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Nakarmi, sabin, Ouazzane, Karim, Yu, Qicheng, Gill, Manmeet and Binopolous, Alexandros (2025) Adaptive learning and gamification: physical assessment tool for students with learning disabilities. In: The 18th International Conference of the Association for the Advancement of Assistive Technology in Europe (AAATE), 10-12 September 2025, University Cyprus, in Nicosia, Cyprus. (In Press)
The integration of adaptive learning and AI gamification has opened new possibilities for personalized education, particularly for students with severe learning difficulties (SLD) and profound and multiple learning disabilities (PMLD). Despite these advancements, there is a significant lack of tools capable of dynamically measuring and adaptively challenging students' physical response times, which are critical for motor skill development and engagement. This study investigates the impact of rule based adaptive difficulty in a "Whac-a-Mole" game on physical response metrics, specifically reaction time and hit consistency. By utilizing AI algorithms, the system dynamically adjusts task difficulty based on individual performance, ensuring an optimal balance of challenge and ability. Additionally, the research aims to establish baseline physical response data for each student with SLD and PMLD to better identify milestones, track progress, and support individualized learning goals. Preliminary findings suggest that the adaptive approach enhances engagement, improves response time consistency, and provides valuable data for educators and therapists to monitor physical and cognitive development. This study contributes to the development of dynamic, data-driven tools that foster measurable progress in physical response skills within adaptive educational settings.
![[thumbnail of Extended Abstract]](https://repository.londonmet.ac.uk/style/images/fileicons/text.png "Extended Abstract")
Adaptive Learning and Gamification Physical Assessment Tool for Students with Learning Disabilities.pdf - Accepted Version
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