The role of the school psychologist in the inclusive education of school-age children with autism spectrum disorders

Social Skills Group Training for Students with Neurodevelopmental Disabilities in Senior High School-A Qualitative Multi-Perspective Study of Social Validity

Including students with neurodevelopmental disabilities (NDDs) in regular classrooms has become a law-enforced common practice in many high- and middle-income countries. Still, without appropriate actions supporting the implementation of inclusive pedagogical practice, students with NDDs remain at increased risk for absenteeism, bullying and underachievement. There is limited knowledge on the feasibility of social skills group training (SSGT) in naturalistic settings. Using a qualitative approach, the objective of this study was to explore the lived experiences of (i) students diagnosed with autism or attention-deficit hyperactivity disorder and those showing subclinical social difficulties receiving either SSGT or active social control activities in a regular senior high school setting, (ii) teachers providing SSGT or the active control activity and (iii) school leaders facilitating the implementation of these actions. Due to the impact of the COVID-19 pandemic, comparison between real life versus digital administration of SSGT was also examined. Within a randomized controlled pilot trial of the school-tailored SSGT SKOLKONTAKT^®, the primary perspectives of 20 students, teachers and school leaders on SSGT or the social control activities were explored. All groups perceived SSGT to enhance school attendance and academic achievement of students, as well as teacher inclusion skills and the social school climate. Findings indicate that SSGT is largely feasible and socially valid, and broader implementation of SSGT in school settings appears meaningful.

Understanding the experiences of self-injurious behavior in autism spectrum disorder: Implications for monitoring technology design

OBJECTIVE

Monitoring technology may assist in managing self-injurious behavior (SIB), a pervasive concern in autism spectrum disorder (ASD). Affiliated stakeholder perspectives should be considered to design effective and accepted SIB monitoring methods. We examined caregiver experiences to generate design guidance for SIB monitoring technology.

MATERIALS AND METHODS

Twenty-three educators and 16 parents of individuals with ASD and SIB completed interviews or focus groups to discuss needs related to monitoring SIB and associated technology use.

RESULTS

Qualitative content analysis of participant responses revealed 7 main themes associated with SIB and technology: triggers, emotional responses, SIB characteristics, management approaches, caregiver impact, child/student impact, and sensory/technology preferences.

DISCUSSION

The derived themes indicated areas of emphasis for design at the intersection of monitoring and SIB. Systems design at this intersection should consider the range of manifestations of and management approaches for SIB. It should also attend to interactions among children with SIB, their caregivers, and the technology. Design should prioritize the transferability of physical technology and behavioral data as well as the safety, durability, and sensory implications of technology.

CONCLUSIONS

The collected stakeholder perspectives provide preliminary groundwork for an SIB monitoring system responsive to needs as articulated by caregivers. Technology design based on this groundwork should follow an iterative process that meaningfully engages caregivers and individuals with SIB in naturalistic settings.

Multi-level modeling with nonlinear movement metrics to classify self-injurious behaviors in autism spectrum disorder

Self-injurious behavior (SIB) is among the most dangerous concerns in autism spectrum disorder (ASD), often requiring detailed and tedious management methods. Sensor-based behavioral monitoring could address the limitations of these methods, though the complex problem of classifying variable behavior should be addressed first. We aimed to address this need by developing a group-level model accounting for individual variability and potential nonlinear trends in SIB, as a secondary analysis of existing data. Ten participants with ASD and SIB engaged in free play while wearing accelerometers. Movement data were collected from > 200 episodes and 18 different types of SIB. Frequency domain and linear movement variability measures of acceleration signals were extracted to capture differences in behaviors, and metrics of nonlinear movement variability were used to quantify the complexity of SIB. The multi-level logistic regression model, comprising of 12 principal components, explained > 65% of the variance, and classified SIB with > 75% accuracy. Our findings imply that frequency-domain and movement variability metrics can effectively predict SIB. Our modeling approach yielded superior accuracy than commonly used classifiers (~ 75 vs. ~ 64% accuracy) and had superior performance compared to prior reports (~ 75 vs. ~ 69% accuracy) This work provides an approach to generating an accurate and interpretable group-level model for SIB identification, and further supports the feasibility of developing a real-time SIB monitoring system.

Detecting and Classifying Self-injurious Behavior in Autism Spectrum Disorder Using Machine Learning Techniques

Traditional self-injurious behavior (SIB) management can place compliance demands on the caregiver and have low ecological validity and accuracy. To support an SIB monitoring system for autism spectrum disorder (ASD), we evaluated machine learning methods for detecting and distinguishing diverse SIB types. SIB episodes were captured with body-worn accelerometers from children with ASD and SIB. The highest detection accuracy was found with k-nearest neighbors and support vector machines (up to 99.1% for individuals and 94.6% for grouped participants), and classification efficiency was quite high (offline processing at ~ 0.1 ms/observation). Our results provide an initial step toward creating a continuous and objective smart SIB monitoring system, which could in turn facilitate the future care of a pervasive concern in ASD.

