DARI SOCRATES KE CHATGPT: TRANSFORMASI ETIKA KEILMUAN DI ERA KECERDASAN BUATAN GENERATIF DAN IMPLIKASINYA BAGI MAHASISWA PENDIDIKAN TINGGI (2021–2025)

Authors

  • Bayu Kurniawan Universitas Negri Malang
  • Yuliati Hotifah Universitas Negri Malang
  • Sofyan Setiawan Universitas Negri Malang

DOI:

https://doi.org/10.23969/jp.v11i02.50092

Keywords:

academic ethics, generative AI, ChatGPT, academic integrity, guidance and counseling.

Abstract

The emergence of generative AI, particularly ChatGPT since late 2022, has
triggered structural disruption to academic ethics in higher education. This study
maps the transformations in academic ethics during the generative AI era and their
implications for students, employing an analytical framework integrating educational
psychology and guidance and counseling. A Systematic Literature Review (SLR)
was conducted following PRISMA guidelines and the PICOC framework via the
Scopus database. From an initial pool of 865 articles, 28 met the inclusion criteria.
Findings reveal five convergent dimensions of transformation: reconceptualization
of plagiarism (AI-giarism), normalization of AI-assisted academic misconduct,
erosion of epistemic ownership (digital centaur authorship), stratification of students'
moral reasoning, and structural asymmetry between technology adoption and
institutional governance. Analysis through the lenses of Kohlberg's moral
development theory, self-regulated learning, and cognitive dissonance
demonstrates that student behavior toward AI is shaped by the interplay of moral
reasoning, self-regulation, and cognitive tension. Adequate institutional responses
require the integration of policy, pedagogy, and psychological support through
strengthened guidance and counseling services to reconstruct the epistemic culture
of higher education in the AI era.

Downloads

Download data is not yet available.

References

Al Nabhani, Y., Khan, A., & Sultan, S. (2025). Personalized adaptive learning in higher education: Promises, perspectives, and pedagogy. Journal of Educational Technology, 22(1), 14–29.

Alsharefeen, S., & Al Sayari, H. (2025). Examining academic integrity policy and practice in the era of AI: A case study of faculty perspectives. International Journal for Educational Integrity, 21(1).

Annamalai, N., Rajan, A., & Premarani, K. (2025). Enhancing learning in the UAE: Exploring ChatGPT as a More Knowledgeable Other (MKO) in science and non-science courses. Education and Information Technologies.

Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50(2), 248–287.

Basty, S., Hadid, R., & Klemmer, S. (2025). Exploring higher education faculty insights on generative AI in creative courses. Smart Learning Environments, 12(1).

Bayu Kurniawan, et al. (2025). Penggunaan AI dalam praktik akademik mahasiswa Indonesia: Studi pendahuluan. [Manuscript/Working paper].

Bertram Gallant, T. (2008). Academic integrity in the twenty-first century: A teaching and learning imperative. ASHE Higher Education Report, 33(5).

Chan, C. K. Y. (2025). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 22(1).

Collins, J. (2017). Socratic ethics and the cultivation of intellectual virtue. Philosophy of Education, 73(2), 211–228.

Cutillas, A., Roca, R., & Mendoza, L. (2025). Alternative assessment approaches in the age of generative AI: A scoping review. Assessment & Evaluation in Higher Education, 50(3).

Festinger, L. (1957). A theory of cognitive dissonance. Stanford University Press.

Gallent-Torres, C., Zapata-González, A., & Ortego-Hernando, J. L. (2023). The impact of generative AI in higher education: A panoramic review. Journal of New Approaches in Educational Research, 13(1).

Giuseffi, F. (2021). The Socratic method as a foundation for adaptive learning. Educational Studies, 47(5), 567–583.

Hammond, P., Smith, R., & Cole, J. (2023). The creeping erosion of academic integrity: Generative AI and the rhetoric of academic assistance. Journal of Academic Ethics, 21(3).

Huang, L., Chen, Y., & Liu, J. (2025). Academic cheating with generative AI: Exploring a moral extension of the theory of planned behavior. Computers and Education: Artificial Intelligence, 8.

Jarrah, A. M., Wardat, Y., & Fidalgo, P. (2023). Using ChatGPT in academic writing is (not) a form of plagiarism: What does the literature say? Online Journal of Communication and Media Technologies, 13(4).

Kavadella, A., Dias da Silva, M. A., Kaklamanos, E. G., Stamatopoulos, V., & Giannakopoulos, K. (2024). Evaluation of ChatGPT's real-life implementation in undergraduate dental education: Mixed methods study. JMIR Medical Education, 10.

Khan, A., & Sultan, S. (2024). Adaptive learning technologies in higher education: A systematic review. International Journal of Educational Technology in Higher Education, 21(1).

Kohlberg, L. (1981). The philosophy of moral development: Moral stages and the idea of justice. Harper & Row.

