Navigating Artificial Intelligence in Higher Education: Students’ Social Learning Experiences, Ethical Concerns, and Academic Adaptation

Sarifudin Sarifudin; Rifki Ayu Rosmita

doi:10.71094/gjsl.v2i2.429

Authors

Sarifudin Universitas Islam Negeri Mataram, Mataram, Indonesia Author
Rifki Ayu Rosmita Universitas Islam Negeri Mataram, Mataram, Indonesia Author

DOI:

https://doi.org/10.71094/gjsl.v2i2.429

Keywords:

Artificial Intelligence in Higher Education, Generative AI, Social Learning, Academic Integrity, AI Literacy

Abstract

The rapid advancement of Generative Artificial Intelligence (GAI) has triggered significant transformations in higher education by reshaping how students learn, interact, and construct knowledge. This article examines the dynamics of students’ social learning experiences, identifies the ethical challenges associated with the use of generative AI, and explores the forms of academic adaptation emerging within contemporary higher education environments. Employing a systematic literature review approach, the study analyzes 30 key sources, including peer-reviewed journal articles, academic books, and international policy documents addressing AI in higher education. Thematic analysis revealed three major themes: the transformation of social learning practices, ethical dilemmas surrounding AI use, and students’ academic adaptation strategies. The findings suggest that generative AI functions as a new mediating agent in social learning, facilitating a shift from knowledge acquisition toward knowledge co-creation. However, this transformation also raises concerns regarding academic integrity, cognitive dependency, algorithmic bias, and data privacy. In response, students and institutions are developing adaptive strategies through AI literacy initiatives, authentic assessment practices, and human–AI collaborative learning models. This article proposes the Human–AI Academic Adaptation Framework as a conceptual model for understanding the interrelationships among social learning, ethics, and academic adaptation in the age of artificial intelligence.

References

Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152

Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52–62. https://doi.org/10.61969/jai.1337500

Bandura, A. (1977). Social learning theory. Prentice Hall.

Bozkurt, A., Xiao, J., Lambert, S., Pazurek, A., Crompton, H., Koseoglu, S., Farrow, R., Bond, M., Nerantzi, C., Honeychurch, S., Bali, M., Dron, J., Mir, K., Stewart, B., Costello, E., Mason, J., Stracke, C. M., Romero-Hall, E., Koutropoulos, A., … Jandrić, P. (2023). Speculative futures on ChatGPT and generative artificial intelligence (AI): A collective reflection from the educational landscape. Asian Journal of Distance Education, 18(1), 53–130. https://doi.org/10.5281/zenodo.7636568

Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20, Article 38. https://doi.org/10.1186/s41239-023-00408-3

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

Crawford, J., Cowling, M., & Allen, K. A. (2023). Leadership is needed for ethical ChatGPT: Character, assessment, and learning using artificial intelligence (AI). Journal of University Teaching and Learning Practice, 20(3), Article 2. https://doi.org/10.53761/1.20.3.02

Dempere, J., Modugu, K., Hesham, A., & Ramasamy, L. K. (2023). The impact of ChatGPT on higher education. Frontiers in Education, 8, Article 1206936. https://doi.org/10.3389/feduc.2023.1206936

EDUCAUSE. (2024). 2024 EDUCAUSE AI landscape study. EDUCAUSE. https://www.educause.edu/ecar/research-publications/2024/2024-educause-ai-landscape-study

EDUCAUSE. (2024). 2024 EDUCAUSE Horizon Report: Teaching and learning edition. EDUCAUSE. https://library.educause.edu/resources/2024/5/2024-educause-horizon-report-teaching-and-learning-edition

European Commission. (2022). Ethical guidelines on the use of artificial intelligence and data in teaching and learning for educators. Publications Office of the European Union. https://data.europa.eu/doi/10.2766/153756

Farrelly, T., & Baker, N. (2023). Generative artificial intelligence: Implications and considerations for higher education practice. Education Sciences, 13(11), Article 1109. https://doi.org/10.3390/educsci13111109

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, Article 102274. https://doi.org/10.1016/j.lindif.2023.102274

Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge University Press.

Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), Article 410. https://doi.org/10.3390/educsci13040410

Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3313831.3376727

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.

Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000386693

Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, Article 100041. https://doi.org/10.1016/j.caeai.2021.100041

OECD. (2023). OECD digital education outlook 2023: Towards an effective digital education ecosystem. OECD Publishing. https://doi.org/10.1787/c74f03de-en

Perkins, M. (2023). Academic integrity considerations of AI large language models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching and Learning Practice, 20(2), Article 7. https://doi.org/10.53761/1.20.02.07

Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6(1), 342–363. https://doi.org/10.37074/jalt.2023.6.1.9

Sallam, M., Al-Salahat, K., Eid, H., Al-Mahzoum, K., Al-Haidar, A., & Muflih, S. M. (2024). ChatGPT usage and attitudes are driven by perceptions of usefulness, ease of use, risks, and psycho-social impact: A study among university students in the UAE. Frontiers in Education, 9, Article 1414758. https://doi.org/10.3389/feduc.2024.1414758

Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.

Strzelecki, A. (2024). To use or not to use ChatGPT in higher education? A study of students’ acceptance and use of technology. Interactive Learning Environments, 32(9), 5142–5155. https://doi.org/10.1080/10494820.2023.2209881

Sullivan, M., Kelly, A., & McLaughlan, P. (2023). ChatGPT in higher education: Considerations for academic integrity and student learning. Journal of Applied Learning and Teaching, 6(1), 31–40. https://doi.org/10.37074/jalt.2023.6.1.17

Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10, Article 15. https://doi.org/10.1186/s40561-023-00237-x

UNESCO. (2021). AI and education: Guidance for policy-makers. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000376709

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. Cambridge University Press.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16, Article 39. https://doi.org/10.1186/s41239-019-0171-0