Advancements in Understanding and Supporting Intelligence and Diversity in Autism Spectrum Disorder
A special issue of Journal of Intelligence (ISSN 2079-3200).
Deadline for manuscript submissions: 22 January 2027 | Viewed by 1617
Editors
Interests: ASD children identification; early childhood education and intervention; neuroscience and neurodevelopment; inclusive education
Special Issue Information
Dear Colleagues,
Autism Spectrum Disorder (ASD) is a prevalent neurodevelopmental condition characterized by social communication difficulties, restricted and repetitive behaviours, and great individual differences in intellectual development. Understanding the structure and development of intelligence, as well as various forms of intelligence, including emotional intelligence, and related cognitive, social, and emotional abilities in ASD is critical for both basic research and early intervention. Despite increasing research efforts, significant gaps remain in characterizing these abilities across developmental stages and in developing reliable and sensitive assessment methods. In this Special Issue, we seek to address these challenges by collating research that advances the empirical and methodological understanding of intelligence, emotional intelligence, and cognitive functioning in individuals with ASD.
We are pleased to invite you to contribute to this Special Issue in the Journal of Intelligence. This Special Issue aims to advance the understanding of intelligence, with a specific focus on expanding the scope to include emotional intelligence and cognitive functioning in ASD by integrating research on cognitive structure, developmental trajectories, and innovative assessment and measurement methods, including AI-assisted analysis.
In this Special Issue, submissions of original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Early identification and assessment of ASD using behavioural, cognitive, or AI-assisted approaches;
- Emotional intelligence and related socio-emotional competencies in individuals with ASD;
- Structural, cognitive, social, and emotional profiles of autistic individuals;
- Developmental trajectories of intelligence and emotional intelligence in ASD;
- Applications of AI or computational methods in capturing ASD-related behaviours;
- Translational research linking neurodevelopmental findings to early education and intervention.
We look forward to receiving your contributions.
Dr. Chang-Jiang Yang
Prof. Dr. Xueyun Su
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Intelligence is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- autism spectrum disorder
- intelligence
- cognitive diversity
- measurement paradigms
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