Abstract

This study explores the experiences of tertiary students in Benguet in using Artificial Intelligence (AI). Employing a mixed-method research design, the study gathered quantitative data through electronic surveys from 66 tertiary students and qualitative data via semi-structured interviews with 12 students from three Higher Education Institutions in Benguet. The research analyzed the types of AI tools used, how students utilize them, the challenges encountered, and their adaptive strategies.

The findings reveal that students commonly use generative AI tools such as ChatGPT, Cici, and Grammarly primarily for information acquisition, grammar checking, and enhancing outputs. Efficiency and convenience is identified as a common reason why students use these AI tools. This study higlights two main approaches to AI including AI-assisted shortcutting, where students heavily rely on AI-generated output with minimal intervention, and Human-in-the-loop (HITL), involving more human control through collaborative ideation, content improvement, text mining, and plagiarism detection. The study highlights several challenges, including limited accessibility to premium AI features, and inconsistent internet connectivity. It identified perceived challenges such as inaccuracies and insufficient data on specific topics like indigenous knowledge, lexical complexity of AI language, and issues such as the potential for AI dependency and plagiarism. In response to these challenges, students employ cross-referencing with traditional resources and tool-chain integration to verify information and enhance AI-generated content.

The study concludes that while generative AI offers convenience, its misuse can lead to inaccurate outputs, AI dependency, and plagiarism. It recommends that educational stakeholders should develop AI policies and implement AI literacy programs to guide students toward the effective and ethical integration of AI in their learning.

Keywords

  • One Belt One Road
  • New Nationalism
  • Higher Education Internationalization
  • National Confidence
  • Disability Equality
  • the June Opinion

References

  1. Abbas. (2024). Enhancing Student Engagement through AI-driven Analytics in Higher Education Institutions. 10.13140/RG.2.2.28982.47682.
  2. Al Zaidy, A. (2024). The Impact of Generative AI on Student Engagement and Ethics in Higher Education. https://doi.org/10.70715/jitcai.2024.v1.i1.004
  3. Arcilla, A. O., Espallardo, A. K. V., Gomez, C. A. J., Viado, E. M. P., Ladion, V. J. T., Naanep, R. A. T., Pascual, A. R. L., Artificio, E. B., & Tubola, O. D. (2023). Ethics in AI Governance: Comparative Analysis, Implication, and Policy Recommendations for the Philippines. 319–326. https://doi.org/10.1109/icsec59635.2023.10329756
  4. Cabuquin, J., Acidre, M. A. S., Manabat, M. A. A., Aruta, M. G. H., Sangutan, J., & Yu, R. F. B. (2024). The role of ChatGPT on academic research: perspectives from filipino students across diverse educational levels. Salud, Ciencia y Tecnología - Serie de Conferencias, 3.
  5. https://doi.org/10.56294/sctconf2024.1205
  6. Cacho, R. M. (2024). Integrating Generative AI in University Teaching and Learning: A Model for Balanced Guidelines. Online Learning. https://doi.org/10.24059/olj.v28i3.4508
  7. Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: a review. IEEE Journals & Magazine | IEEE Xplore.https://ieeexplore.ieee.org/document/9069875
  8. Cipolle, A. (2022). How Native Americans are trying to debug A.I.’s biases. The New York Times. https://www.nytimes.com/2022/03/22/technology/ai-data-indigenous-ivow.html
  9. De Jesus, F., Ibarra, L., Villanueva, W., & Leyesa, M. (2024). ChatGPT as an Artificial Intelligence Learning Tool for Business Administration Students in Nueva Ecija, Philippines. International Journal of Learning, Teaching and Educational Research, 23(6), 348–372.
  10. https://doi.org/10.26803/ijlter.23.6.16
  11. Education in the era of artificial intelligence: an evidence from dhaka international university (diu). (2024). Bangladesh Journal of Multidisciplinary Scientific Research. https://doi.org/10.46281/bjmsr.v9i1.2186
  12. Estrellado, C. J. P., & Miranda, J. C. (2023). Artificial Intelligence in the Philippine Educational Context: Circumspection and Future Inquiries. International Journal of Scientific and Research Publications, 13(5), 16–22. https://doi.org/10.29322/ijsrp.13.05.2023.p13704
  13. Felicetti, A. M., Cimino, A., Mazzoleni, A., & Ammirato, S. (2024). Artificial intelligence and project management: An empirical investigation on the appropriation of generative Chatbots by project managers. Journal of Innovation & Knowledge, 9(3), 100545. https://doi.org/10.1016/j.jik.2024.100545.
  14. Government Approaches and Discussions on Addressing AIGC Challenges in Education. (2024). Frontiers in Educational Research, 7(6).
  15. https://doi.org/10.25236/fer.2024.070629
  16. Kelly, R. (2024, August). Survey: 86% of Students Already Use AI in Their Studies. CampusTechnology. https://campustechnology.com/articles/2024/08/28/survey-86-of-students-already-use-ai-in-their-studies.aspx
  17. Milberg, T. (2024). The Future of Learning: AI is revolutionizing education 4.0. World Economic Forum. https://www.weforum.org/agenda/2024/04/future-learning-ai-revolutionizing-educ ation-4-0/#:
  18. Pavešić, B. J., & Cankar, G. (2022). Textbooks and students’ knowledge. Center for Educational Policy Studies Journal, 12(2),29–65. https://doi.org/10.26529/cepsj.1283
  19. Pawar, P. (2023). AI-Enhanced education: personalized learning and educational technology. ResearchGate. https://doi.org/10.25215/9358791152.01
  20. Teh, R. K. (2023b, November 26). Report sees AI, skills-based learning as top trends in PH higher educ in 2024. Newsbytes.PH. https://newsbytes.ph/2023/11/26/report-sees-ai-skills-based-learning-as-top-trends-in-ph-higher-educ-in-2024/#:
  21. Verma, M. (2018). Artificial intelligence and its scope in different areas with special reference to the field of education. International Journal of Advanced Educational Research, 3(1), 5-10. https://files.eric.ed.gov/fulltext/ED604401.pdf
  22. Williams, D. H., & Shipley, G. P. (2021). Enhancing Artificial Intelligence with Indigenous Wisdom. Open Journal of Philosophy, 11, 43-58.
  23. https://doi.org/10.4236/ojpp.2021.111005
  24. Xie, Q., Li, M., & Enkhtur, A. (2024). Exploring Generative AI Policies in Higher Education: A Comparative Perspective from China, Japan, Mongolia, and the USA. https://doi.org/10.48550/arxiv.2407.08986