in the latter study, only a small subset of the individuals were able to apply their understanding of the picture-in-the-head procedure to video scenarios. In other words, people with autism could be helped to pass false belief tasks, but they tended not to generalize this understanding to novel situations.

Similarly, Swettenham et al. (1996) used photographs as an analogue to mental states. The above authors emphasized the rule that seeing leads to knowing, leading to a picture-in-the-head, which can then guide behaviour. This method was successful in promoting correct predictions about the protagonist’s behaviour, but none of the children with autism (mean age = 11.6 years; mean VMA = 6.0 years) used the photographs to infer mental states. Although the children may have learned a strategy for predicting behaviour, they seemed to have no insight that this was based on a mental representation (i.e. the protagonist’s belief).

Other studies indicate that teaching ToM principles to people with autism can be successful in promoting understanding in specific tasks, but there is little sign of generalization from one context to another. Hadwin et al. (1996) devised an intervention programme in which they taught a variety of ToM tasks to children with autism (mean age = 9 years; mean VMA = 5 years) over an intensive 8-day period. The researchers taught general principles for understanding mental states (e.g. seeing leads to knowing) during a variety of tasks of increasing complexity. Children with autism were significantly helped to pass tasks on which they received teaching, but failed to demonstrate any of this understanding on tasks in which they had received no teaching. In a more ambitious 4.5-month intervention programme, Ozonoff & Miller (1995) taught five normal-IQ adolescents with autism a number of interactional and conversational skills, in addition to principles related to understanding the mental states of others. Their performance was compared to an IQ-matched group of boys with autism who received no training. Whilst the ‘treatment group’ demonstrated significant performance gains in their ability to pass false belief tasks, there was no evidence of improved social competence in the real world based on the ratings of parents and teachers.

Overall, then, it appears that people with autism can be taught to pass false belief tasks, but the benefits of this understanding are restricted to tasks on which instruction has been given. Chin & Bernard-Opitz (2000) argued that this may be because the studies have focused on specific principles or tasks rather than actual ability. Teaching rules decontextualizes knowledge and tasks; unfortunately, it does not create a situation in which the transfer of skills between taught and real contexts becomes possible. This raises the possibility that practising behaviours systematically in a role-play situation could be the ideal way to promote improvements in understanding and behaviour. Indeed, Chin & Bernard-Opitz (2000) were successful in improving the conversational skills of three children with autism (aged 5.11, 7.5 and 7.9 years) through the explicit practising of behaviours, and Mesibov (1984) also reported success in teaching greeting and interaction behaviours. This is by no means a novel suggestion. Practitioners and teachers are keen to promote the benefits of in situ social skills training (e.g. Howlin 1998), and role-playing prior to entering the real world is considered to be a good way of preparing the student for the different types of interactions which they may encounter (Mesibov 1984; Howlin & Rutter 1987; Howlin 1997; Klin & Volkmar 2000).

The main message from the ToM interventions seems to be that teaching explicit rules for understanding and behaviour can improve task-related performance. Teaching rules for social understanding is an approach often emphasized by authors for effective social skills training (e.g. Howlin & Rutter 1987; Klin & Volkmar 2000). Howlin (1997) acknowledged that teaching rules for social understanding may be a near impossible task because of the complexity of social situations and the seemingly innate ability (at least amongst people developing normally) to know how to behave in different contexts. Nevertheless, she argued that rule-based learning may be the best option for people with autism because ‘. . . without this innate understanding, rules will be all that the person with autism has to guide his or her behaviour, and, imperfect as they are, they will be crucial for acceptable social development’ (Howlin 1997, p. 77). Indeed, Carol Gray’s well-known Social Stories teaching package (Gray & Garand 1993) relies on teaching rules for social behaviour to people with autism in a friendly and supportive environment. Consequently, it is vital that social rules are clearly conveyed in any social skills teaching package. Ideally, the teaching of social rules should also utilize the strengths from the behavioural paradigm. According to Volkmar & Klin (2000), ‘. . . verbal instructions on how to interpret other people’s social behaviour are often helpful, following explicit guidelines accompanied by repeated rehearsal and practice, initially in a rote fashion and gradually moving toward variations of the initial practice situations’ (p. 354). In other words, the newly learned skill or behaviour should be practised in a safe and comfortable setting (e.g. school or home) before testing it out in different contexts in the real world in the hope of promoting generalization.

In summary, by drawing on the various strengths of both the behavioural and cognitive approaches to teaching social skills, it is possible to outline the key elements which should be included in any new social skills teaching package. Ideally, the package should allow for the following:

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repetition of the target skill or task;
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rote learning of social rules;
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fading of prompts over time;
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verbal instruction/explanation of the social skill;
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a consideration of how one’s own behaviour impacts on others (i.e. understanding other minds);
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practice of skills in realistic settings;
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the ability to practise the skill across contexts;
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role-play of target behaviours;
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accessibility and ease of use for schools and teachers; and
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affordability for home and school environments.

Moving beyond a rule-based approach
Controversy surrounds the processes of typical development in social understanding. Some accounts posit that children acquire rules and principles for working out what people think (e.g. Wimmer et al. 1988; Perner 1991; Gopnik 1993). These accounts imply that teaching rules to people with autism should be sufficient to equip them with an understanding of the mind. However, competing accounts posit that we understand other minds not by applying rules, but by imaginatively adopting other people’s conceptual perspectives (e.g. Harris 1991; Gordon 1995). In other words, we use our imagination to set aside the world as we see and know it, and then mentally simulate a counterfactual state that can then be projected onto another person as their belief. The developmental grounding of a capacity for mental simulation could be in early pretence (Harris & Kavanaugh 1993), where children have an opportunity to practise what it is like to be other people and for imagining the world to be a different kind of place, i.e. pretence gives an opportunity for role-play, which is probably an essential ingredient in the mental simulation of other minds. Note that nobody teaches children how to pretend; rather, they gain insight into other minds as a consequence of the spontaneous activity of pretence.

Children with autism have little aptitude for pretence (e.g. Lewis & Boucher 1988), thus denying them an opportunity to role-play, with the knock-on effect that they have little prospect of being able to understand other minds through mental simulation. A way to compensate for this deficiency would be to help children with autism make judgements about mental states by applying rules, and as we have already seen, this can yield limited success. However, identifying a vehicle for promoting role-play might engender even greater success, especially if it nurtures a capacity for mental simulation. In short, people with autism might be impaired in their understanding of the mind because their capacity for pretence is disrupted where this denies them opportunities for role-play. So long as opportunities for role-play via other routes can be created, this would perhaps offer the best chance for people with autism to develop insight into the mind.

Virtual reality: New potential for social skills training?
This section outlines the nature of virtual environments (VEs) and their use in the field of cognitive rehabilitation, and considers how VEs could potentially encompass all of the successful features of behavioural and cognitive paradigms in one package, including the opportunity for computer-mediated role-play.

Virtual environments allow users to interact with a three-dimensional computer-based world incorporating impressive graphics and design. Users can move through a VE in real time using a joystick or mouse. They can interact with objects in the scene and are typically represented as a humanoid ‘avatar’. Thus, VEs can look realistic, and can include representations of people as well as objects. The growing sophistication of such applications has led to their successful use in various fields of cognitive rehabilitation, such as attenuating vertigo and flying phobia (Rothbaum & Hodges 1999), and helping children with learning disabilities to develop everyday skills; for example, catching the right bus and buying food in a supermarket (Brown et al. 1999). Indeed, VR applications are currently being used for many different populations, including people with spinal cord injury (Riva 2000), and children with visual impairments (Sanchez & Lumbreras 2000).

There has been considerable discussion about the relative merits of VR technology (VRT) in the fields of education and rehabilitation for different clinical groups (e.g. Editorial 1991; Andreae 1996; Cromby et al. 1996; Wilson et al. 1997, 1998; Jones 1998; Myers & Laenger 1998; Ring 1998; Scherer 1998). Most discussions tend to concentrate on motor disabilities, severe physical handicaps or more general learning disabilities. One benefit is that people with limited mobility can engage in activities in virtual space which they would not normally be able to participate in. Some ethical concerns surround the use of fully immersive VRT (i.e. the use of head-mounted displays). Head-mounted displays can be extremely expensive and people may experience ‘cybersickness’ in the form of nausea, headaches and dizziness (Cobb et al. 1999). Desktop VEs [those shown on a standard personal computer (PC), where navigation is achieved with a joystick] tend to be much less susceptible to the problems of cybersickness (Nichols 1999). Moreover, because the software can be used on standard PCs, desktop VEs represent a more accessible and affordable approach. Indeed, a recent project at the University of Nottingham, Nottingham, UK, developed a virtual physics lab in which secondary school pupils could complete experiments which they would not be able to run in the real world; for example, those involving radioactive materials. The virtual lab (RADLAB) was widely distributed as a CD-ROM to all secondary schools in the local education authority (Crosier et al. 2002). Another concern is that target populations are not usually included in the development of an application (Korpela 1998). This may lead to applications which are not optimal for the target group. User-centred design methodologies (e.g. Brown et al. 1999) address this concern somewhat because representative users are included in product design and development from the start.

The potential usefulness of VRT for the autistic population is already being recognized. Various authors have noted the possible benefits of virtual environments for people with ASDs (e.g. Clancy 1996; Trepagnier 1999). More specifically, one advantage of VRT is that the need for ‘real world’ social interaction is minimized, thus reducing this source of anxiety for people with autism (Moore 1998; Moore et al. 2000). It is important to stress that the idea is not for the VE to minimize social interaction per se, but rather, to allow the safe and non-threatening practice of particular skills in an educational setting.

There is concern that providing a safe, non-social environment on the computer somehow ‘colludes’ with the social disability of autism. For example, Howlin (1998) suggested that an over-reliance on computer interaction could lead to obsessive behaviour and a decline in real-world interaction. Latash (1998) also commented that ‘. . . VR may become too safe and too attractive so that the patient can become a computer addict and be reluctant to re-enter the real world’ (p. 105). Whilst this is an important issue, there are two main reasons why these worries may be unfounded.

First, it is likely that the main cause of obsessive behaviour in relation to computer use is the predictability of programming, i.e. the child finds the interaction appealing because they are in control and know exactly what is going to happen next. The incorporation of more flexible, unpredictable events in VEs might go some way to overcome this problem (see below). The child would not be able to use the computer in a passive way, but would need to think about the required response in order to proceed further. Consequently, the child’s interaction with the computer would be more active, less predictable, and therefore, less obsessional.

Secondly, a VE for social skills training would best be used in collaboration with other people. The aim is not to circumvent real-world social interaction altogether, but to provide a teaching aid that would allow practice and demonstration alongside normal input from a teacher or support worker. Thus, real-world social interaction can be incorporated by the presence of teachers and parents sitting alongside the person with autism (Murray 1997), as in the use of different desktop virtual environments (Neale et al. 1999). There is certainly some encouraging evidence from normal development to suggest that interaction with another person during the use of computer-based tasks significantly improves learning outcomes. For example, Mevarech et al. (1991) found that, when children worked in pairs on computer-based tasks, they were significantly more likely to demonstrate improvements in learning compared to children who worked individually.

This collaborative set-up would ensure that instructors provide verbal explanations of the target social skills as the user worked through the programme. The inclusion of tangible representations of mental states (e.g. thought bubbles) could facilitate this process by allowing users to consider other people’s mental states directly. Encouraging evidence indicates that thought bubbles can help children with autism pass false belief tasks (Parsons & Mitchell 1999), and also help adults with AS to consider the implications of thought during conversation (Rajendran & Mitchell 2000). Allowing users to see thoughts directly could help when trying to consider how the user’s own behaviour could be perceived by others in the environment.

The computer environment offers additional advantages. It is stable, familiar and predictable, and can be adapted to suit individual needs (Swettenham 1996). The amount, type and level of particular inputs (e.g. visual, auditory) can also be controlled directly, allowing basic skills and tasks to be completed in the absence of competing and distracting cues (Wilson et al. 1998). Perhaps the most important advantage of a VE, though, over and above the benefits of normal computer-based tasks, is that the user can role-play in an environment designed to simulate real-world scenarios. Thus, responses can be practised in realistic settings in the absence of potentially threatening and frightening real-world consequences. This is of particular importance because it means that responses to different scenarios can be practised before, during or after being taught. The computer-mediated role-play might present a vital opportunity for individuals to experience different perspectives, which, in turn, might nurture more general skills in mental simulation. Perhaps it could go some way to substitute for the lack of role-play experience that stems from the autistic impairment in pretence.

