Ethical Guidelines for Artificial Intelligence Use Among Undergraduate Students at Rajabhat Surat Thani University

Authors

  • Thanisa Sukkharom Faculty of Humanities and Social Sciences, Suratthani Rajabhat University

Keywords:

Artificial intelligence, Information ethics, Undergraduate students

Abstract

This mixed-methods study, employing an Explanatory Sequential Design, aimed to         (1) examine the behaviors of undergraduate students at Rajabhat Surat Thani University in the ethical use of artificial intelligence (AI) within an information ethics framework, (2) develop guidelines for such ethical use, and (3) produce and disseminate a practical handbook.        

The quantitative phase surveyed 450 undergraduates from the first through fourth years. The qualitative phase employed focus groups and in-depth interviews with 15 student representatives, 7 AI-using faculty members, 3 university administrators, and 6 librarians from the Central Library during the first semester of the 2025 academic year. The behavioral findings informed the design of ethical AI-use guidelines, which were translated into instructional media  including video clips and infographics comparing the strengths and limitations of widely used AI applications and consolidated into a one-page handbook with an embedded QR code. The handbook underwent expert evaluation and was refined through student feedback prior to online dissemination. The findings constitute new knowledge that promotes ethical technology use and provides relevant institutions with an evidence-based foundation for policy formulation and the advancement of AI information ethics among students and personnel in higher education.

     

 

References

กฤษฏิ์พนธ์ พรรณรัตนชัย, วรชัย ศรีสมุดคำ, มงคล ศิริวงศ์ และเทอดพงษ์ แดงสี. (2567). ประเด็นปัญหาการใช้ปัญญาประดิษฐ์ในภาคการศึกษา. ว.วิทยาศาสตร์และเทคโนโลยีมหาวิทยาลัยเซาธ์อีสท์บางกอก. 4(2), 224-241. https://doi.org/10.14456/jsci-sbu.2024.26

กระทรวงดิจิทัลเพื่อเศรษฐกิจและสังคม. (2568). Thailand AI Ethics Guideline. https://www.etda.or.th/getattachment/9d370f25-f37a-4b7c-b661-48d2d730651d/Digital-Thailand-AI-Ethics-Principle-and-Guideline.pdf.aspx?lang=th-TH

ขมณัฏฐ์ มิ่งศิริธรรม. (2566). ChatGPT กับการศึกษายุคดิจิทัล. ว.ศิลปากรศึกษาศาสตร์วิจัย. 15(2), 1–10.

https://so05.tci-thaijo.org/index.php/suedureasearchjournal/article/view/269776

สำนักส่งเสริมวิชาการและงานทะเบียน มหาวิทยาลัยราชภัฏสุราษฎร์ธานี. (2569). รายละเอียดหมวดวิชาศึกษาทั่วไป 2564. https://regis.sru.ac.th/plan

สำเนียง ยอดคีรี. (2560). จริยศาสตร์, จริยธรรม และคุณธรรม ตามแนวความคิดของนักปรัชญา. ว.ปรัชญาปริทรรศน์. 22(2), 37–53.

สุพัตรา ปากดี และธีระภาพ เพชรมาลัยกุล. (2566). แนวทางการประยุกต์ใช้ปัญญาประดิษฐ์ (AI) ในการจัดการศึกษา สังกัดสำนักงานเขตพื้นที่การศึกษามัธยมศึกษากรุงเทพมหานคร เขต 2. ว.สหวิทยาการวิจัยและวิชาการ. 4(6), 555-572. https://doi.org/10.60027/iarj.2024.278760

Creswell, J. W. & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research (2nd Ed.). SAGE Publications. https://search.worldcat.org/title/Designing- and- conducting-mixed-methods- research/oclc/558676948

Cotton, D. R. E., Cotton, P. A. , & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International. 61(2), 228– 239. https://doi.org/10.1080/14703297.2023.2190148

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 13(3),319–340. https://misq.umn.edu/misq/article-abstract/13/3/319/191/Perceived-Usefulness-Perceived-Ease-of-Use-and?redirectedFrom=fulltext

