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 FitrahQ327 Mei 2026Afiliasi: ID, MY
Abstrak
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-OrganizationEnvironment (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.
Identifier
- OpenAlex: https://openalex.org/W7163074921
- DOI: https://doi.org/10.18421/tem152-43