A further benefit of computer-based learning is that tasks can be repeatedly presented and practised in a consistent way without the fatigue sometimes associated with task repetition by human instructors (Cromby et al. 1996). The ease of repetition of the task could facilitate the rote learning of social rules in a specific context before moving on to allow practice of the skill in a different context. The possibility of developing different VEs designed to mimic a variety of social situations is a particular strength of this approach. In addition, different types of scenario could increase in complexity as the user becomes practised at, and familiar with, a particular type of task. For example, a café environment – in which the user has to order some food and find a place to sit down – could start off with lots of empty seats, but become increasingly populated and busy as the user moves through the programme. A bus scenario could work in a similar way, with increasingly fewer choices of empty seats. An increase in complexity could also work alongside a prompt-fading sequence, in which the user is initially provided with numerous prompts when beginning the task on a more difficult level, before the prompts fade gradually over time. Text boxes, verbal instructions and flashing red areas of interaction (e.g. the lock on a bathroom door) have been used very successfully as prompts in previous training packages for people with learning disabilities (Brown et al. 1999).

The possibility of scenarios differing slightly each time that the user encounters them could promote a more flexible style of responding. For example, behaviour demonstrated on a previous occasion (e.g. walking to a particular point at the bar to order a drink) may need to be changed slightly on a subsequent trial because of a small change in the environment (the same route to the bar cannot be taken because people are standing in the way). Thus, the user has to think of different ways of solving the same problem. As noted above, this aspect of the programming could help to guard against an obsessional use of the package and an over-reliance on the technology (cf. Howlin 1998). This hierarchical approach to developing social skills within a specific environment could then be repeated in a new environment, ensuring that the same skill could be practised across different contexts.

This aspect of task presentation could improve the chances of generalizing skills across contexts. In addition, the inherent properties of VEs may facilitate the crucial transfer of understanding from the virtual to the real world because of the shared features between virtual and real environments, in the form of realistic images and scenarios. Transfer of knowledge to the real world can occur after prior training with VEs, at least amongst able-bodied adults and children with disabilities (Wilson et al. 1996, 1997; Stanton et al. 2000), and for people practising a simple sensorimotor task (Rose et al. 2000). It remains to be seen whether successful transfer can be achieved in the realm of social skills training for people with ASDs.

Generally, there seem to be good reasons for thinking that VEs might be particularly useful for people with ASDs in the context of a social skills training programme. Perhaps most crucially, though, the promotion of both intra- and intercontext flexibility within a VE training package may allow us to tackle a very specific impairment in cognitive functioning common to many people with ASDs: cognitive flexibility. The following section summarizes some research on cognitive flexibility in people with ASDs and then examines the usefulness of VEs for addressing this particular ability.

Cognitive flexibility, autism and virtual environments
Cognitive flexibility is an executive function that requires frequent shifting from one response pattern to another. ‘Executive function’ is an umbrella term covering many cognitive abilities such as interference control, inhibition, integration across space and time, set-shifting and set maintenance, planning, and working memory (Pennington & Ozonoff 1996). People with autism have shown consistent deficits in executive function tasks (e.g. Hughes & Russell 1993; Hughes et al. 1994; Ozonoff 1995), although it is important to note that participants do not seem impaired across all aspects of executive function. Ozonoff & Strayer (1997) reported that people with HFA were not impaired in their ability to inhibit responses to stimuli. The same finding in a different group of participants with HFA was reported in Ozonoff et al. (1994). Perhaps most importantly, Ozonoff et al. (1994) also reported that, whilst people with HFA were not impaired in their inhibition of responses, they were significantly impaired in their cognitive flexibility relative to control groups. Cognitive flexibility also seems to be predictive of social skills development. Berger et al. (1993) reported that 17 adolescents with HFA were given a number of assessments, including social comprehension tests and a test of cognitive flexibility (or ‘shifting’; the Wisconsin Card Sort Test, WCST; Heaton 1981). After 2 years, their social understanding was measured again and cognitive shifting was the only significant predictor of improvements in social understanding. There was a negligible and non-significant relationship between intelligence and progress in social understanding.

This impairment in flexibility could be crucial in explaining why social situations are so difficult for people with autism. Every social situation is unique, and therefore, requires flexibility of responding according to the nuances of the situation. There is a marked lack of social reciprocity in autistic social interactions. This is evident in difficulties initiating and sustaining conversations (Howlin 1997), impairments in initiating and maintaining eye-contact (Mundy et al. 1994), and often, a failure to use gaze direction as a source of information about the communicative intention of a speaker (Baron-Cohen et al. 1997). Speakers may engage in long monologues about esoteric topics without allowing input from a listener, and seemingly without any consideration of the listener’s level of interest or knowledge state. In short, thinking seems to be rigid, with a difficulty in switching attention between objects, people or topics of interest (Pennington & Ozonoff 1996).

The requirement for flexibility in social situations is where the rule-based ToM approach to teaching social skills may falter. Indeed, Berger et al. (1993) suggested that impairments in cognitive shifting may be particularly difficult to overcome because ‘. . . self-initiated flexibility . . . can hardly be taught explicitly by means of highly structured educational programs’ (p. 356). One of the specific benefits of VEs is that they allow rules for responding to be taught in one context, and also allow the practice and role-play of behaviours across different contexts. In this way, flexibility can be encouraged by providing role-play situations in which the learned rule may not apply every time. It is possible that practising flexible responding in a safe and controlled environment might reduce anxiety in people with ASDs, enabling them to plan what to do next, rather than displaying repetitive, stereotyped behaviours, which may not be helpful in achieving their goal. Additionally, the role-play might itself promote development in mental simulation abilities, which is an approach to understanding mental states that is inherently very much more flexible than a rule-bound approach (Mitchell et al. 1996; Hulme et al. 2001).

Importantly, some evidence suggests that general impairments in cognitive flexibility can be attenuated by computer-based presentation of tasks. Pascualvaca et al. (1998) reported that children with autism performed as well as controls on a computerized version of the WCST, but significantly worse than controls on the standard, non-computerized version. The authors suggested that social/motivational factors could be responsible for the effect, i.e. children with autism might prefer to receive feedback about their performance from a computer rather than the examiner. This preference could lead to reduced motivation on tasks where feedback is only available from a human examiner. Ozonoff (1995) echoed this interpretation when discussing a similar pattern of results amongst her group of children with autism. Using a different clinical population (adults with traumatic brain injury), Chen et al. (1997) also reported significant improvements in their treatment group over time on a computerized version of the WCST (as well as other cognitive tests). Overall, these findings suggest that computer presentation of set-shifting tasks can lead to reduced impairment on this measure relative to non-computer-based tasks as well as improvements in flexibility over time.

Conclusions
Overall, there seems to be an encouraging basis from which to develop a new approach to social skills training for people with autism. Virtual reality technology is an exciting tool that can accommodate the strengths of previous social skills intervention strategies, and also extend the possibilities for learning by allowing flexible responding to be practised in a safe and supportive environment. In addition, VEs may facilitate the transfer of knowledge between the virtual and the real world, a crucial consideration in any attempt to teach social skills.

Concerns that the use of computer-based technology might collude with the social disability of autism, rather than improve social understanding, are assuaged somewhat by the adoption of collaborative working practices (i.e. a teacher/parent/carer sitting alongside the person using the program) and built-in flexibility that ensures that programs remain unpredictable. In other words, VEs should be used to augment teaching practices rather than replace them.

The proliferation of new technologies is exciting because of the opportunities which they offer to different clinical groups in need of very specific kinds of help. Whilst the use of VR is not promoted as a panacea for these problems it does, nevertheless, provide a novel approach to social skills training for people with autism. Over and above the appeal of novelty, VRT allows us to target the specific realm of cognitive flexibility – an area of functioning which may not be amenable to investigation by more traditional approaches, such as story-telling and the presentation of pictures or photographs. Virtual reality technology might also offer a valuable opportunity to practise role-playing skills, which could have both practical and cognitive benefits. Only by exploring new ways of tackling the problem of social skills training for people with autism can we hope to gain further insights into what might be possible for intervention and training purposes. Virtual reality technology provides a unique viewpoint on this issue and should be welcomed, albeit with careful consideration.

Acknowledgements
This paper was supported by a grant from the Shirley Foundation. We are grateful to Anna Moore and David Moore for their comments on an earlier draft. Thanks also to the AS Interactive project team at the University of Nottingham.

