AI Literacy, Wise Use of AI, and Academic Integrity Among College Students in Indonesia and Thailand: A Cross-National Comparative Study
DOI:
https://doi.org/10.59890/ijeps.v4i4.23Keywords:
AI Literacy, Wise AI Use, Academic IntegrityAbstract
This study compares how Artificial Intelligence (AI) literacy influences responsible AI use and academic integrity among college students in Indonesia and Thailand. Using a descriptive qualitative method, this study synthesizes peer-reviewed literature (2021–2025) from Scopus, ERIC, ScienceDirect, Google Scholar, and SINTA. Thematic analysis reveals that while higher AI literacy correlates with responsible engagement, this still requires support from governance frameworks and assessment design. Indonesia prioritizes integrity education and detection technologies, while Thailand emphasizes governance and security mechanisms. This study provides cross-national insights and policy implications for integrating AI literacy and ethics into higher education curricula in Southeast Asia
References
Alhusni, H. Z., Habibbulloh, M., Lestari, N. A., Realita, A., Jatmiko, B., & Deta, U. A. (2024). Scientific literacy in physics learning: A bibliometric analysis from 1977 until 2023 and its impact on quality education. E3S Web of Conferences, 513, 04012. https://doi.org/10.1051/e3sconf/202451304012
Arsyad, S., Azwandi, A., & Harahap, A. (2022). Students' understanding, attitude and experience on dishonesty and plagiarism: How undergraduate and postgraduate students of English Education resemble and/or differ. JOALL (Journal of Applied Linguistics and Literature), 8(1), 1–18. https://doi.org/10.33369/joall.v8i1.20968
Braun, V., & Clarke, V. (2022). Thematic analysis: A practical guide. SAGE Publications.
Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE Publications.
Dogaru, M., Pisică, O., Răgman, A.-A., & Tololoi, I.-R. (2025). The perceived impact of artificial intelligence on academic learning. Frontiers in Artificial Intelligence, 8. https://doi.org/10.3389/frai.2025.1611183
Forgas, R. C., Lancaster, T., Curiel-Marín, E., & Garma, C. T. (2023). Automatic paraphrasing tools: An unexpected consequence of addressing student plagiarism and the impact of COVID in distance education settings. Praxis Educativa, 18, 1–19. https://doi.org/10.5212/praxeduc.v.18.21679.020
Güneş, A., & Kaban, A. L. (2025). A Delphi study on ethical challenges and ensuring academic integrity regarding AI research in higher education. Higher Education Quarterly, 79(4). https://doi.org/10.1111/hequ.70057
Gusni, G., Nugraha, N., Disman, D., & Chochole, T. (2023). Analysis of aggregate herding behavior in the capital market: Evidence from Indonesia and Singapore. Media Ekonomi dan Manajemen, 38(2), 362. https://doi.org/10.56444/mem.v38i2.3934
Isiaku, L., Kwala, A. F., Sambo, K. U., & Isiaku, H. H. (2024). Academic evolution in the age of ChatGPT: An in-depth qualitative exploration of its influence on research, learning, and ethics in higher education. Journal of University Teaching and Learning Practice, 21(06). https://doi.org/10.53761/7egat807
Karnalim, O. (2023). Maintaining academic integrity in programming: Locality-sensitive hashing and recommendations. Education Sciences, 13(1), 54. https://doi.org/10.3390/educsci13010054
Khalil, M., Prinsloo, P., & Slade, S. (2022). In the nexus of integrity and surveillance: Proctoring (re)considered. Journal of Computer Assisted Learning, 38(6), 1589–1602. https://doi.org/10.1111/jcal.12713
Manzoor, M. F., Farooq, M. S., Haseeb, M., Farooq, U., Khalid, S., & Abid, A. (2023). Exploring the landscape of intrinsic plagiarism detection: Benchmarks, techniques, evolution, and challenges. IEEE Access, 11, 140519–140545. https://doi.org/10.1109/access.2023.3338855
Miron, J., Eaton, S. E., McBreairty, L. E., & Baig, H. (2021). Academic integrity education across the Canadian higher education landscape. Journal of Academic Ethics, 19(4), 441–454. https://doi.org/10.1007/s10805-021-09412-6
Nuangchalerm, P., Islami, R. A. Z. E., & Prasertsang, P. (2022). Science attitude on environmental conservation of Thai and Indonesian novice science teacher students. International Journal of STEM Education for Sustainability, 2(2), 148–155. https://doi.org/10.53889/ijses.v2i2.62
Nugraheni, A. S. (2022). Teaching design and Indonesian language materials at universities of Thailand and Manila, Philippines, based on local wisdom in BIPA learning. Gramatika STKIP PGRI Sumatera Barat, 8(2). https://doi.org/10.22202/jg.2022.v8i2.5937
Pratama, F. Y., Andayani, A., Winarni, R., & Rohmadi, M. (2024). Challenges encountered by newly arrived Thai students when learning Indonesian as a foreign language. International Journal of Evaluation and Research in Education (IJERE), 13(1), 635. https://doi.org/10.11591/ijere.v13i1.26943
Putri, K. Y., & Naf'ihima, F. A.-R. (2025). Pre-service teachers' perceptions of generative AI: Dependency, effect, and ethics. Edulink Education and Linguistics Knowledge Journal, 7(1), 1. https://doi.org/10.32503/edulink.v7i1.6834
Raptopoulou, A. (2025). ChatGPT in higher education: Supporting academic literacy through ChatGPT-based activities. European Journal of Education, 60(2). https://doi.org/10.1111/ejed.70131
Sholikhah, Z., Adawiyah, W. R., Pramuka, B. A., & Pariyanti, E. (2023). Can spiritual power reduce online cheating behavior among university students? The fraud triangle theory perspective. Journal of International Education in Business, 17(1), 82–106. https://doi.org/10.1108/jieb-11-2022-0082
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Tawil, M., Rusli, M. A., Bakkara, H., & Jatmiko, B. (2024). Alternative virtual lab-based practical learning model to improve scientific attitude and science process skills. Jurnal Penelitian & Pengembangan Pendidikan Fisika, 10(1). https://doi.org/10.21009/1.10105
Wang, T., Lund, B., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J. (2023). Exploring the potential impact of artificial intelligence (AI) on international students in higher education: Generative AI, chatbots, analytics, and international student success. Applied Sciences, 13(11), 6716. https://doi.org/10.3390/app13116716
