A theoretically based STEM talent development program that bridges excellence gaps.

The pipeline of highly trained STEM (science, technology, engineering, and mathematics) professionals has narrowed in recent decades, forcing society to re-examine how schools are discovering and developing STEM talent. Of particular concern is the finding that rural students attend post-secondary schools at lower rates than their urban counterparts, and when they do attend, they are less likely to graduate from STEM programs. One reason may be that they are not prepared for advanced STEM coursework because they lack access to essential STEM talent-development programs in middle or high school. This creates excellence gaps, which exacerbate the narrowing STEM pipeline to the workforce. To address this, we formed a university-school partnership to develop an outside-of-school STEM talent development program, called STEM Excellence, for rural middle-school students who attend under-resourced schools. The aim of STEM Excellence was to increase students' achievement and aspirations while empowering their teachers to develop local STEM programs grounded in developmental psychology theories. STEM Excellence integrated the Talent Development Megamodel Principles of ability, domains of talent, opportunity, and psychosocial variables. STEM Excellence also recognized the interplay of multiple person-environment systems as presented in the Bioecological Systems Model.

Developmental milestones as early indicators of twice-exceptionality.

Twice-exceptional individuals are those who have high cognitive ability in one or more areas, but also have a diagnosed disability. The needs of these individuals likely differ from those with high cognitive ability without a disability and those who solely have a disability. Intervening early can offer exceptional benefits for twice-exceptional individuals, but this has proved challenging due to the high cognitive abilities masking disabilities. This study explores if parent-reported developmental milestones can predict the number of disabilities diagnosed for an individual, including Autism Spectrum Disorder (ASD), Attention-Deficit/Hyperactivity Disorder (ADHD), and Specific Learning Disorder (SLD). Using a clinical sample of about 1,300 individuals, we used a Bayesian cumulative logistic model to explore if developmental milestones can predict the number of diagnoses after controlling for IQ and age. Study results showed that when an individual began to count and read informed predictions for the number of future diagnoses in the clinical sample. Implications for future study and practitioners are discussed in further detail.

Calculating genetic risk for dysfunction in pleiotropic biological processes using whole exome sequencing data.

BACKGROUND: Numerous genes are implicated in autism spectrum disorder (ASD). ASD encompasses a wide-range and severity of symptoms and co-occurring conditions; however, the details of how genetic variation contributes to phenotypic differences are unclear. This creates a challenge for translating genetic evidence into clinically useful knowledge. Sleep disturbances are particularly prevalent co-occurring conditions in ASD, and genetics may inform treatment. Identifying convergent mechanisms with evidence for dysfunction that connect ASD and sleep biology could help identify better treatments for sleep disturbances in these individuals. METHODS: To identify mechanisms that influence risk for ASD and co-occurring sleep disturbances, we analyzed whole exome sequence data from individuals in the Simons Simplex Collection (n = 2380). We predicted protein damaging variants (PDVs) in genes currently implicated in either ASD or sleep duration in typically developing children. We predicted a network of ASD-related proteins with direct evidence for interaction with sleep duration-related proteins encoded by genes with PDVs. Overrepresentation analyses of Gene Ontology-defined biological processes were conducted on the resulting gene set. We calculated the likelihood of dysfunction in the top overrepresented biological process. We then tested if scores reflecting genetic dysfunction in the process were associated with parent-reported sleep duration. RESULTS: There were 29 genes with PDVs in the ASD dataset where variation was reported in the literature to be associated with both ASD and sleep duration. A network of 108 proteins encoded by ASD and sleep duration candidate genes with PDVs was identified. The mechanism overrepresented in PDV-containing genes that encode proteins in the interaction network with the most evidence for dysfunction was cerebral cortex development (GO:0,021,987). Scores reflecting dysfunction in this process were associated with sleep durations; the largest effects were observed in adolescents (p = 4.65 × 10-3). CONCLUSIONS: Our bioinformatic-driven approach detected a biological process enriched for genes encoding a protein-protein interaction network linking ASD gene products with sleep duration gene products where accumulation of potentially damaging variants in individuals with ASD was associated with sleep duration as reported by the parents. Specifically, genetic dysfunction impacting development of the cerebral cortex may affect sleep by disrupting sleep homeostasis which is evidenced to be regulated by this brain region. Future functional assessments and objective measurements of sleep in adolescents with ASD could provide the basis for more informed treatment of sleep problems in these individuals.