References
AndreaeM. H. (1996) Virtual reality in rehabilitation: potential benefits for people with disability or phobias. British Medical Journal 312, 4 – 5.
PubMed,ChemPort,Web of Science®
Baron-CohenS., BaldwinD. A. & CrowsonM. (1997) Do children with autism use the speaker’s direction of gaze strategy to crack the code of language? Child Development 68, 48 – 57.
CrossRef,PubMed,ChemPort
Baron-CohenS. & BoltonP. (1993) Autism: The Facts. Oxford University Press, Oxford.
Baron-CohenS. & HowlinP. (1998) Teaching Children with Autism to Mind-Read: A Practical Guide for Teachers and Parents. Wiley, New York, NY.
Baron-CohenS., LeslieA. M. & FrithU. (1985) Does the autistic child have a ‘theory of mind’? Cognition 21, 37 – 46.
CrossRef,PubMed,ChemPort
BelchicJ. K. & HarrisS. L. (1994) The use of multiple peer exemplars to enhance the generalization of play skills to the siblings of children with autism. Child and Family Behavior Therapy 16, 1 – 25.
CrossRef,Web of Science®
BergerH. J. C., Van SpaendonckK. P. M., HorstinkM. W. I. M., BuytenhuijsE. L., LammersP. W. J. M. & CoolsA. R. (1993) Cognitive shifting as a predictor of progress in social understanding in high-functioning adolescents with autism: a prospective study. Journal of Autism and Developmental Disorders 23, 341 – 59.
CrossRef,PubMed,ChemPort,Web of Science®
BowlerD. M. (1992) ‘Theory of Mind’ in Asperger’s Syndrome. Journal of Child Psychology and Psychiatry 33, 877 – 93.
Direct Link:
AbstractPDF(280K)References
BrownD. J., NealeH. R., CobbS. V. G. & ReynoldsH. (1999) Development and evaluation of the virtual city. International Journal of Virtual Reality 4, 28 – 41.
ChenS. H. A., ThomasJ. D., GlueckaufR. L. & BracyO. L. (1997) The effectiveness of computer-assisted cognitive rehabilitation for persons with traumatic brain injury. Brain Injury 11, 197 – 209.
CrossRef,PubMed,ChemPort,Web of Science®
ChinH. Y. & Bernard-OpitzV. (2000) Teaching conversational skills to children with autism: effect on the development of a theory of mind. Journal of Autism and Developmental Disorders 30, 569 – 83.DOI: 10.1023/a:1005639427185
CrossRef,PubMed,ChemPort,Web of Science®
ClancyH. (1996) Medical field prescribes virtual reality for rehabilitation therapy. Computer Reseller News 698, 76.
CobbS., NicholsS. C., RamseyA. & WilsonJ. (1999) Virtual reality induced symptoms and effects (VRISE). Presence: Teleoperators and Virtual Environments 8, 169 – 86.
CrossRef,Web of Science®
CrombyJ. J., StandenP. J. & BrownD. J. (1996) The potentials of virtual environments in the education and training of people with learning disabilities. Journal of Intellectual Disability Research 40, 489 – 501.
CrossRef,PubMed,Web of Science®
CrosierJ., CobbS. & WilsonJ. (Year? Key lessons for the design and integration of virtual environments in secondary science. Computers and Education 38, 77 – 94.
Editorial (1991) Being and believing: ethics of virtual reality. Lancet 338, 283 – 4.
CrossRef,PubMed
FrankelR. M., LearyM. & KilmanB. (1987) Building social skills through pragmatic analysis: assessment and treatment implications for children with autism. In: Handbook of Autism and Pervasive Developmental Disorders (eds D. J. Cohen, A. M. Donnellan & R. Paul), pp. 333 – 59. John Wiley & Sons, Chichester.
FrithU. (1989) Autism: Explaining the Enigma. Blackwell, Oxford.
GillbergC. (1998) Asperger Syndrome and high-functioning autism. British Journal of Psychiatry 172, 200 – 9.
CrossRef,PubMed,ChemPort,Web of Science®
GopnikA. (1993) How we know our minds: the illusion of first person knowledge of intentionality. Behavioral and Brain Sciences 16, 1 – 14.
Web of Science®
GordonR. M. (1995) Reply to Stich and Nichols. Mind and Language 7, 87 – 97.
Direct Link:
AbstractPDF(634K)References
GrayC. & GarandJ. (1993) Social stories: improving responses of children with autism with accurate social information. Focus on Autistic Behavior 8, 1 – 10.
HadwinJ., Baron-CohenS., HowlinP. & HillK. (1996) Can we teach children with autism to understand emotions, belief, or pretence? Development and Psychopathology 8, 345 – 65.
CrossRef,Web of Science®
HappeF. G. E. (1994) An advanced test of theory of mind: understanding of story characters’ thoughts and feelings by able autistic, mentally handicapped and normal children and adults. Journal of Autism and Developmental Disorders 24, 129 – 54.
CrossRef,PubMed,ChemPort,Web of Science®
HarrisP. L. (1991) The work of the imagination. In: Natural Theories of Mind (ed. A. Whiten), pp. 283 – 304. Basil Blackwell, Oxford.
HarrisP. L. & KavanaughR. D. (1993) Young children’s understanding of pretence. Monographs of the Society for Research in Child Development 58.
HeatonR. K. (1981) The Wisconsin Card Sorting Test. Psychological Assessment Resources, Odessa, FL.
HowlinP. (1997) Autism: Preparing for Adulthood. Routledge, London.
HowlinP. (1998) Practitioner review: psychological and educational treatments for autism. Journal of Child Psychology and Psychiatry 39, 307 – 22.
CrossRef,PubMed,ChemPort,Web of Science®
HowlinP. & RutterM. (1987) Treatment of Autistic Children. John Wiley & Sons, Chichester.
HughesC. & RussellJ. (1993) Autistic children’s difficulty with mental disengagement from an object: its implications for theories of autism. Developmental Psychology 29, 498 – 510.
CrossRef,Web of Science®
HughesC., RussellJ. & RobbinsT. W. (1994) Evidence for executive dysfunction in autism. Neuropsychologia 32, 477 – 92.
CrossRef,PubMed,ChemPort,Web of Science®
HulmeS., MitchellP. & WoodD. J. (2001) Six-year-olds’ difficulties handling intensional contexts. Unpublished Manuscript, University of Nottingham, UK.
HwangB. & HughesC. (2000) The effects of social interactive training on early social communicative skills of children with autism. Journal of Autism and Developmental Disorders 30, 331 – 43.
CrossRef,PubMed,ChemPort,Web of Science®
JonesL. E. (1998) Does virtual reality have a place in the rehabilitation world? Disability and Rehabilitation 20, 102 – 3.
PubMed,ChemPort,Web of Science®
KlinA. & VolkmarF. R. (2000) Treatment and intervention guidelines for individuals with Asperger Syndrome. In: Asperger Syndrome (eds A. Klin, F. R. Volkmar & S. S. Sparrow), pp. 340 – 66. The Guilford Press, New York, NY.
KorpelaR. (1998) Virtual reality: opening the way. Disability and Rehabilitation 20, 106 – 7.
PubMed,ChemPort,Web of Science®
KrantzP. J. (2000) Commentary: interventions to facilitate socialization. Managnaphs of the Society for Research in Child Development 58, 411 – 13.
KrantzP. J. & McClannahanL. E. (1998) Social interaction skills for children with autism: a script-fading procedure for beginning readers. Journal of Applied Behavior Analysis 31, 191 – 202.
CrossRef,PubMed,ChemPort,Web of Science®
LatashM. L. (1998) Virtual reality: a fascinating tool for motor rehabilitation (to be used with caution). Disability and Rehabilitation 20, 104 – 5.
PubMed,ChemPort,Web of Science®
Lewis.V. & BoucherJ. (1988) Spontaneous, instructed and elicited play in relatively able autistic children. British Journal of Developmental Psychology 6, 325 – 39.
Web of Science®
LovaasO. I. (1981) Teaching Developmentally Disabled Children: The ME Book. Pro-Ed, Austin, TX.
ManjivionaJ. & PriorM. (1999) Neuropsychological profiles of children with Asperger syndrome and autism. Autism 3, 327 – 56.
CrossRef
McGeeG. G., AlmeidaM. C., Sulzer-AzaroffB. & FeldmanR. S. (1992) Promoting reciprocal interactions via peer incidental teaching. Journal of Applied Behavior Analysis 25, 117 – 26.
CrossRef,PubMed,ChemPort,Web of Science®
McGregorE., WhitenA. & BlackburnP. (1998a) Teaching theory of mind by highlighting intention and illustrating thoughts: a comparison of their effectiveness with three-year-olds and autistic subjects. British Journal of Developmental Psychology 16, 281 – 300.
Web of Science®
McGregorE., WhitenA. & BlackburnP. (1998b) Transfer of the ‘picture-in-the-head’ analogy to natural contexts to aid false belief understanding in autism. Autism 2, 367 – 87.
CrossRef
MesibovB. (1984) Social skills training with verbal autistic adolescents and adults: a program model. Journal of Autism and Developmental Disorders 14, 395 – 404.
CrossRef,PubMed,ChemPort,Web of Science®
MevarechZ., SilberO. & FineD. (1991) Learning with computers in small groups: cognitive and affective outcomes. Journal of Educational Computing Research 7, 233 – 43.
Web of Science®
MirendaP. L. & DonnellanA. M. (1987) Issues in curriculum development. In: Handbook of Autism and Pervasive Developmental Disorders (eds D. J. Cohen, A. M. Donnellan & R. Paul), pp. 211 – 26. John Wiley & Sons, Chichester.
MitchellP. (1997) Introduction to theory of mind: children, autism and apes. Arnold, London.
MitchellP. & LacoheeH. (1991) Children’s early understanding of false belief. Cognition 39, 107 – 27.
CrossRef,PubMed,ChemPort,Web of Science®
MitchellP., RobinsonE. J., IsaacsJ. E. & NyeR. M. (1996) Contamination in reasoning about false belief: an instance of realist bias in adults but not children. Cognition 59, 1 – 21.DOI: 10.1016/0010-0277(95)00683-4
CrossRef,PubMed,ChemPort,Web of Science®
MitchellP., SaltmarshR. & RussellH. (1997) Overly literal interpretations of speech in autism: understanding that messages arise from minds. Journal of Child Psychology and Psychiatry 38, 685 – 91.
Direct Link:
AbstractPDF(9933K)References
MooreD. J. (1998) Computers and people with autism/asperger syndrome. Communication Summer, 20 – 1.
MooreD. J., McGrathP. & ThorpeJ. (2000) Computer aided learning for people with autism – a framework for research and development. Innovations in Education and Training International 37, 218 – 28.
Web of Science®
MundyP. & CrowsonM. (1997) Joint attention and early social communication: implications for research on intervention with autism. Journal of Autism and Developmental Disorders 27, 653 – 76.
CrossRef,PubMed,ChemPort,Web of Science®
MundyP., SigmanM. & KasariC. (1994) Joint attention, developmental level, and symptom presentation in autism. Development and Psychopathology 6, 389 – 401.
CrossRef,Web of Science®
MurrayD. K. C. (1997) Autism and information technology: therapy with computers. In: Autism and Learning: A Guide to Good Practice (eds S. Powell & R. Jordan), pp. 101 – 17. David Fulton, London.
MyersR. L. & LaengerC. J. (1998) Virtual reality in rehabilitation. Disability and Rehabilitation 20, 111 – 12.
PubMed,ChemPort,Web of Science®
NealeH. R., BrownD. J., CobbS. V. G. & WilsonJ. R. (1999) Structured evaluation of virtual environments for special needs education. Presence: Teleoperators and Virtual Environments 8, 264 – 82.
CrossRef,Web of Science®
NicholsS. C. (1999) Virtual reality induced symptoms and effects (VRISE): methodological and theoretical issues. PhD Thesis, University of Nottingham, Nottingham.
NordinV. & GillbergC. (1998) The long-term course of autistic disorders: update on follow-up studies. Acta Psychiatrica Scandinavica 97, 99 – 108.
Direct Link:
AbstractPDF(1073K)References
OzonoffS. (1995) Reliability and validity of the Wisconsin Card Sort Test in studies of autism. Neuropsychology 9, 491 – 500.
CrossRef,Web of Science®
OzonoffS. & McMahon-GriffithE. (2000) Neuropsychological function and the external validity of Asperger Syndrome. In: Asperger Syndrome (eds A. Klin, F. R. Volkmar & S. S. Sparrow), pp. 72 – 96. The Guilford Press, New York, NY.
OzonoffS. & MillerJ. N. (1995) Teaching theory of mind – a new approach to social skills training for individuals with autism. Journal of Autism and Developmental Disorders 25, 415 – 33.
CrossRef,PubMed,ChemPort,Web of Science®
OzonoffS., RogersS. J. & PenningtonB. F. (1991) Asperger’s Syndrome: Evidence of an empirical distinction from high-functioning autism. Journal of Child Psychology and Psychiatry 32, 1107 – 22.
Direct Link:
AbstractPDF(1443K)References
OzonoffS. & StrayerD. L. (1997) Inhibitory function in nonretarded children with autism. Journal of Autism and Developmental Disorders 27, 59 – 77.
CrossRef,PubMed,ChemPort,Web of Science®
OzonoffS., StrayerD. L., McMahonW. M. & FillouxF. (1994) Executive function abilities in Autism and Tourette Syndrome: an information processing approach. Journal of Child Psychology and Psychiatry 35, 1015 – 32.
Direct Link:
AbstractPDF(1921K)References
ParsonsS. & MitchellP. (1999) What children with autism understand about thoughts and thought bubbles. Autism 3, 17 – 38.
CrossRef
PascualvacaD. M., FantieB. D., PapageorgiouM. & MirskyA. F. (1998) Attentional capacities in children with autism: Is there a general deficit in shifting focus? Journal of Autism and Developmental Disorders 28, 467 – 78.
CrossRef,PubMed,ChemPort,Web of Science®
PenningtonB. F. & OzonoffS. (1996) Executive functions and developmental psychopathology. Journal of Child Psychology and Psychiatry 37, 51 – 87.
Direct Link:
AbstractPDF(20230K)References
PernerJ. (1991) Understanding the Representational Mind. MIT Press, Cambridge, MA.
PollardN. L. (1998) Development of social interaction skills in preschool children with autism: a review of the literature. Child and Family Behavior Therapy 20, 1 – 16.
CrossRef,Web of Science®
PremackD. & WoodruffG. (1978) Does the chimpanzee have a theory of mind? Behavioral and Brain Sciences 4, 515 – 26.
RajendranG. & MitchellP. (2000) Computer mediated interaction in Asperger’s Syndrome: the Bubble Dialogue program. Computers and Education 35, 189 – 207.DOI: 10.1016/s0360-1315(00)00031-2
CrossRef,Web of Science®
RingH. (1998) Is neurological rehabilitation ready for ‘immersion’ in the world of virtual reality? Disability and Rehabilitation 20, 98 – 101.
PubMed,ChemPort,Web of Science®
RivaG. (2000) Virtual reality in rehabilitation of spinal cord injuries: a case report. Rehabilitation Psychology 45, 81 – 8.
CrossRef,Web of Science®
RogersS. J. (2000) Interventions that facilitate socialization in children with autism. Journal of Autism and Developmental Disorders 30, 399 – 409.DOI: 10.1023/a:1005543321840
CrossRef,PubMed,ChemPort,Web of Science®
RoseF. D., AttreeE. A., BrooksB. M., ParslowD. M., PennP. R. & AmbihaipahanN. (2000) Training in virtual environments: transfer to real world tasks and equivalence to real task training. Ergonomics 43, 494 – 511.
CrossRef,PubMed,ChemPort,Web of Science®
RothbaumB. O. & HodgesL. F. (1999) The use of virtual reality exposure in the treatment of anxiety disorders. Behavior Modification 23, 507 – 25.
CrossRef,PubMed,ChemPort,Web of Science®
SaltmarshR., MitchellP. & RobinsonE. J. (1995) Realism and children’s early grasp of mental representation: belief-based judgements in the state change task. Cognition 57, 297 – 325.DOI: 10.1016/0010-0277(95)00675-5
CrossRef,PubMed,ChemPort,Web of Science®
SanchezJ. & LumbrerasM. (2000) Usability and cognitive impact of the interaction with 3-D virtual interactive acoustic environments by blind children. In: The 3rd International Conference on Disability, Virtual Reality and Associated Technologies, Alghero, Sardinia, Italy, (eds P. Sharkey, A. Cesarani, L. Pugnetti & A. Rizzo), pp. 67 – 73. University of Reading, Reading.
SchererM. J. (1998) Virtual reality: consumer perspectives. Disability and Rehabilitation 20, 108 – 10.
PubMed,ChemPort,Web of Science®
SchriebmanL. (2000) Intensive behavioural/psychoeducational treatments for autism: research needs and future directions. Journal of Autism and Developmental Disorders 30, 373 – 8.DOI: 10.1023/a:1005535120023
CrossRef,PubMed,ChemPort
StantonD., WilsonP., ForemanN. & DuffyH. (2000) Virtual environments as spatial training aids for children and adults with physical disabilities. In: The 3rd International Conference on Disability, Virtual Reality and Associated Technologies, Alghero Sardinia, Italy, (eds P. Sharkey, A. Cesarani, L. Pugnetti & A. Rizzo), pp. 123 – 8. University of Reading, Reading.
SwettenhamJ. G. (1996) Can children with autism be taught to understand false belief using computers? Journal of Child Psychology and Psychiatry 37, 157 – 65.
Direct Link:
AbstractPDF(4881K)References
SwettenhamJ. G., Baron-CohenS., GomezJ.-C. & WalshS. (1996) What’s inside someone’s head? Conceiving of the mind as a camera helps children with autism acquire an alternative to a Theory of Mind. Cognitive Neuropsychiatry 1, 73 – 88.DOI: 10.1080/135468096396712
CrossRef,PubMed,ChemPort
TantamD. (1988) Annotation: Asperger’s Syndrome. Journal of Child Psychology and Psychiatry 29, 245 – 55.
Direct Link:
AbstractPDF(1079K)References
TrepagnierC. G. (1999) Virtual environments for the investigation and rehabilitation of cognitive and perceptual impairments. Neurorehabilitation 12, 63 – 72.
Web of Science®
VolkmarF. R. & KlinA. (2000) Diagnostic issues in Asperger Syndrome. In: Asperger Syndrome (eds A. Klin, F. R. Volkmar & S. S. Sparrow), pp. 25 – 71. The Guilford Press, New York, NY.
WilsonP. N., ForemanN. & StantonD. (1997) Virtual reality, disability and rehabilitation. Disability and Rehabilitation 19, 213 – 20.
PubMed,ChemPort,Web of Science®
WilsonP. N., ForemanN. & StantonD. (1998) A rejoinder. Disability and Rehabilitation 20, 113 – 15.
PubMed,ChemPort,Web of Science®
WilsonP. N., ForemanN. & TlaukaM. (1996) Transfer of spatial information from a virtual to a real environment in able-bodied adults and disabled children. Disability and Rehabilitation 18, 633 – 7.
PubMed,ChemPort,Web of Science®
WimmerH., HogrefeG.-J. & PernerJ. (1988) Children’s understanding of informational access as a source of knowledge. Child Development 59, 386 – 96.
CrossRef,Web of Science®
WimmerH. & PernerJ. (1983) Beliefs about beliefs: representation and constraining function of wrong beliefs in young children’s understanding of deception. Cognition 13, 103 – 28.
CrossRef,PubMed,ChemPort,Web of Science®
WingL. (1981) Asperger’s Syndrome: a clinical account. Psychological Medicine 11, 115 – 29.
CrossRef,PubMed,ChemPort,Web of Science®
WingL. (1996) Autistic spectrum disorders. British Medical Journal 312, 327 – 8.
PubMed,ChemPort,Web of Science®
WingL. & GouldJ. (1979) Severe impairments of social interaction and associated abnormalities in children: epidemiology and classification. Journal of Autism and Developmental Disorders 9, 11 – 29.
CrossRef,PubMed,ChemPort,Web of Science®

