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Vol.15, No.2, May 2026. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Natural Language Processing Multimodal Artificial Intelligence Framework Design to Support Inclusive Higher Education Using Mixed Methods Approach in Indonesia and Malaysia
Nanang Husin, Ummu Ajirah Abdul Rauf, Hujjatullah Fazlurrahman, Anita Safitri, Riska Dhenabayu, Aldi Muhamad Fitrah
© 2026 Nanang Husin, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 15, Issue 2, Pages 1465-1479, ISSN 2217-8309, DOI: 10.18421/TEM152-43, May 2026.
Received: 10 July 2025.
Abstract:
This study proposes an NLP Multimodal AI framework through a mixed-methods approach by using high-quality insight from qualitative interviews with disability students from Indonesia and Malaysia. The interview used a selected purposive sampling for choosing the participants. The research used a combination of dual frameworks, which consist of the Digital Inclusion Model for Assistive Technologies for usability and the Technology-Organization-Environment (TOE) for feasibility. Currently, most studies have only used one framework, like UTAUT, TAM, or TOE, independently. For future research, the study will expand the scope to include a greater variety of disability types, particularly in mental health.
Keywords – Natural Language Processing, Artificial Intelligence, inclusive higher education, accessibility technology, disability support. |
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