Natural Language Processing Multimodal Artificial Intelligence Framework Design to Support Inclusive Higher Education Using Mixed Methods Approach in Indonesia and Malaysia
Natural Language Processing Multimodal Artificial Intelligence Framework Design to Support Inclusive Higher Education Using Mixed Methods Approach in Indonesia and Malaysia
Author(s): Nanang Husin, Ummu Ajirah Abdul Rauf, Hujjatullah Fazlurrahman, Anita Safitri, Riska Dhenabayu, Aldi Muhamad FitrahSubject(s): Higher Education , ICT Information and Communications Technologies, Inclusive Education / Inclusion
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Natural Language Processing; Artificial Intelligence; inclusive higher education; accessibility technology; disability support
Summary/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.
Journal: TEM Journal
- Issue Year: 15/2026
- Issue No: 2
- Page Range: 1465-1479
- Page Count: 15
- Language: English