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Aptos psychologist: Improve social skills for autistic spectrum children is crucial…. see why

Discrepancies Between Academic Achievement and Intellectual Ability in Higher-Functioning School-Aged Children with Autism Spectrum Disorder
Annette Estes1, 2 , Vanessa Rivera2, Matthew Bryan3, Philip Cali2, 4 and Geraldine Dawson5, 6

(1) Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA
(2) University of Washington Autism Center, Box 357920, Seattle, WA 98195, USA
(3) Department of Biostatistics, University of Washington, Seattle, WA, USA
(4) Department of Educational Psychology, University of Washington, Seattle, WA, USA
(5) Autism Speaks, New York, NY, USA
(6) Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

Annette Estes
Email: estesa@uw.edu

Published online: 2 November 2010

Abstract
Academic achievement patterns and their relationships with intellectual ability, social abilities, and problem behavior are described in a sample of 30 higher-functioning, 9-year-old children with autism spectrum disorder (ASD).

Both social abilities and problem behavior have been found to be predictive of academic achievement in typically developing children but this has not been well studied in children with ASD. Participants were tested for academic achievement and intellectual ability at age 9. Problem behaviors were assessed through parent report and social functioning through teacher report at age 6 and 9.

Significant discrepancies between children’s actual academic achievement and their expected achievement based on their intellectual ability were found in 27 of 30 (90%) children. Both lower than expected and higher than expected achievement was observed.

Children with improved social skills at age 6 demonstrated higher levels of academic achievement, specifically word reading, at age 9. No relationship was found between children’s level of problem behavior and level of academic achievement.

These results suggest that the large majority of higher-functioning children with ASD show discrepancies between actual achievement levels and levels predicted by their intellectual ability. In some cases, children are achieving higher than expected, whereas in others, they are achieving lower than expected. Improved social abilities may contribute to academic achievement. Future studies should further explore factors that can promote strong academic achievement, including studies that examine whether intervention to improve social functioning can support academic achievement in children with ASD. Keywords Academic achievement – Autism – School-aged – Intellectual ability

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Introduction
Current estimates are that over two hundred fifty thousand children in the US received educational services for Autism under IDEA in 2007 (U.S. Department of Education 2007). This represents a significant effort on the part of federal and state education programs, school districts, educators and families to support children with autism spectrum disorders (ASD). An increasing proportion of children with ASD make significant gains in intellectual ability and behavioral functioning due to early intervention (e.g., Dawson et al. 2010) and as many as 70% of individuals with ASD are now thought to have intellectual ability in the average to above average range (Chakrabarti and Fombonne 2005). As a result, many higher-functioning, school-aged children with ASD are placed in classrooms with same-aged, typically developing peers and are working toward similar academic goals as these peers. However, patterns of academic achievement in higher-functioning children with ASD are not currently well characterized and the factors associated with positive academic outcomes are not well understood. A wide range of academic achievement outcomes, from significantly above expected to far below expected, based on grade placement, has been reported in this population (Griswold et al. 2002). Reading and spelling may be specific areas of challenge (Gross 1994). Impaired reading comprehension, sometimes coexisting with normative reading accuracy, has been reported in children with ASD (Minshew et al. 1994; O’Connor and Klein 2004; Grigorenko et al. 2003; Nation et al. 2006). However, achievement domains such as math and spelling, as well as the factors that may be associated with variability in academic achievement, are not yet well studied in children with ASD.

The relationship between academic achievement and intellectual ability in the general population has been extensively investigated and these domains are closely related in normative samples (e.g., Elliott 1990a). The presence of a significant discrepancy between intellectual ability and academic achievement is, by definition, uncommon in the general population and provides a necessary, but not sufficient, basis for diagnosing a learning disability since federal law PL94-142 was introduced. However, it is important to note that a great deal of complexity surrounds the use of a discrepancy model for diagnosing learning disability and a complete discussion is beyond the scope of this paper (see Evans 2001; Fletcher et al. 2005; Reynolds 1992 for more information). Despite the foregoing caveat, intellectual ability is important to consider as a potential contributor to the variability in academic achievement observed in higher-functioning children with ASD (Mayes and Calhoun 2003; Eaves and Ho 1997). Overall IQ may not adequately describe intellectual ability in ASD because children with ASD often demonstrate discrepancies among various intellectual ability domains. Relative strengths in verbal ability frequently exist alongside visual-spatial processing deficits in individuals with higher functioning autism (Williams et al. 2008). The opposite pattern has also been reported, with strength in visual processing and relative deficit in verbal processing reportedly common in ASD (Happe 1994). These strengths and deficits may be caused by underlying neuropsychological factors that in turn may also impact academic achievement (see Rourke et al. 2002 for an example of this approach). Another complicating factor when investigating the role of IQ in academic achievement in children with ASD is that there may also be developmental changes that systematically impact these discrepancies. In a group of children with ASD followed from preschool through elementary school, Mayes and Calhoun (2003) noted that discrepancies between verbal and nonverbal IQ tend to decrease over time. This was observed in both low and high IQ groups, but this decrease began at an earlier age for the children with high IQs.

Based on the existing literature, it is likely that the typical close relationship between full scale IQ and academic achievement may be more complex in children with ASD. Jones et al. (2009) found that approximately 70 percent of adolescents with ASD from 14 to 16 years of age demonstrated a significant discrepancy between intellectual ability and one or more achievement domains. Achievement strengths and weaknesses were detected in reading, spelling, reading comprehension, arithmetic, and broader mathematical skills. They reported four, largely mutually exclusive, achievement subgroups: reading peak, reading dip, arithmetic peak, and arithmetic dip. Additional research is warranted to replicate this initial study and investigate factors that may contribute to the complicated picture presented by children with ASD in terms of academic achievement.

Social functioning may be another important contributor to the variability in academic achievement observed in children with ASD. Research on academic achievement in children without cognitive impairment suggests a strong relationship between academic achievement and social functioning (DiPerna and Elliot 1999; Welsh et al. 2001). Academic achievement has been shown to correlate with a number of facets of social functioning such as peer acceptance and sociability with peers (for a review, see Wentzel 2005). The absence of reciprocated friendships has been associated with lower levels of academic achievement in middle school while having friends has been positively associated with classroom engagement (Wentzel et al. 2004). Children with positive peer relationships have been found to be more involved in academic tasks in school relative to children who have difficulties with peers (Wentzel 2003). Prosocial peer relationship processes might promote both peer acceptance and academic achievement in children and adolescents (Buhs and Ladd 2001; Wentzel and Caldwell 1997). Rourke and colleagues have developed a neuropsychological framework in which deficits in academic achievement and social functioning may be connected, namely nonverbal learning disability (NLD; see Rourke 2005 for a review). However, the relationship between social functioning and academic achievement in children with ASD is not currently well understood.

Problem behaviors are another important correlate of academic achievement in the general, non-ASD, population. Externalizing behaviors such as aggression and attention problems are known to relate to lower achievement in all core academic areas (McIntosh et al. 2008; Nelson et al. 2004). Moreover, attention-related behaviors such as impulsivity, hyperactivity and poor concentration have been linked to academic failure and problem behaviors (Hinshaw 1992; Fleming et al. 2004). This same cluster of problem behaviors have also been linked to reading difficulties (Rabiner et al. 2000). Recent research on comorbidity in ASD indicates that 55% of children with ASD demonstrate attention problems, 31% meet full criteria for ADHD and 7% meet criteria for oppositional defiant disorder (Leyfer et al. 2006; Lecavalier 2006). Further research is needed to understand whether there is a link between academic achievement and problem behavior in children with ASD.

The present study investigated academic achievement in a sample of children with ASD who were part of a larger longitudinal study. Academic achievement was assessed directly when the children were 9 years of age. Level of problem behavior was based on parent report whereas level of social functioning was based on teacher report at ages 6 and 9 years. It was hypothesized that (1) children with ASD would be more likely to demonstrate observed academic achievement scores that were discrepant from predicted academic achievement scores. A discrepancy was defined as the absolute difference between observed academic achievement and predicted academic achievement, with predicted achievement based on intellectual ability, (2) children with increased problem behaviors at age 6 and 9 would have decreased academic achievement, after controlling for IQ, (3) children with decreased social functioning at age 6 and 9 would have lower academic achievement, after controlling for IQ.

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Methods
Participants
Thirty children with ASD were recruited from a larger longitudinal study on the neurobiology and developmental course of ASD at the University of Washington Autism Center. The full study sample from which these children were recruited consisted of 74 children diagnosed with an ASD at age 3 and followed at ages 6 and 9 years (see Dawson et al. 2004 for details). These thirty children all demonstrated nonverbal IQ over 70 at age 9 to ensure that the academic achievement battery was appropriate to administer. Thus, this study necessarily focused on a subset of the total sample with higher cognitive abilities. Participants obtained an initial research diagnosis at the first time point of the study, between age 3–4 years, using the Autism Diagnostic Interview-Revised (ADI-R; Rutter et al. 2003), Autism Diagnostic Observation Schedule-Generic (ADOS-G; Lord et al. 2003), and clinical judgment. The ADI-R, a parent interview, and the ADOS-G, a semi-structured play observation, are both standardized measures used to diagnose autism spectrum disorders. In addition, information from family history, medical records, cognitive test scores and clinical observation made during the course of the research assessments were considered when assigning the DSM-IV diagnosis. All children who had a history of significant sensory or motor impairment, serious traumatic brain injury, major physical anomalies, genetic disorders associated with ASD (e.g., Fragile X) or neurological disease were excluded from this study. Data reported for the current study was obtained when participating children were aged 6 and 9. Twenty-five children in the sample were boys and 70% were Caucasian. Mothers were on average highly educated, with only 7% reporting no college, 20% reporting some college and 63% reporting college completion. At age 9, 22 children in this sample were placed in regular education classrooms, 5 children spent part of the day in special education classrooms and part of the day in regular education classrooms, and 3 children were placed in mixed regular education/special education classrooms.

Procedures
Intellectual ability was measured at age 6 and 9 and academic achievement was assessed at age 9 by a licensed clinical psychologist or doctoral students in clinical psychology under the supervision of a licensed clinical psychologist at the University of Washington Autism Center. Social functioning was measured by teacher-reported questionnaire at age 6 and 9. Problem behavior was measured by parent-reported questionnaire at age 6 and 9.

