An Adaptive Neuro-Fuzzy Inference System-Based Ubiquitous Learning System to Support Learners With Disabilities

Olutayo Kehinde Boyinbode, Kehinde Casey Amodu and Olumide Obe
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Olutayo Kehinde Boyinbode: Department of Information Technology, Federal University of Technology, Akure, Nigeria
Kehinde Casey Amodu: Department of Computer Science, Federal University of Technology, Akure, Nigeria
Olumide Obe: Department of Computer Science, Federal University of Technology, Akure, Nigeria

International Journal of Multimedia Data Engineering and Management (IJMDEM), 2021, vol. 12, issue 3, 58-73

Abstract: Lack of standard learning infrastructures in secondary and tertiary institutions in most developing countries have made learning cumbersome for the disabled, as most available learning environments were designed to cater mainly for normal learners with little or no consideration for learners with disabilities, thereby resulting to poor academic performance among these affected groups. This paper implements an ANFIS (adaptive neuro-fuzzy inference system)-based ubiquitous learning middleware to support disabled learners by providing suitable learning content for them. The system evaluation showed the effectiveness of the developed ANFIS-based u-learning system in proffering solutions to some of the challenges faced by disabled learners as the system attained 94% correctness, 88% satisfaction, 78% validation, 78% system simplicity, 88% system feedback, and 94% efficiency for the learners.

Date: 2021
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