Related Experiment Video
Updated: Apr 24, 2026
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
Published on: December 15, 2023
AI-Supported Learning Platforms for Students With Developmental Disabilities: A SWOT Analysis Approach
Aydın Bulut1, Sibel Oğuz Haçat1
1Kastamonu University, Kastamonu, Türkiye.
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 alignment across pedagogical development, transparent governance and inclusive global participation, positioning AI as a catalyst for educational justice in special education.
Related Concept Videos
01:25Learning Disabilities
Dyslexia
Dyslexia is a...
01:21Cognitive Learning
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
01:29Intellectual Disability