Measures
Intellectual Ability and Academic Achievement
The Differential Ability Scales (DAS; Elliott 1990b) was used to measure intellectual ability and academic achievement. It is designed for use with children from ages 2 years 6 months to 17 years 11 months. The School Age Level was administered at ages 6 and 9 and included six core subtests, yielding a General Conceptual Ability (GCA) score reflecting conceptual and reasoning ability and cluster scores measuring verbal and nonverbal skill areas. The DAS Achievement Tests consist of three academic subtests: Basic Number Skills, Spelling, and Word Reading.

Social Functioning and Problem Behavior
The Social Skills Rating System-Teacher Rating Form (SSRS; Gresham and Elliot 1990) is a 57-item assessment of student social skills with normative data based on a diverse sample of 4,000 children from preschool through grade 12. For the current study, the Social Skills scale was used to measure social functioning. The teacher-rated Social Skills scale is divided into three subdomains: Assertion (e.g., introduces self to others), Self-control (e.g., compromises by changing own ideas), and Cooperation (e.g., uses time appropriately). Ratings are based on classroom behavior and indicate how often specific behaviors occurred and the importance of these behaviors for classroom functioning.

The Aberrant Behavior Checklist (ABC; Aman and Singh 1986) is a reliable and valid 58-item measure of problem behaviors known to occur in individuals with moderate to profound developmental disability. The scales were empirically derived by factor analysis. The following scales were used as measures of problem behavior in this study: (1) Irritability (irritability, agitation, crying) and (2) Hyperactivity (hyperactivity, noncompliance). The child’s primary caregiver, usually the mother, completed this questionnaire.

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Results
Academic Achievement Discrepancies
DAS IQ and achievement scores for this sample are described in Table 1. In this sample, IQ increased between ages 6 and 9 for GCA, Verbal and Nonverbal IQ. On average, participants had higher Nonverbal IQ score than GCA and Verbal IQ. However, the majority of this sample (n = 21) demonstrated no difference between Verbal IQ and Nonverbal IQ greater than 1 SD at age 9. We identified only one individual with a Verbal IQ over 1 SD greater than Nonverbal IQ. Eight individuals demonstrated Nonverbal IQ over 1 SD greater than Verbal IQ. No pattern of academic achievement (low or high) was evident when examining these IQ profile patterns. (See below for a description of low and high achievement.) Achievement scores in the Spelling and Word Reading domains centered approximately on the population average of 100, whereas Basic Number Skills scores were lower on average. Word Reading scores demonstrated the expected standard deviation of about 15. Spelling and Basic Number Skills scores were more variable than expected.
Table 1 Intellectual Ability, Academic Achievement, Social Skills and Behavior Problem Scores in Children with ASD
Variable
Age 6 M (SD)
Age 9 M (SD)

Intellectual ability GCA IQ
89.57 (15.75)
97.57 (14.48)

Verbal IQ
88.63 (18.76)
90.73 (18.01)

Nonverbal IQ
93.33 (12.21)
100.20 (16.78)

Academic achievement

Spelling
98.00 (19.35)

Word reading
99.53 (14.42)

Basic number skills
92.70 (18.29)

Social skills

SSRS
91.00 (12.40)
85.00 (15.09)

Problem behaviors

ABC irritability
7.53 (6.63)
8.11 (7.51)

ABC hyperactivity
12.40 (11.25)
11.32 (9.58)

To address hypothesis one, we investigated whether children with ASD were more likely to demonstrate observed academic achievement scores discrepant from predicted academic achievement scores. Predicted scores were based on the reported score distributions in the DAS normative sample (Elliott 1990a). A discrepancy is defined as the absolute difference between observed academic achievement and predicted academic achievement, with predicted achievement based on GCA. More specifically, a discrepancy at age 9 is defined in the DAS technical manual (Elliott 1990a) as an absolute difference between observed achievement score and predicted achievement score of 10 or more in Spelling, 8 or more in Word Reading, and 11 or more in Basic Number Skills. Elliott (1990a) indicates these absolute differences are significant at the .05 level. Figure 1 provides a scatter plot of the discrepancy score and observed score for each of the three academic achievement domains. The dashed lines indicate the boundaries for a discrepancy between observed and predicted score as defined above.

Fig. 1 Observed academic achievement plotted against the discrepancy score in academic achievement in the domains of Spelling, Word Reading, and Basic Number Skills. The dashed lines represent the boundaries of a significant discrepancy

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A majority of the sample demonstrated a discrepancy in academic achievement in all three domains (see Fig. 1). Furthermore, in total, 27 participants in this study were discrepant in at least one of these domains (21 in Spelling, 19 in Word Reading, and 16 in Basic Number Skills). We labeled discrepancies in which observed academic achievement was significantly less than predicted achievement “low achievement”. In this sample, 18/30 participants (60%) had low achievement in at least one domain (9 in Spelling, 8 in Word Reading, and 12 in Basic Number Skills). However, there were also 18 participants (60%) who had at least one area in which observed academic achievement was higher than predicted (high achievement; 12 in Spelling, 11 in Word Reading, 4 in Basic Number Skills). These results suggest that the typically strong association between observed achievement and predicted achievement, with predicted achievement based on the close relationship between achievement and intellectual ability in normative samples, may not hold among children with ASD.

To better understand the large number of discrepancies between observed achievement scores and predicted achievement scores, we investigated the relationship between the three academic achievement domain scores and General Conceptual Ability IQ (GCA) in this sample of children with ASD. The relationship between the three academic achievement domains and GCA, all measured at age 9, is illustrated in Fig. 2. Two lines are used in each plot. The dashed line is the regression line for predicted achievement plotted against GCA based on data from the normative sample (Elliott 1990a). The solid line is the regression line for observed achievement plotted against GCA in the current sample of children with ASD. The association between GCA and spelling was not significant (95% CI (−5.87, 4.46), p = 0.78). GCA was significantly related to the Word Reading (95% CI (0.70, 7.69), p = 0.02) and Basic Number Skills (95% CI (6.71, 12.89), p < 0.0001) domains. Figure 2 illustrates that this relationship between GCA and the Word Reading domain and GCA and the Basic Number Skills domain is consistent with normative sample tables (Elliott 1990a).

Fig. 2 Academic achievement plotted against IQ at age 9. The dashed line is the regression line between academic achievement and GCA IQ in normative sample. The solid line is the regression line between academic achievement and GCA IQ observed in the current sample

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Problem Behavior and Social Functioning
Table 1 provides a summary of the SSRS Social Skills and ABC Hyperactivity and Irritability scores (means and standard deviations) for this sample at ages 6 and 9. The SSRS and the ABC Irritability and Hyperactivity scales were not highly correlated within each time point (Age 6 r values; SSRS/Irr = −.38, SSRS/Hyp = −.20, Irr/Hyp = .43 Age 9 r values; SSRS/Irr = −.09, SSRS/Hyp = .−18, Irr/Hyp = .24). Table 2 provides results from the regression models described next. To address hypothesis two, that children with increased problem behaviors at age 6 and 9 would have decreased academic achievement at age 9, after controlling for IQ, the following strategy was used. Longitudinal relationships between academic achievement and problem behavior were assessed by regressing ABC Problem Behavior scores at age 6 against achievement scores at age 9, controlling for age 6 nonverbal IQ. The domains of Word Reading, Spelling and Basic Number Skills were assessed using three separate models. ABC Irritability and ABC Hyperactivity scores were regressed simultaneously against each achievement domain. This is because conceptually, they are both part of a larger category of problem behavior. Cross sectional relationships between problem behavior and academic achievement were assessed by regressing ABC Problem Behavior scores at age 9 against each academic achievement domain score at age 9, while controlling for nonverbal IQ at age 9.
Table 2 The relationship between social skills, problem behavior and academic achievement in children with ASD
Measures
Longitudinala
Cross sectionalb

Coef
95% CI
p
R 2
Coef
95% CI
p
R 2

Spelling

SSRS score
4.48
[−6.46, 15.42]
.43
.19
3.97
[−4.60, 12.55]
.37
.07

ABC score
.24
.05

Irritability
−13.46
[−28.74, 1.81]
.10
−8.68
[−26.23, 8.86]
.34

Hyperactivity
4.59
[−4.45, 13.64]
.33
3.34
[−10.35, 17.03]
.64

Word reading

SSRS score
8.06
[1.14, 14.98]
.04*
.23
1.51
[−4.30, 7.32]
.62
.26

ABC score
< .01 .01 Irritability 1.04 [−11.97, 14.06] .88 3.74 [−8.66, 16.14] .56 Hyperactivity −1.64 [−9.35, 6.07] .68 −2.51 [−12.19, 7.16] .62 Basic number skills SSRS score 4.44 [−6.03, 14.90] .42 .12 2.58 [−2.98, 8.15] .37 .59 ABC score .03 .01 Irritability −7.68 [−22.97, 7.60] .33 2.62 [−8.89, 14.14] .66 Hyperactivity 5.75 [−3.30, 14.80] .22 −0.73 [−9.71, 8.26] .88 The SSRS and the ABC scores were regressed in separate models with adjustment for nonverbal IQ as measured at the time of the problem behavior or social skills measurement. The ABC Irritability and Hyperactivity scores were included in the same model *p < .05 aLongitudinal analysis of social skills and problem behavior as measured at age 6 against academic achievement at age 9 bCross sectional analysis of social skills and problem behavior as measured at age 9 against academic achievement at age 9 To address hypothesis three, that children with decreased social functioning at age 6 and 9 would have lower academic achievement at age 9, a similar strategy was used. The longitudinal association between social skills and academic achievement was assessed first. The age 6 SSRS Social Skills score was regressed against each age 9 academic achievement domain score, with adjustment for age 6 nonverbal IQ to assess the impact of social skill over and above IQ. The cross-sectional associations were examined by regressing age 9 achievement domain scores against age 9 SSRS Social Skills score, controlling for age 9 nonverbal IQ. Results are provided in Table 2.

Better social skills tended to be associated with better academic achievement in the Word Reading domain for both longitudinal and cross-sectional analyses. The only association to reach statistical significance was between social skills at age 6 and Word Reading at age 9 (95% CI (1.14, 14.06), p = .04). In this analysis, a 15 point difference in SSRS Social Skills score at age 6 was associated with a difference of 8.06 points in Word Reading score at age 9 between subjects of the same nonverbal IQ. No other significant associations between SSRS Social Skills and academic achievement were found.

ABC Problem Behavior scores were not significantly related to academic achievement in this sample. A likelihood ratio test was used to test the overall significance of the effect of ABC Irritability and Hyperactivity scores on academic achievement domain scores for each of these models. No significant relationships were found for either the longitudinal or cross-sectional analyses.

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Discussion
The current study investigated levels of academic achievement in a sample of higher functioning children with ASD. Results showed that school-aged children with ASD demonstrate significant discrepancies between their actual academic achievement and the level of academic achievement predicted from their overall intellectual ability. Of the 30 children in the sample, the large majority, 27/30 or 90%, demonstrated at least one discrepancy in Spelling, Word Reading, or Basic Number Skills. Lower than predicted achievement, in which actual achievement was significantly less than predicted based on intellectual ability, was observed in at least one domain in 18 children (60%). Notably, an equal number of children demonstrated at least one area of higher than predicted achievement. The large proportion of children whose academic achievement was above that predicted by their intellectual ability was unexpected. A more detailed examination of the relationship between achievement in specific domains and intellectual ability provides some additional insight into the findings reported above. On average, Word Reading and Basic Number Skills were related to IQ, whereas Spelling was not. This may reflect shared method variance since Spelling is not tapped specifically on an IQ test, whereas reading and number skills are tapped either indirectly or directly on such tests.

Given that level of social abilities and problem behaviors are correlated with level of academic achievement in typically developing children, we were interested in whether such relationships also exist for children with ASD. Results showed that, after controlling for IQ, level of social skills at age 6 was predictive of level of academic achievement at age 9. Most strongly, social skills at age 6 were related to Word Reading scores at age 9. This relationship is consistent with findings from studies of typically developing children in which various aspects of social functioning are related to academic achievement. Interestingly, concurrent measures of social skills at age 9 were not associated with academic achievement at age 9, over and above Nonverbal IQ. Furthermore, level of problem behaviors assessed at either age 6 or 9 years of age, was not significantly correlated with level of academic achievement at age 9. Thus, the relationships that are present in typically developing samples of children do not appear to apply to children with ASD in all domains.

