Natural Language Processing Multimodal Artificial Intelligence Framework Design to Support Inclusive Higher Education Using Mixed Methods Approach in Indonesia and Malaysia

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Nanang Husin, Ummu Ajirah Abdul Rauf, Hujjatullah Fazlurrahman, Anita Safitri, Riska Dhenabayu, Aldi Muhamad Fitrah

2026 TEM Journal Vol. 15 Issue 2 Article Cited by 0

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. © 2026 Nanang Husin et al.

Affiliations

Universitas Negeri Surabaya, Jl. Ketintang, Surabaya, 60231, Indonesia; Graduate School of Business, Universiti Kebangsaan Malaysia, Selangor, Bangi, 43600, Malaysia; Department of Photography, Journalistic Concentration, Universitas Pasundan, Jl. Dr. Setiabudi No. 193, Bandung, 40154, Indonesia