Eager, B. & Brunton, R. (2023). Prompting higher education towards AI-augmented teaching and learning practice. Journal of University Teaching and Learning Practice. 20(5), 1-19. https://doi.org/10.53761/1.20.5.02

Ivanov, S., Soliman, M., Tuomi, A., Alkathiri, N. A., & Al-Alawi, A. N. (2024). Drivers of generative AI adoption in higher education through the lens of the theory of planned behaviour. Technology in Society. 77, 102521. https://doi.org/10.1016/j.techsoc.2024.102521

Huang, L. (2023). Ethics of artificial intelligence in education: Student privacy and data protection. Science Insights Education Frontiers. 16(2), 2577–2587. https://bonoi.org/index.php/sief/article/view/1084

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement. 30(3), 607–610. https://doi.org/10.1177/001316447003000308

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

Kong, S. C. & Zhu, J. (2025). Developing and validating an artificial intelligence ethical awareness scale for secondary and university students: Cultivating ethical awareness through problem-solving with artificial intelligence tools. Computers

and Education: Artificial Intelligence. 9,25-26 https://doi.org/10.1016/j.caeai.2025.100447

Lin, X.-F., Wang, Z., Zhou, W., Luo, G., Hwang, G.-J., Zhou, Y., Wang, J., Hu, Q., Li, W., & Liang, Z.-M. (2023). Technological support to foster students' artificial intelligence ethics: An augmented reality-based contextualized dilemma discussion approach. Computers & Education. 201, 104813. https://www.sciencedirect.com/ science/article/abs/pii/S0360131523000908

Mason, R. O. (1986). Four ethical issues of the information age. MIS Quarterly. 10(1), 5–12. https://misq.umn.edu/misq/article-abstract/10/1/5/881/Four-Ethical-Issues-of-the-Information-Age?redirectedFrom=fulltext

Stone, T. H., Jawahar, I. M., & Kisamore, J. L. (2009). Using the theory of planned behavior and cheating justifications to predict academic misconduct. Career Development International. 14(3), 221–241. https://www.emerald.com/cdi/article-abstract/14/3/221/95283/Using-the-theory-of-planned-behavior-and-cheating?redirectedFrom=fulltext

Tan, M. J. T., & Maravilla, N. M. A. T. (2024). Shaping integrity: Why generative artificial intelligence does not have to undermine education. Frontiers in Artificial Intelligence. 7, 1471224. https://doi.org/10.3389/frai.2024.1471224

Walters, W. H., & Wilder, E. I. (2023). Fabrication and errors in the bibliographic citation generatedby ChatGPT. Scientific Reports. 13(1), 14045. https://www.nature.com/articles/s41598-023-41032-5

Watson, A. P. (2024). Hallucinated citation analysis: Delving into student-submitted AI-generate sources at the University of Mississippi. The Serials Librarian. 85(5–6), 197–207. https://doi.org/10.1080/0361526X.2024.2433640

Woo, D. J., Wang, D., Yung, T., & Guo, K. (2025). Effects of a prompt engineering intervention on undergraduate students' AI self-efficacy, AI knowledge and prompt engineering ability: A mixed methods study. British Educational Research Journal. Advance online publication. https://doi.org/10.1002/berj.70087

UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. Author. https://unesdoc.unesco.org/ark:/48223/pf0000381137

Yang, J., Xie, W., & Ni, J. (2025). A framework for AI ethics literacy: Development, validation, and its role in fostering students' self-rated learning competence. Scientific Reports. 15, https://www.nature.com/articles/s41598-025-21977-5

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Published

2026-07-01

How to Cite

Sukkharom, T. . (2026). Ethical Guidelines for Artificial Intelligence Use Among Undergraduate Students at Rajabhat Surat Thani University. Journal of Information Technology and Innovation, 25(1), 91–109. retrieved from https://so03.tci-thaijo.org/index.php/oarit/article/view/302014

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บทความวิจัย