An Introduction to the Special Issue: A Review of European and American Perspectives and Research on Talent Development.

After a century during which the psychology of high ability focused largely on innate cognitive abilities, the twenty-first century ushered in a transformative period in which views of talent broadened to include recognition that talent development is a much more complex process that begins with uncovering potential but does not stop there. Current approaches consider the whole process of talent development and include both individual and environmental aspects as well as their systemic interplay. Therefore, we can now document contributions of environmental, personal, psychosocial, educational, and chance factors to the cumulative conversion of potential abilities into high level performance or creativity. The eight contributions to this special issue flesh out various factors in the complex equation of talent development as it applies to different populations, contexts, and domains. One article addresses individual differences in abilities and how they can be measured and recognized. Another two focus on the peer group and how peers can influence creativity and acceptance. Three articles address factors of education and opportunity and how they affect the positive development of talent. One article identifies and categorizes the psychosocial skills needed for transforming potential into creative, productive achievement. A final paper addresses the place of talent development in the general developmental psychology literature.

Identifying High Ability Children with DSM-5 Autism Spectrum or Social Communication Disorder: Performance on Autism Diagnostic Instruments.

This study was a replication of Mazefsky et al.'s (Journal of Autism and Developmental Disabilities 43:1236-1242, 2013) investigation among a sample of 45 high ability children and adolescents diagnosed with ASD under DSM-IV-TR. Items from the ADOS and ADI-R were mapped onto DSM-5 diagnostic criteria for ASD and SCD to determine whether participants would meet either diagnosis under DSM-5. If the ADOS were administered alone, 62% of individuals diagnosed with ASD would no longer meet criteria under DSM-5; however, when the ADI-R and ADOS scores were combined, 100% of individuals would continue to meet ASD diagnosis. The ADOS was determined to be an insufficient measure for SCD due to the small number of algorithm items measuring SCD diagnostic criteria, suggesting the development of SCD measures is required.

Cognitive, adaptive, and psychosocial differences between high ability youth with and without autism spectrum disorder.

Research on Autism Spectrum Disorder (ASD) is thriving; however, scant empirical research has investigated how ASD manifests in high ability youth. Further research is necessary to accurately differentiate high ability students with ASD from those without the disorder, and thus decrease the risk of misdiagnosis. The purpose of the present study is to provide an empirical account of the intellectual, adaptive, and psychosocial functioning of high ability youth with and without ASD utilizing a group study design. Forty youth with high cognitive ability and ASD and a control group of 41 youth with high cognitive ability and no psychological diagnosis were included in the study. In comparison to the control group, the ASD group showed poorer functioning on measures of processing speed, adaptive skills, and broad psychological functioning, as perceived by parents and teachers. These findings have significant implications for diagnosing ASD among those with high ability, and the development of related psychological and educational interventions to address talent domains and areas of concern.

Predicting the academic achievement of gifted students with autism spectrum disorder.

We are not well informed regarding the ability-achievement relationship for twice-exceptional individuals (very high cognitive ability and a diagnosed disability, e.g., autism spectrum disorder [ASD]). The research question for this investigation (N = 59) focused on the predictability of achievement among variables related to ability and education in a twice-exceptional sample of students (cognitive ability of 120 [91st percentile], or above, and diagnosed with ASD). We determined that WISC-IV Working Memory and Processing Speed Indices were both significantly positively correlated with achievement in math, reading, and written language. WISC Perceptual Reasoning Index was uniquely predictive of Oral Language test scores. Unexpected findings were that ASD diagnosis, Verbal Comprehension Index, and forms of academic acceleration were not related to the dependent variables.

Parent, teacher, and self perceptions of psychosocial functioning in intellectually gifted children and adolescents with autism spectrum disorder.

Parent, teacher, and self-perceptions of 54 high ability students with autism spectrum disorder (ASD) were assessed through administration of the Behavioral Assessment Scales for Children, Second Edition. Parent reports resulted in clinically elevated scores on the Atypicality, Attention Problems, Depression, Hyperactivity, Withdrawal, Activities of Daily Living, Adaptability, and Social Skills subscales, and teacher reports resulted in clinically elevated scores on the Atypicality, Depression, Withdrawal, and Adaptability subscales. Self-report scores were in the average range. Parents and teachers of adolescents reported greater adaptability and fewer symptoms of atypicality than parents and teachers of children. Psychosocial functioning appears impacted in high ability students with ASD and developmental differences in severity may exist.