Kotsonis, A., Dunne, G., & Mooney, B. (2021). Socratic dialogue and educational ethics: An enduring partnership. Educational Philosophy and Theory, 53(13), 1305–1316.

Kurshumova, R. (2024). Educators' familiarity with AI applications: A large-scale Bulgarian study. Pedagogika–Pedagogy, 96(7).

Le, B., & Huse, J. (2016). Reorienting LLMs toward Socratic pedagogical functions: Questioning, metacognition, and dialogue. Journal of Computer Assisted Learning, 32(4), 432–446.

Lund, B. D., Wang, T., & Daugherty, D. (2025). AI and academic integrity: Exploring student perceptions and implications for higher education. Journal of Information Ethics, 34(1).

Macfarlane, B., Zhang, J., & Pun, A. (2014). Academic integrity: A review of the literature. Studies in Higher Education, 39(2), 339–358.

McIntire, A., Kobayashi, K., & Mavros, P. (2024). Pressure to plagiarize and the choice to cheat: Toward a pragmatic reframing of the ethics of academic integrity. Higher Education Studies, 14(2), 23–37.

Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and opportunities of generative AI for higher education as explained by ChatGPT. Education Sciences, 13(9), 856.

Miller, W. R., & Rollnick, S. (2013). Motivational interviewing: Helping people change (3rd ed.). Guilford Press.

Mohale, M. T., Mathebula, M., & Mokoena, S. (2025). 'OMG! You used AI' – A critical exploration of linguistic stigmatization in the era of generative artificial intelligence. South African Journal of Higher Education, 39(2).

Moorhouse, B. L., Yeo, M. A., & Wan, Y. (2023). Generative AI tools and assessment: Guidelines of the world's top-ranking universities. Computers and Education Open, 5, 100151.

Nechyporenko, V., Bashkir, O., & Petrenko, S. (2025). University students' use of AI tools: A survey in Ukrainian higher education. Educational Sciences: Theory & Practice, 25(3).

Nelson, R., Cabrera, J., & Hernández, M. (2025). Students' perceptions of generative artificial intelligence (GenAI) use in academic writing in English as a foreign language. Computers and Composition, 73.

Nucci, L., & Narvaez, D. (Eds.). (2008). Handbook of moral and character education. Routledge.

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71.

Perkins, M. (2023). Academic integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching & Learning Practice, 20(2).

Plata, S., De Guzman, M., & Quesada, A. (2023). Emerging research and policy themes on academic integrity in the age of ChatGPT and generative AI. Asian Journal of University Education, 19(4).

Plecerda, A. (2024). Academic integrity surrounding the use of generative AI in higher education: Lenses from ICT college students. International Journal of Research Studies in Education, 13(8).

Radif, M. (2024). Intelligent tutoring systems and self-directed learning. Computers in Human Behavior, 152.

Schneider, J. (2013). Socrates and the wisdom of academic integrity. Educational Theory, 63(4), 379–393.

Serafim, P., Souza, A., & Lima, J. (2025). AI integration in higher education: Cross-disciplinary perspectives. Computers & Education, 218.

Smit, T., Joubert, R., & van Wyk, M. (2025). Ambiguous regulations for dealing with AI in higher education can lead to moral hazards among students. Education and Information Technologies, 30(4).

Stone, A. (2025). Generative AI in higher education: Uncertain students, ambiguous use cases, and mercenary perspectives. Computers and Education Open, 6.

Sun, X., Li, M., & Zhou, Y. (2024). The embedding of AI in student academic life: An international survey. Higher Education Research & Development, 43(7).

Tanharat, P., & Phootirat, K. (2025). Integrating generative AI in EFL academic writing: Thai English-major students' purposes, perceptions, and experiences with ChatGPT. LEARN Journal, 18(1).

Thi Nguyen, T. H., Tran, M. D., & Pham, L. T. (2024). Artificial intelligence (AI) in education: A case study on ChatGPT's influence on student learning behaviors. International Journal of Education and Practice, 12(3).

Tran, T. T. H., Le, T. P., & Nguyen, H. V. (2025). Exploring Vietnamese students' plagiarism awareness and actual practices through using of ChatGPT as a learning tool. Education and Information Technologies.

Tzanoulinou, S., Papadimitriou, F., & Argyropoulou, A. (2025). Large language models as Socratic interlocutors: Pedagogical reorientation in higher education. AI & Society.

Villarino, R. T. (2025). Artificial Intelligence (AI) integration in rural Philippine higher education: Perspectives, challenges, and ethical considerations. Cogent Education, 12(1).

Williams, A. (2023). The ethical implications of using generative chatbots in higher education. Frontiers in Education, 8.

Zemtsov, A., & Gruzdev, I. (2025). 'Digital centaur': Human-AI collaborative learning in universities. Tertiary Education and Management, 31(2).

Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–39). Academic Press.

Downloads

Published

2026-07-13