Barriers and enablers of inclusion for young autistic learners: lessons from the Polish experiences of teachers and related professionals

Purpose

The purpose of this paper is to present new empirical data on the experiences of 120 teachers and professionals working with autistic children and young people across different settings in Poland where autism research on inclusive education is scarce. It explores the relationship of inclusive education to the social and neurodiversity models of disability. It makes evidence-based recommendations for good practice and modelling and evaluating future education and inclusion practices.

Design/methodology/approach

It uses a survey approach involving a combination of qualitative and quantitative data collection and embeds practical findings in theory, including the relationship of inclusive education to the social and neurodiversity models of disability.

Findings

The findings include the barriers teachers and related professionals experience in facilitating inclusive teaching and learning and how the following would be useful to autistic students: opportunities to exercise responsibilities and take leadership roles; social as well as educational inclusion; provision of a safe environment; regular funded autism training in work time; and appropriate use of additional classroom teachers.

Research limitations/implications

A survey-based approach has limitations.

Practical implications

Opportunities to exercise responsibilities and take leadership roles; social as well as educational inclusion; provision of a safe environment; regular funded autism training in work time; and appropriate use of additional classroom teachers.

Social implications

This study can be useful in the development of social skills and communication, social and educational inclusion.

Originality/value

Polish teachers’ attitudes, experiences and support needs, including some previously overlooked issues, are related to the broader international context beyond Poland. Analysis of the findings is used to derive evidence-based recommendations for good practice and modelling, and evaluating future education and inclusion practices.

Computer-based interventions to improve social and emotional skills in individuals with autism spectrum disorders: a systematic review

OBJECTIVE

To review studies involving the use of computer-based interventions (CBI) to improve the social and emotional skills (e.g. emotional recognition) of individuals with autism spectrum disorders (ASD).

METHODS

The use of computer-based intervention (CBI) in the treatment of autism spectrum disorders (ASD) may offer some advantages to traditional one-to-one or group instruction including easier differentiation of instruction, decreased distractions and the incorporation of an individual's relative visual learning strengths. However, the results of past research suggest varying outcomes for CBI with individuals with ASD. This review provides a systematic analysis of studies investigating CBI to improve social and emotional skills (e.g. emotion recognition) of individuals with ASD. Electronic database searches and ancestral searches were used to identify studies that met pre-determined inclusion criteria. The included studies were then summarized in terms of: (a) participant characteristics, (b) social and emotional skills targeted, (c) details of the CBI, (d) results, and (e) certainty of evidence.

RESULTS

The results of these studies indicated that CBI's effect on social and emotional skills was mixed, with the majority of studies reporting unacceptable outcomes following intervention.

CONCLUSIONS

Overall, this review suggests that the use of CBI to improve the social and emotional skills of individuals with ASD is a promising practice. A comparison of CBI plus tutoring and face-to-face social skills training suggests that CBI can be as effective as face-to-face instruction. Practitioners should carefully consider the preferences and existing abilities of individuals with ASD and the customizability of the software when deciding to use CBI and selecting a software program.

Perception of social relationships with classmates and social support in adolescents with Asperger syndrome attending mainstream schools in Poland

One of the factors affecting successful inclusion of adolescents with Asperger syndrome (AS) in mainstream schools is positive relationships with classmates. The present study investigates how adolescents with AS: (1) perceive their classmates' attitude towards them; (2) what attitude towards classmates they declare, and (3) how they assess the effectiveness of social support received from parents, teachers, and classmates. The relationship between social support received by adolescents with AS and their perception of their relationships with classmates was also analysed. There were 50 participants in the study: Two groups with equal numbers of participants, one with adolescents with AS and the other with typically developing adolescents (age 12- to 17-years-old). All participants attended mainstream schools. A set of questionnaires measuring perception of social relationships in class and perceived social support was used. Adolescents with AS gave poorer assessments of their classmates’ attitude towards them and their attitude to their classmates. They also claimed to receive less support from classmates. Moreover, that type of support was significantly correlated with their evaluation of their peers attitude towards them and declared behaviour towards their peers.

Social skills development in children with autism spectrum disorders: a review of the intervention research

Social reciprocity deficits are a core feature of the autism spectrum disorders (ASD). This review summarizes the state of research in group-based social skills training programs for school-age children and adolescents with ASD. All published studies of group social skills interventions between 1985 and 2006 were reviewed, as well as dissertations examining group-based social skills intervention programs. To assess the state of the science, a template developed by an NIMH work group was applied to 14 identified studies. Based on this review, the empirical support for this approach is incomplete, but promising intervention strategies were identified. Recommendations for the design of future treatment trials to guide clinical practice are offered.