The current study was limited in several regards. First, our findings are based on academic achievement scores and intelligence testing alone, and do not include, for example, classroom observation, direct assessment of student work, or qualitative parent and teacher report of student ability. Although achievement scores are powerful indicators of the learning that has taken place for some students, these scores alone are not sufficient to conclude that the children who demonstrated low achievement also have a learning disability. A second, but related point, is that the validity of using IQ-discrepancy models to identify learning disabilities is controversial (Fletcher et al. 2005; Kavale 2005). Even proponents of this model agree that the presence or absence of a discrepancy is not sufficient to diagnose a learning disability (Reynolds 1992). Additional research is needed to investigate whether particular patterns of academic achievement may be indicative of learning disabilities in this population.

Finding such heterogeneity in academic achievement was not hypothesized a priori. In particular, we did not expect to find such high rates of both higher and lower than expected achievement. Future research is needed to investigate the etiology of strengths and weakness in reading, spelling or arithmetic in higher-functioning children with ASD. Neuropsychological processes may play a causal role in the specific patterns of academic achievement observed in this sample. Measures of neuropsychological abilities may be useful to extend the measures of IQ reported in this study. For example strengths in various forms of memory may be associated with higher achievement, whereas phonological processing or executive function deficits may be associated with lower achievement.

It has been proposed that NLD may be a helpful construct for understanding both the academic achievement, social difficulties, and other neuropsychological deficits seen in some children with ASD (e.g., Klin et al. 1995). NLD is purported to involve a pattern of poor reading and spelling ability and poor social skills. Our research found only partial support for this pattern, with a significant relationship between word reading and social skills but not spelling ability. There are several significant ways in which descriptions of NLD are not consistent with what is known about ASD more generally and do not fit this sample of higher-functioning children more specifically. ASD is recognized as early as 12-months of age and is reliably diagnosed by 36-months, but children with NLD reportedly do not demonstrate disturbed social functioning below age 4 (Rourke 2005). Additionally, all children in this sample manifested serious social deficits prior to age 4, as they were entered into the longitudinal study between age 3 and 4 years due to a diagnosed autism spectrum disorder. Furthermore, only one child manifested a pattern of higher verbal IQ compared with nonverbal IQ at age 9. Thus, although low achievement patterns were identified in this longitudinal sample of children, future studies are needed to address whether low achievement is linked to specific types of learning disability such as NLD in this population.

Future research is also needed to better understand children with high achievement. Although demonstrating important skills, this group may have academic difficulties and needs that we were not able to identify in the current study, but that may nevertheless greatly impact their academic achievement over time. For example, assessing other aspects of academic success such as independent functioning, ability to work and learn in groups, and creativity could identify areas of unmet need in this group of children.

Future research is needed to replicate these finding in independent samples of children with ASD, and also to extend these findings. For example, utilizing measures of reciprocated friendships, positive peer relationships and prosocial behavior that have been found to be related to academic achievement in typically developing children could help understand the functioning of children with ASD in the classroom. A theoretical model of processes involved in the observed link between social functioning and academic achievement is needed to develop effective targets for intervention. It would also be useful to assess academic functioning more broadly. If neuropsychological strengths and deficits are associated with high and low achievement patterns, intervention approaches could be tailored to these different subgroups of individuals. For example, executive function difficulties, including the ability to plan, organize, and generate novel ideas, may hinder even high achievers as they progress to higher grades in which multiple classes, more complex writing assignments, and novel applications of skills are increasingly required. Importantly, this is a high functioning group of children, with IQs over 70, who had functional speech and other signs of positive outcomes. Early intervention outcome studies should include measures of academic achievement to better characterize the impact of very early autism intervention on later outcomes.

Higher-functioning children with ASD are typically expected to be able to achieve academically, often through instruction in regular education classrooms. This study provides evidence of academic strengths in 9-year-olds with ASD. Thus, these data have the potential to increase awareness of academic potential in children with ASD. In addition, the longitudinal data provides preliminary evidence that social functioning at age 6 may influence later academic achievement. This highlights the need for continued intervention that extends to the early elementary years, even after early intervention in the toddler and preschool years, has ceased. It may be that continued support for social skill development in children with ASD is particularly important. As previous research has shown, individuals with ASD who have higher intellectual abilities and better social skills may be aware of their own deficits and may experience difficulties that increase risk for depression and anxiety (Estes et al. 2007; Sterling et al. 2008). Academic achievement is a potential source of self-worth and mastery that may be available to school-aged children with ASD. Success in school can be a building block toward many positive experiences, including providing important skills needed for independent living and meaningful career choices. Better understanding of risk and protective factors for academic success will assist in the search for effective targets for intervention and educational programming for school-aged children with ASD.

Acknowledgments We wish to thank the children and parents who participated in this study. This research was supported by grants from the National Institute of Child Health and Human Development (U19HD34565, P50HD066782, and R01HD-55741) and the National Institute of Mental Health (U54MH066399).

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References
Aman, M. G., & Singh, N. N. (1986). Aberrant behavior checklist (abc). East Aurora, NY: Slosson Educational Publications, Inc.

Buhs, E., & Ladd, G. (2001). Peer rejection as an antecedent of young children’s school adjustment: an examination of mediating processes. Developmental Psychology, 37(4), 550–560.

Chakrabarti, S., & Fombonne, E. (2005). Pervasive developmental disorders in preschool children: Confirmation of high prevalence. American Journal of Psychiatry, 162, 1133–1141.

Dawson, G., Rogers, S., Munson, J., Smith, M., Winter, J., Greenson, J., Donaldson, A., & Varley, J. (2010). Randomized controlled trial of the early Start Denver Model, a developmental behavioral intervention for toddlers with autism: Effects on IQ, adaptive behavior, and autism diagnosis. Pediatrics, 125, 17–23.

Dawson, G., Toth, K., Abbott, R., Osterling, J., Munson, J., Estes, A., et al. (2004). Defining the early social attention impairments in autism: Social orienting, joint attention, and responses to emotions. Developmental Psychology, 40, 271–283.

DiPerna, J. C., & Elliot, S. N. (1999). Developmennt and validation of the academic competence evaluation scales. Journal of Psychoeducational Assessment, 17, 207–225.

Eaves, L. C., & Ho, H. H. (1997). School placement and academic achievement in children with autism spectrum disorder. Journal of Developmental and Physical Disabilities, 9(4), 277–291.

Elliott, C. D. (1990a). Differential ability scales: Introductory and technical handbook. San Antonio, TX: The Psychological Corporation.

Elliott, C. D. (1990b). Differential ability scales (DAS). San Antonio, TX: The Psychological Corporation.

Estes, A., Dawson, G., Sterling, L., & Munson, J. (2007). Level of intellectual functioning predicts different patterns of associated symptoms in children with autism spectrum disorder. American Journal of Mental Retardation, 112(6), 439–449.

Evans, L. (2001). A conceptual overview of the regression discrepancy model for evaluation severe discrepancy between IQ and achievement scores. Journal of Learning Disabilities, 23(7), 406–412.

Fleming, C. B., Harachi, T. W., Cortes, R. C., Abbott, R. D., & Catalano, R. F. (2004). Level and change in reading scores and attention problems during elementary school as predictors of problem behavior in middle school. Journal of Emotional and Behavioral Disorders, 12(3), 130–144.

Fletcher, J. M., Francis, D. J., Morris, R. D., & Lyon, G. R. (2005). Evidence-based assessment of learning disabilities in children and adolescents. Journal of Clinical Child and Adolescent Psychology, 34(3), 506–522.

Gresham, F. M., & Elliot, S. N. (1990). Social skills rating system (ssrs). Circle Point, MN: American Guidance Service.

Grigorenko, E. L., Klin, A., & Volkmar, F. (2003). Annotation: Hyperlexia: Disability or superability? Journal of Child Psychology and Psychiatry, 44, 1079–1091.

Griswold, D. E., Barnhill, G. P., Myles, B. S., Hagiwara, T., & Simpson, R. L. (2002). Asperger syndrome and academic achievement. Focus on Autism and Other Developmental Disabilities, 17, 94–102.

Gross, J. (1994). Asperger syndrome: A label worth having? Educational Psychology in Practice, 10, 104–110.

Happe, F. G. (1994). Wechsler IQ profile and theory of mind in autism: a research note. Journal of Child Psychology and Psychiatry, 35(8), 1461–1471.

Hinshaw, S. P. (1992). Academic underachievement, attention deficits, and aggression: Comorbidity and implications for intervention. Journal of Consulting and Clinical Psychology, 60, 893–903.

Jones, C. R. G., Happe, F., Golden, H., Marsden, A. J. S., Tregay, S. E., Pickels, A., et al. (2009). Reading and arithmetic in adolescents with autism spectrum disorders: Peaks and dips in attainment. Neuropsychology, 23(6), 718–728.

Kavale, K. A. (2005). Identifying specific learning disability: Is responsiveness to intervention the answer? Journal of Learning Disabilies, 38, 553–562.

Klin, A., Volkmar, F. R., Sparrow, S. S., Cicchetti, D. V., & Rourke, B. (1995). Validity and neuropsychological characterization of Asperger syndrome: Convergence with nonverbal learning disabilities syndrome. Journal of Child Psychology and Psychiatry, 36(7), 1127–1140.

Lecavalier, L. (2006). Behavioral and emotional problems in young people with pervasive developmental disorders: Relative prevalence, effects of subject characteristics, and empirical classification. Journal of Autism and Developmental Disorders, 36, 1101–1114.

Leyfer, O. T., Folstein, S. E., Bacalman, S., Davis, N. O., Dinh, E., Morgan, J., et al. (2006). Comorbid psychiatric disorders in children with autism: Interview development and rates of disorders. Journal of Autism and Developmental Disorders, 36, 849–861.

Lord, C., Rutter, M., DiLavore, P. C., & Risi, S. (2003). Autism diagnostic observation schedule manual. Los Angeles, CA: Western Psychological Services.

Mayes, S. D., & Calhoun, S. L. (2003). Ability profiles in children with autism: Influence of age and IQ. Autism, 7, 65–80.

McIntosh, K., Flannery, K. B., Sugai, G., Braun, D., & Cochrane, K. L. (2008). Relationships between academics and problem behavior in the transition from middle school to high school. Journal of Positive Behavior Interventions, 10, 243–255.

Minshew, N. J., Goldstein, G., Taylor, H. G., & Siegel, D. J. (1994). Academic achievement in high functioning autistic individuals. Journal of Clinical and Experimental Neuropsychology, 16, 261–270.

Nation, K., Clarke, P., & Wright, B. (2006). Patterns of reading ability in children with autism spectrum disorder. Journal of Autism and Developmental Disorders, 36, 911–919.

Nelson, J. R., Benner, G. J., Lane, K., & Smith, B. W. (2004). Academic achievement of K-12 students with emotional and behavioral disorders. Exceptional Children, 71(1), 59–73.

O’Connor, I. M., & Klein, P. D. (2004). Exploration of strategies for facilitating the reading comprehension of high-functioning students with autism spectrum disorders. Journal of Autism and Developmental Disorders, 34, 115–127.

Rabiner, D., Coie, J. D., & Conduct Problems Prevention Research Group. (2000). Early attention problems and children’s reading achievement: A longitudinal investigation. Journal of the American Academy of Child and Adolescent Psychiatry, 39, 859–867.

Reynolds, C. (1992). Two key concepts in the diagnosis of learning disabilities and the habilitation of learning. Learning Disability Quarterly, 15, 2–12.

Rourke, B. (2005). Neuropsychology of learning disabilities: Past and future. Learning Disability Quarterly, 28, 111–113.

Rourke, B., Ahmad, S., Collins, D., Hayman-Abello, B., Haymen-Abello, S., & Warriner, E. (2002). Child clinical/pediatric neuropsychology: Some recent advances. Annual Review of Psychology, 53, 309–339.

Rutter, M., LeCouteur, A., & Lord, C. (2003). Autism diagnostic interview revised: WPS edition manual. Los Angeles, CA: Western Psychological Services.

Sterling, L., Dawson, G., Estes, A., & Greenson, J. (2008). Characteristics associated with presence of depressive symptoms in adults with autism spectrum disorder. Journal of Autism and Developmental Disorders, 38(6), 1011–1018.

U. S. Department of Education. (2007). Table 1.3. Students ages 6 through 21 served under IDEA, Part B, by disability category and state: 2007. Retrieved November 14, 2009, from the Individuals with Disabilities Education Act data Web site: https://www.ideadata.org/TABLES31ST/AR_1-3.htm.

Welsh, M., Parke, R. D., Widaman, K., & O’Neil, R. (2001). Linkages between children’s social and academic competence: A longitudinal analysis. Journal of School Psychology, 30, 463–481.

Wentzel, K. R. (2003). Sociometric status and academic adjustment in middle school: A longitudinal study. Journal of Early Adolescence, 23, 5–28.

Wentzel, K. R. (2005). Peer relationships, motivation, and academic performance at school. In A. J. Elliott & C. S. Dweck (Eds.), Handbook of competence and motivation ( (pp. 279–296). New York: Guilford.

