AI‐Supported Learning Platforms for Students With Developmental Disabilities: A SWOT Analysis Approach
 
Yazarlar (2)
Doç. Dr. Aydın BULUT Kastamonu Üniversitesi, Türkiye
Prof. Dr. Sibel OĞUZ HAÇAT Kastamonu Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı JOURNAL OF INTELLECTUAL DISABILITY RESEARCH (Q1)
Dergi ISSN 0964-2633 Dergi Bilgileri (2026)
Dergi Tarandığı Indeksler SSCI
Makale Dili İngilizce Basım Tarihi 08-2026
Kabul Tarihi 17-04-2026 Yayınlanma Tarihi 23-04-2026
Cilt / Sayı / Sayfa 70 / 8 / 788–800 DOI 10.1111/jir.70108
Makale Linki https://doi.org/10.1111/jir.70108
UAK Araştırma Alanları
Sınıf Eğitimi
Özet
Background This study examines the evolving role of Artificial Intelligence (AI) in developmental disability education, focusing on the shift from diagnosis‐centred approaches to inclusive, learning‐oriented paradigms grounded in STS, UDL and TPACK frameworks. Method A bibliometric and SWOT‐based analysis was conducted on 1221 publications (2008–2025) indexed in the Web of Science to explore research trends, conceptual developments and international collaborations. Results Findings show that AI‐supported learning platforms enhance personalisation, accessibility and data‐driven pedagogy but are constrained by ethical, pedagogical and infrastructural challenges. The SWOT analysis identifies AI as a transformative yet fragile innovation dependent on teacher competence, ethical governance and global equity. Conclusions Achieving a sustainable and human‐centred AI ecosystem requires …
Anahtar Kelimeler
artificial intelligence | developmental disabilities | inclusive education | SWOT analysis | systematic review