Mapping AI Literacy and Motivation Trends among College Students in Southeast Asia
DOI:
https://doi.org/10.7719/jpair.v66i1.1053Keywords:
Education, AI literacy, Integrative literature review, Southeast Asia, PhilippinesAbstract
Artificial Intelligence (AI) is reshaping higher education across the globe. However, questions remain on how students are prepared and motivated to adopt AI tools in Southeast Asia. This paper studies the relationship between AI literacy and student motivation, focusing on the cultural and contextual factors that shape adoption and role of ethical awareness. Using an integrative review of peer-reviewed studies and policy reports published between 2018 and 2025, the research brings together regional evidence to highlight emerging patterns and gaps. Results show that students with stronger AI literacy are generally more motivated to use AI in learning, though this relationship is influenced by socio-economic background, institutional resources, and national digital infrastructure. Learners in digitally advanced countries display higher adoption rates, while those in resource-constrained settings face challenges that widen equity gaps. Ethical awareness also plays a critical role when paired with supportive institutional policies as it strengthens motivation and encourages responsible use. The study argues that comprehensive literacy programs, equity-focused initiatives, and ethics-driven curricula are vital for preparing Southeast Asian students to meet the demands of the Fourth Industrial Revolution. By mapping regional trends and pinpointing areas that need attention, this review offers insights that can guide policy, curriculum design, and institutional strategies toward more inclusive and ethical AI integration.
Downloads
References
Asio, J. M. R. (2024). Artificial intelligence (AI) literacy and academic performance of tertiary level students: A preliminary analysis. Social Sciences, Humanities and Education Journal (SHE Journal), 5(2), 309-â. https://tinyurl.com/3kn7pr4s
Avila, E. C., Abin, G. J., Bien, G. A., Acasamoso Jr, D. M., & Arenque, D. D. (2021, June). Students’ perception on online and distance learning and their motivation and learning strategies in using educational technologies during COVID-19 pandemic. In Journal of Physics: Conference Series (Vol. 1933, No. 1, p. 012130). IOP Publishing. DOI 10.1088/1742-6596/1933/1/012130
Bećirović, S., Polz, E., & Tinkel, I. (2025). Exploring students’ AI literacy and its effects on their AI output quality, self-efficacy, and academic performance. Smart Learning Environments, 12(1), 29. https://doi.org/10.1186/s40561-025-00384-3
Published
Issue
Section
License
Copyright (c) 2026 Wenna Jo P. Mantua, Roselyn R. Cagasan-Bulan, Fiona Bianca Cabradilla, Gloriane Delmonte

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Open Access. This article published by JPAIR Multidisciplinary Research is licensed under a Creative Commons Attribution-Noncommercial 4.0 International (CC BY-NC 4.0). You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material). Under the following terms, you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes.