Wentzel, K. R., Barry, C. M., & Caldwell, K. A. (2004). Friendships in middle School: Influences on motivation and school adjustment. Journal of Educational Psychology, 96, 195–203.

Wentzel, K. R., & Caldwell, K. (1997). Friendships, peer acceptance, and group membership: relations to academic achievement in middle school. Child Development, 68(6), 1198–1209.

Williams, D. L., Goldstein, G., Kojkowski, N., & Minshew, N. J. (2008). Do individuals with high functioning autism have the IQ profile associated with nonverbal learning disability? Research in Autism Spectrum Disorders, 2(2), 353–361.

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Aptos psychologist: Asperger’s or Non-Verbal Learning Disability? An example of Peter…

Nonverbal learning disability (NLD), compared to Asperger’s Disorder and PDD-NOS using a clinical example of a young man, Peter, who thinks he is neurologically defective. What is the best fit diagnosis? Most appropriate treatment?

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written by Cameron Jackson DrCameronJackson@gmail.com

Does Peter — this is a hypothetical clinical case — suffer from NLD or Asperger’s Disorder or PDD-NOS? So some combination? What is the best fit? Many of the facts are true however names and identifying information has been changed to protect privacy.

Remember the children’s verse: “Peter, Peter, pumpkin eater… had a wife and couldn’t keep her… so he put her in a pumpkin shell… there he kept her very well… ”

It certainly was socially inept of Peter to keep his wife locked in a shell….Was that the best that Peter could do?

Non-verbal learning disability (NLD) was much talked about 10 years ago. Maybe because NLD never made it into in the Diagnostic and Statistical Manual (DSM-IV) it’s only known in certain circles.

In some ways NLD is similar to 298.0 Asperger’s Disorder — which is a diagnosis in the DSM-IV.

Many people somewhat approximate the diagnosis that are in the DSM-IV. The issue is to find the best fit.

Let’s see what is the best diagnosis for Peter. A number of facts are changed to protect privacy. Let’s see whether Nonverbal Learning Disability (NLD) or Asperger’s fit as a better fit for this young man.

Peter — not his real name — is in his middle 20’s. He went to private schools in Santa Cruz County and finished at an alternative high school. Both his parents finished college and work professionally. Peter is an only child.

From his father for years he heard, “Just step up to the plate… you can do it… Try harder…” Yes, Peter has low self esteem.

Per comments from his teachers, Peter has always had problems with organization and finishing assignments. Sometimes he failed classes in high school as he did not turn in assignments. He teachers comment on his high language abilities and creativity.

Peter was never identified for special education. In 8th grade the resource teacher sent his parents a letter saying that he did not have a learning disability. As it was simply a letter sent to the home there was no one to one discussion with the school psychologist.

Had there been a school meeting, a psychologist would have noted that there was a huge, larger than 45 standard scored difference, between visual abstract reasoning ability and general academic performance. A 15 point difference is statistically significant and important. So here Peter has a 45 point standard score difference between visual abstract reasoning abilities and general performance and has no learning disability? Of course he has and did. It was not identified however in 8th grade.

Because there was no meeting of psychologist and family in 8th grade Peter’s disabilities were not identified. That Peter has extraordinary high visual abstract reasoning abilities as well as very high verbal reasoning abilities lessens the likelihood that Non-verbal Learning Disability best describes Peter’s difficulties.

Peter has heard for many years, you can do it… just step up to the plate….you’ve got great talent.

Peter is not convinced that he can do it as he flunked out of college. He had to take and pass a particular class. Having flunked it once he went back to the same instructor, the same lectures, the same assignments. How to apply certain skills to improve him portfolio was the task he flunked before. And — as you might guess — he flunked it again. And then he flunked the same class a third time. Clearly there was no academic advisor available to recommend a different strategy to getting a pass in the required class.

Peter started college at age 21. Before going to college he got some tutoring from a Santa Cruz tutoring organization. It is my understanding that this tutoring organization lacks psychologists on staff and does not use diagnosis. So, again, similiar to 8th grade, his family did not have input into Peter’s disabilities based on psychological assessment.

It does not appear that there were any accommodations put in place to assist Peter to succeed in college once he got there. Peter was across the U.S. in a different state. He had never had an IEP and he had never been identified as having developmental learning disabilities.

What is Peter good at doing? He can tell oral stories. He can write stories. He does have difficulty finishing the writing of stories. He does better with the structure of a class to finish a story.

The purpose of diagnosis — after getting the best fit diagnosis — is the suggest appropriate treatment. It looks like NLD is not the best fit diagnosis for Peter.

However, Peter has heard from one parent for many years that he has NLD. Probably based on these discussions, Peter thinks that hi is neurologically defective. One step in treatment is to change the mind set of Peter to view himself as neurologically different not neurologically defective. Web sites such as Wrong Planet.net may assist Peter to view his differences in a positve way.

Per the article included below NLD is due to traumatic brain injury of the right side.

The following was found by Google to nonverbal learning disabiliites and was written around 2000.

Success for Young Adults with NLDBy Kathy Allen

“NLD (Syndrome of Nonverbal Learning Disabilities) is a complex disorder of the brain that causes wide-ranging effects on the day-to day functioning of young adults in work and college.

The most likely cause for this disorder is a congenital or traumatic injury to the right brain. This is the location of the majority of the long, mylenated fibers which are the “highways” of the brain. The right brain takes care of many diverse functions such as planning, organization, social interaction, maintaining mood, and coordination.

Although each individual is affected differently, this disability generally impacts a young adult’s ability to organize schedules, carry through on tasks which require multi-step planning and follow-through, and deal with changes in time and place. Difficulty with subtle nonverbal cues are also common in most NLD students. NLD often causes high anxiety and impairs the fluid use of socially correct language. Double meanings, sarcasm, and polite white lies are all difficult for these young adults.

Many of these students are very bright academically, and it is easy for professionals and teachers to be confused or annoyed by the gap between their high academic skills and their poor organizational abilities. Unlike blindness or other sensory disorders, this disability is invisible. While students with cerebral palsy are routinely provided with note takers or computers,it is very difficult for college students with NLD to receive services. Frequently, these students are told they are irresponsible and should just try harder. But since NLD is a serious condition, the student is only able to achieve success when specific interventions are in place. Without help, students can become crippled by anxiety and shame, frequently dropping out of school and developing severe psychiatric problems. With these interventions, many students succeed in work and school.

The methods used are neither complex nor expensive, but they do require a radical change in perspective. First, professionals must be educated about the disability. This will lead to the understanding that right-brain injuries are real, although invisible, and pose a great challenge to the student. Counselors must be positive and affirming, and let the student know that they are a team who will work together to find strategies and support for the student. Young adults with NLD are so used to school and work authorities who are frustrated with them that even this simple change in perspective can be very powerful. Having an informed, helpful person to aid in the student’s problem-solving is crucial to student success. Given the time constraints that many professionals and teachers face, a question often asked is, “How can I achieve a basic understanding of NLD?”

There are excellent articles available at www.NLDline.com or www.NLDontheweb.org However, a model I use with students may be useful in seeing how the condition impacts day to day living.

(Here I insert the model with the island in the middle with the palm trees, and grass hut, then other concentric circles that get into the area of comfort like words about facts, predictable safe people, routine and structure. Outside of that are the circles with time and spaces that change, unpredictable people, ideas about theoretical people.)

From this model, it can be seen that the student with NLD is most at home in the world of words about unchanging, intellectual facts. Students enjoy and excel at learning the vocabulary and rules about everything from physics to computer games. This ability is a mixed blessing, as our society often defines people with large vocabularies as being very bright and capable in all areas. Instructors and counselors may be surprised and indignant when NLD students do so poorly in organization and time management, forgetting deadlines, appointments, and changes in class time. We know from experience that most students with NLD will do best in classes or jobs that have a heavy emphasis on facts, memorization, and a built-in schedule. Classes in which the bulk of work is done in class are especially successful, such as writing workshops, labs, or practicums which use special equipment. This is because the class itself provides the structure for the student.

Predictable, accepting people are also near the area of comfort, and from this we see that students/workers find it easiest to succeed if they deal mainly with these types of people. Most students with NLD suffer from a great deal of anxiety due in part to the disorder and in part from their inability to read faces and nonverbal language with ease. NLD students should have access to instructors and counselors who will be accepting of the fact that the student may need accommodations.

Just outside the comfort zone are ideas and inferences about facts. We can see that critical thinking may challenge students a little more. Drawing conclusions, solving problems that are written or presented in a different way than they were taught, and some aspects of inferential thinking may be more difficult than one would expect. Symbolism in novels, stories, and poems can be quite difficult for these students.

Moving further outside the zone of competence, we see that issues of time and space will pose challenges for the student affected by NLD. It may take anywhere from a several days to a few years for a student to navigate around the college or large work area. Support staff can help offering an escort to help point out and write down landmarks, a “script” of where to go, while some students with NLD will use a map.

It is equally difficult for our students to cope with time. Time is simply not a concrete fact that can be seen or touched, so it has little reality for these students. Regular appointments for work meetings or office hours are preferable to those which change. Use of an appointment book is very helpful. Ideally, a student will be shown several different ways to keep track of appointments, rather than only one. For important appointments, an e-mail or phone call from a counselor or coach can be a great first step. After a few weeks, the student can call the coach as a check-in that he/she remembered the appointment. It should not be assumed that the student is unmotivated based only on ability to be present at an appointment, as this is a part of the disability.

Far outside the comfort zone, (near the alligators!) we find unpredictable people and those who are ignorant of the impact that NLD has on a student. “Unpredictable people” for NLD students, are those who moods or disposition alter quite a bit from day to day, those who have a very neutral face with little expression, or those who raise their voices at unexpected times. This can be very stressful for the student. If the unpredictable person is accepting of the student, however, most students can eventually learn to cope with this type of person.

The greatest problem for students with NLD are people who are know nothing about NLD and are aggressive or hostile toward the student. Many are sure that the student has just been overprotected and needs to deal with the “real world”. While “tough love” works with some students, it rarely does with the NLD student. They misread “tough love” as meaning the employer or instructor hates them, and they rarely understand such vague concepts as “pull yourself together”, or “grow up”. Instead of making positive changes, they are flooded with anxiety.

It would be best for students to avoid this type of person if possible. If not, the student should go with an anchor person who can help with the situation. Role plays in which the student successfully explains the disability to a sympathetic listener, even by initially giving an information sheet about NLD and answering questions, should be extensively used first. This can be followed by explanations to an sympathetic adult (such as an instructor) in a real life setting. Only then should role plays toward a person with a more negative mindset begin.

NLD students have so often been told, “You ought to know that by now!” that they are very hesitant to seek help. It will help to tell the student that you will not shame her for asking “stupid” questions. After an explanation, have them explain the work assignment back to you. It’s useless to say, “Do you understand?” when a student isn’t sure what he or she might be missing.

Finally, for many students, one of the most difficult things in college or work is to make a hypothesis about the imagined behavior of people not personally known to the student. This struggle is seen in work when young adults deal with the general public, especially with frustrated customers. It’s also seen when students try to respond to questions in literature classes. Tutoring may be helpful here, as are templates for writing. In the same way, a worker should receive clear directions about how to handle people related problems. The more detail offered, the better the results will be.

Key strategies in helping the student will include:

· Understanding NLD

· Using student’s strengths in memory and rules to offset other problems

· Providing extra help in management of time and organization

· Use predictable, accepting people to problem solve solutions.

· Emphasize self-advocacy through scripts and role play

· Offers of help develop systems for student to track appointments

· Understand that the student is hesitant to ask for help.

· Offer tutoring for written assignments, especially novels or stories which involve complex characters and symbolism.

There are many other ways to help, including low and high-tech aids, but they are beyond the scope of this article. Although the focus here has been on the young person’s challenges, NLD young adults also have many wonderful traits such as persistence, reliability, honesty and a desire to succeed. Helping them to use their strengths to compensate for their problems is the key to success.

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Limited conservatorships: powers granted, why get a co-conservator …

Limtied Conservatorships typically remove up to seven (7) powers: medical, finaincial, educational are three of them. Getting a co-conservator may be helpful. Filing without a lawyer In Pro Per can be done and Santa Cruz County provides assistance. The regional center is required by law to provide a report to the court once they receive Notice including a stamp from the clerk with PR number and Date of Hearing.

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In California, most conservatorships granted are “limited” conservatorships and typically up to seven (7) powers can be removed.  Control over medical decisions, over financial decisions and over educational decisions are three of the seven powers typically removed from the conservatee and given to the conservator.

Having a co-conservator to serve with the conservator who can act equally with the conservator is frequently helpful.  So, think about whether it might be wise to have a co-conservator on the Petition.

In Santa Cruz County you can get assistance and file In Pro Per without the assistance of a lawyer.

Once you have a PR number assisgned and are given a Hearing Date be sure to give Notice of Hearing to the regional center closest to you.

