Artificial Intelligence For Emotional And Behavioral Support: Impact On Students With Learning Disabilities

Abstract

Background: For many years since, the role of artificial intelligence (AI) in education has been seen as a promising way to meet the multifaceted needs of students with learning disabilities SwLD. There are so many reasons why these students, and particularly those with conditions such as dyslexia and dyscalculia, are at such a disadvantage academically and emotionally.

Objectives: In this study, AI contribution in supporting SwLD emotionally and behaviorally is examined with regard to the effectiveness of different AI technologies and how they can be effective in creating SwLD educational experiences.

Methods: Then, a comprehensive literature review was done to understand the current state of research of AI applications for SwLD. From the capabilities of AI technologies, such as adaptive learning systems, face expression recognition and chatbot, the SAMR-LD (substitution, augmentation, modification and redefinition – learning disability) framework was used for assessment.

Results: Results of analysis showed that less than half of the studies reviewed centred on school age children. Adaptive learning systems were the most frequently utilised of the AI tools studied. The results remind us of the capability for AI to revolutionise SwLD’s educational support not only by creating a personalised learning experience but also by monitoring emotional well-being.

Conclusion: AI has great promise to augment emotional and behavioural support to SwLD, but there is an unmet need for research. Out of all this, future studies should yet aim to discover how can AI pass on from just diagnosing learning disabilities to providing whole, personalised educational assistance to each and every one in the holistic needs that the learning disabled students need.