The Hearing Date and PR number are necessary for the regional center to prepare the required report and provide it to Superior Court. The regional center is requred by law to provide a report to Superior Court once there is a stamp from the clerk of the court.

The whole process of getting a Limited Conservatorship is paper intensive and about 18 different pieces of paper may be required.

The paperwork typically provided to the regional center include: CG-020 Notice of Hearing – Guardianship or Cnservatorship
GC-310 Petition for Appointment of Probate Conservator of the Person – 7 pgs

Attachment 1c: If no other assets, then no bond required
Attachment 1h list of the powers (e.g., medical, educational, contract) requested under 2351.5

Attachment 1l request that the signature of either co-conservator

Attachment 3f(1) list of the only living 1st and 2nd degree relatives
Attachment 3f(2) who the proposed con-conservator is

To find out about the powers that can be removed, GOOGLE  California Probate Code and look at Section 2351.5 which lists the specific powers.  See below: 

2351.5. (a) Subject to subdivision (b):

(1) The limited conservator has the care, custody, and control of the limited conservatee.

(2) The limited conservator shall secure for the limited conservatee those habilitation or treatment, training, education, medical and psychological services, and social and vocational opportunity as appropriate and as will assist the limited conservatee in the development of maximum self-reliance and independence.

(b) A limited conservator does not have any of the following powers or controls over the limited conservatee unless those powers or controls are specifically requested in the petition for appointment of a limited conservator and granted by the court in its order appointing the limited conservator:

(1) To fix the residence or specific dwelling of the limited conservatee.

(2) Access to the confidential records and papers of the limited conservatee.

(3) To consent or withhold consent to the marriage of, or the entrance into a registered domestic partnership by, the limited conservatee.

(4) The right of the limited conservatee to contract.

(5) The power of the limited conservatee to give or withhold medical consent.

(6) The limited conservatee’s right to control his or her own social and sexual contacts and relationships.

(7) Decisions concerning the education of the limited conservatee.

(c)

Any limited conservator, the limited conservatee, or any relative or friend of the limited conservatee may apply by petition to the superior court of the county in which the proceedings are pending to have the limited conservatorship modified by the elimination or addition of any of the powers which must be specifically granted to the limited conservator pursuant to subdivision (b). The petition shall state the facts alleged to establish that the limited conservatorship should be modified. The granting or elimination of those powers is discretionary with the court. Notice of the hearing on the petition shall be given for the period and in the manner provided in Chapter 3 (commencing with Section 1460) of Part 1.

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Great Lemons at a great price!

Tak's lemons!

Crave lemon pie? Want some great lemons? Like to visit an old fashioned lemon stand?

When near Oxnard, California go to Walnut Drive and Vineyard Avenue. Five lemons for a dollar. Get a brown paper bag and full it up. Leave your money in the bucket. Enjoy!

To see more photos by Bryce Yukio Adolphson go to:Bryce Yukio Adolphson

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Aptos psychologist: What do muslim women think?

Monterey Bay Forum www.freedomOK.net welcomes musim women to post. What are your hopes and dreams? Talk about your life. Do you read the Koran? Send to DrCameronJackson@gmail.com
خليج مونتري www.freedomok.net يرحب منتدى النساء المسلمات فيما بعد عن حياتهم. *ما هي جهودكم الآمال والأحلام? هل قرأتم القرآن? ارسال البريد الالكتروني drcameronjackson@gmail.com

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Aptos psychologist: from the Koran/ Quran- “Women are your fields, go then, into your fields whence you please.” de-humanizes women into things to be used by Islamic men

Given that Islam treats women as less than human — as fields to be used as Islamic men choose — it’s no wonder that Islamic countries fare poorly.

The report below by Josh Sayles appears in today’s Jewish News of Greater Phoenix. It is a follow-up report to the original report (“Islam 101? BJE Course on radicalism labeled as Basics- July 30, 2010) in the Jewish News about the “Islam 101” course taught by Carl Goldberg and sponsored by the local chapter of the Bureau of Jewish Education. You may also recall the op-ed Dr. Jasser wrote, “A Course on Islam”, (July 30, 2010) special for the Jewish News on Goldberg’s course available at this link.

2] Dr. Jasser appeared on today’s Dennis Miller radio program to discuss recent revelations that the controversial “Ground Zero” Islamic Center project is seeking a $5 million grant for contruction from the 9/11 Lower Manhattan development fund, the new TSA screening kerfluffle, and the Oklahoma question 755 against sharia law. Listen to the interview at Dennis Miller’s homepage (subscribers only). — “Jasser on Chutzpah” – We will try to obtain the interview for posting at our site soon.

A Course on Islam reignites community concern
November 24, 2010
Jewish News of Greater Phoenix
by Josh Sayles, Staff Writer

Despite concerns expressed last summer by community leaders including Temple Kol Ami’s Rabbi B. Charles Herring and Anti-Defamation League Regional Director Bill Straus about Dr. Carl Goldberg’s views on Islam, the Bureau of Jewish Education brought Goldberg back this fall to teach about the religion.

“I obviously don’t make the decisions of how to manage the Bureau of Jewish Education, nor would I expect (BJE Director) Aaron (Scholar) to attempt to manage the affairs of the ADL,” said Straus. “I am disappointed, though. It’s been obvious to me for years that Carl made up his mind (about Islam) a long time ago and is unwilling to hear any side of this issue other than the one he insists on embracing.”

Goldberg, who is a Realtor, is Jewish and has a doctorate in Russian history, recently taught a six-part weekly course titled “Islam and the Quran” Oct. 13-Nov. 17 through the Bureau of Jewish Education in Scottsdale; this reporter attended four of the six classes. Goldberg taught a similar class at the bureau, “Islam 101,” last summer (“Islam 101? BJE course on radicalism labeled as basics,” Jewish News, July 30).

In both BJE courses, Goldberg highlighted dozens of controversial passages in the Quran, such as: “Let those fight in the way of Allah who sell the life of this world for the other. Whoso fighteth in the way of Allah, be he slain or be victorious, on him We shall bestow a vast reward;” and, “Women are your fields; go then, into your fields whence you please.”

Goldberg emphasized to both his students and to Jewish News that the theories he presents are not his, and that he gets his information “from the most esteemed Muslim scholars of the 20th century,” such as Sayyid Qutb, Abul Maududi and Yusuf al-Qaradawi; he also frequently cites Robert Spencer. He said when he speaks of the dangers of Islam he is not talking about all Muslims, only those who follow Islamic doctrines.

Islamic doctrines are the principal foundations of the religion.

For the fourth session of “Islam and the Quran,” held Nov. 3, Scholar invited Dr. M. Zuhdi Jasser, a local Muslim, to be guest lecturer. Goldberg and Jasser have fundamental differences in their approaches to Islam.

Scholar told Jewish News those differences were of little concern to him. “I don’t care whether people agree with each other,” he said. “(Jasser’s) was a viewpoint we needed to hear.”

Jasser, an internist, is the founder of American Islamic Forum for Democracy and believes that Islam needs severe reform. He advocates for the separation of “mosque and state” and calls for other moderate Muslims to speak out against Shariah (Islamic) law as a form of government. Jasser admitted that there are not many Muslims, local or otherwise, willing to publicly support his ideas.Goldberg rejects Jasser’s attempts at reform as “not viable” and says that pious Muslims must, at Allah’s orders, blindly follow the Quran – interpreted as the literal word of Allah – which is why passages like the aforementioned one are fuel for terrorism. Jasser agrees that there are problematic verses in the Quran, but rejects Goldberg’s views on Islam as “fossilized.”

Their differences were on display during Jasser’s talk. He began by telling the 17 students that he had an hour to deprogram them of everything they had been learning, and then promptly passed around handouts that read, “‘Carl Goldberg’s’ Islam is uni-dimensional.”

Meanwhile, Goldberg sat in the corner quietly taking notes and chuckling softly every time Jasser quipped a zinger in his direction. Goldberg spent much of the next class rebutting Jasser’s presentation.

“It’s just been beyond frustrating to see how the comments (Goldberg) makes today … about Islam and Muslims and the Quran are exactly the same type of ones he (said) in 2003,” Jasser told Jewish News. “There has been absolutely no progress … from his perspective of what the solution is.

“The only reason I (lectured in) this course is because … I think that his students deserve to hear a different perspective.”

“I’m not in the business of providing solutions,” Goldberg responded. “I’m in the business of providing the truth about Islam so that people can become educated and learn about it. The solutions will be left up to the American people in an open discussion.”

Jasser said Goldberg’s explanation was inadequate.

“For him to … say that it is appropriate, in a setting where America’s No. 1 fear currently is the security threat from radical Islam, to present these problems without solutions is just dangerous,” he said. “It’s like sitting down and talking to patients about cancer without giving them any hope of any solution or any treatment.”

Jasser went on to claim that Goldberg believed “that every Muslim that reads the Quran piously is a possible enemy of this country.”

“(The Quran) says that non-Muslims are the vilest of beasts, the lowest of animals, the worst of creatures, and that non-Muslims are your enemy,” Goldberg replied. “(When) you believe you’re reading the literal word of God, what do you do with it?”

Additionally, in his Nov. 10 class, Goldberg said of secular Muslims, “They may not read the Quran, they may not go to mosque, but they hate the Jews. That much they’ve been taught.”

“That statement is offensive and not true of the Muslims I know,” said Jasser. “He’s basically saying that the secular Muslims are like the Fatah, and the Islamists are like Hamas. That paradigm may be true in the West Bank and Gaza, but to apply that to 1.5 billion Muslims is absurd.”

Scholar, too, distanced himself from Goldberg’s statement about secular Islam. “That is not a view that I would support in any way,” he said.

Scholar said that the purpose of the class was intended to be “instructional, not indoctrinating. We really believe that (our students) are smart. … Let them make up their minds.”

“Give Carl some credit,” Scholar added later. “He may be overzealous sometimes, but he believes in what he’s doing.”

When Jewish News asked Scholar if Goldberg would be teaching about Islam for the BJE next semester, he said only, “Just watch our class offerings. That’s all. The bureau doesn’t have to deal in controversy, we don’t have to deal in negativism. We’re not indoctrinators, we’re teachers, and we want to teach.”

Goldberg said that if he had the choice of picking a guest lecturer, he would have invited Azra Hussain, co-founder and director of the Islamic Speakers Bureau of Arizona. He said that she is more closely aligned than Jassser with mainstream Islam and would have a more difficult time refuting problem passages from the Quran.

Hussain, shocked Goldberg would want her to speak in his class, said that his claims were not wrong, “but he makes it sound as if I’m avoiding (discussing the Quran),” she said. “I’m not avoiding it. It’s just that’s not what I’ve been asked to do.

“When you go and talk about Christianity 101, nobody’s asking you to sit down and talk about the books of the Bible and the New Testament,” she said. “I don’t do presentations about the Quran ever. … I do an Islam 101 presentation, telling about practices, belief, holidays, terminology (and) demographics.”

Scholar said that for the second semester in a row, Goldberg received “very positive” marks from students.

“It’s a very necessary course to have because we are at war, whether people want to acknowledge it or not, with the radical extremists of Islam,” said Honey Levin, one of Goldberg’s students. “They have stated over and over as they (fly) into our buildings and as they try to kill us that it’s all done in the name of Allah.”

Levin, like several other students Jewish News spoke to, said that she respects Jasser greatly and was thrilled he came to speak, but disagrees with his views on Islam.

“I’d love to believe his interpretation of the Quran, but it doesn’t hold water with the people that are trying to kill us,” she said.

Dr. Lance Cohen, a student who said he knew nothing of Islam before attending the course, said he also falls “more in Goldberg’s camp.”

“(He) has his biases … but what Goldberg’s trying to sell, I’m buying,” he said. “One of the main themes that Carl kept hammering home is that (Islam) is more than just a religion, it’s an ideology. I think that’s absolutely crucial to understand. Islamic thought is all about controlling society, controlling the people that are in it, waging war against infidels and converting as many people to Islam as possible.”
Of several students Jewish News spoke to who lean toward Jasser, Barbara Davis was the only one willing to go on the record. She said she attended the class because she thought it was important to hear the other side, but “there’s no question (Goldberg) has an agenda. It’s a frightening agenda, and I think that most people in the class were on his wavelength.”

“His agenda was to ‘educate’ us – and I’m putting the word ‘educate’ in quotes – to the fact that there is a very large group of people, maybe one half of the (world’s) 1.5 billion Muslims, who are set on making the world into a place that (operates) on Shariah law, and that the rest of the Muslim world is either oblivious to it or doesn’t care,” she said.

“I know Dr. Goldberg feels that it is a very dangerous situation out there, and maybe he’s right. I’m not saying there aren’t elements that are dangerous. But … he keeps pointing to the fact that there’s this large group that wants to take over the world and you better look out. I felt like the whole course was, ‘You better look out.'”

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