Articles | Open Access |

EXPLORING POLICIES AND GUIDELINES FOR THE USE OF GENERATIVE AI IN TEACHING, LEARNING, RESEARCH, AND ADMINISTRATION IN HIGHER EDUCATION

Dr. Emily Mitchell , Prof. Daniel Harrison, Educators at Department of Educational Technology, New York Institute of Technology

Abstract

The integration of generative artificial intelligence (AI) into higher education has the potential to revolutionize teaching, learning, research, and administration. However, the rapid adoption of AI technologies raises significant concerns related to academic integrity, ethics, equity, and transparency. This article investigates the current guidelines and policies developed by higher education institutions (HEIs) regarding the use of generative AI in various academic and administrative contexts. Through a qualitative analysis of institutional documents and interviews with academic staff and administrators, the study identifies key themes and challenges in the implementation of AI tools. The findings highlight the importance of balancing innovation with academic integrity, promoting AI literacy, and addressing issues of bias and accountability. It also emphasizes the need for standardized and scalable policies that align AI use with institutional values and educational objectives. Ultimately, the article provides recommendations for HEIs to develop comprehensive, forward-thinking policies that enable the responsible and effective use of generative AI.

Keywords

Generative AI, higher education institutions, academic integrity

References

Adıgüzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), 4ep429. https://doi.org/10.30935/cedtech/13152

Baeza-Yates, R., & Fayyad, U. (2024). Responsible AI: An urgent mandate. IEEE Intelligent Systems. https://doi.org/10.1109/MIS.2023.3343488

Bahroun, Z., Anane, C., Ahmed, V., & Zacca, A. (2023). Transforming education: A comprehensive review of generative artificial intelligence in educational settings through bibliometric and content analysis. Sustainability, 15(17), 12983. https://doi.org/10.3390/su151712983

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

Chan, C. K. Y., & Lee, K. K. W. (2023). The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers? Smart Learning Environments, 10, 60. https://doi.org/10.1186/s40561-023-00269-3

Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2023). 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

Dalalah, D., & Dalalah, O. M. A. (2023). The false positives and false negatives of generative AI detection tools in education and academic research: The case of ChatGPT. The International Journal of Management Education, 21(2), 100822. https://doi.org/10.1016/j.ijme.2023.100822

Darvishi, A., Khosravi, H., Sadiq, S., Gašević, D., & Siemens, G. (2023). Impact of AI assistance on student agency. Computers & Education, 210, 104967. https://doi.org/10.1016/j.compedu.2023.104967

Ghimire, A., & Edwards, J. (2024). From guidelines to governance: A study of AI policies in education. arXiv:2403.15601. https://doi.org/10.48550/arXiv.2403.15601

Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Buckingham Shum, S., Santos, O. C., Rodrigo, M. T., Cukurova, M., Bittencourt, I. I., & Koedinger, K. R. (2022). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-021-00239-1

Hwang, G.-J., & Chen, N.-S. (2023). Editorial position paper: Exploring the potential of generative artificial intelligence in education: Applications, challenges, and future research directions. Educational Technology & Society. https://doi.org/10.30191/ETS.202304_26(2).0014

Jin, Y., Yan, L., Echeverria, V., Gašević, D., Martinez-Maldonado, R. (2024). Generative AI in higher education: A global perspective of institutional adoption policies and guidelines. arXiv:2405.11800v1. https://doi.org/10.48550/arXiv.2405.11800

Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal. https://doi.org/10.1177/00336882231162868

Liu, Y., Du, F., Sun, J., & Jiang, Y. (2020). iLDA: An interactive Latent Dirichlet Allocation model to improve topic quality. Journal of Information Science, 46(1), 23–40. https://doi.org/10.1177/0165551518822455

Lodge, J. M., Thompson, K., & Corrin, L. (2023). Mapping out a research agenda for generative artificial intelligence in tertiary education. Australasian Journal of Educational Technology, 39(1), 1–8. https://doi.org/10.14742/ajet.8695

Luo, J. (2024). A critical review of GenAI policies in higher education assessment: A call to reconsider the “originality” of students’ work. Assessment & Evaluation in Higher Education. https://doi.org/10.1080/02602938.2024.2309963

McDonald, N., Johri, A., Ali, A., & Hingle, A. (2024). Generative artificial intelligence in higher education: Evidence from an analysis of institutional policies and guidelines. arXiv:2402.01659. https://doi.org/10.48550/arXiv.2402.01659

Miles, M.B., Huberman, A.M., & Saldana, J. (2014). Qualitative data analysis: A methods sourcebook (3rd ed.) Sage.

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. https://doi.org/10.1016/j.caeo.2023.100151

Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B. P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28, 4221–4241. https://doi.org/10.1007/s10639-022-11316-w

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EXPLORING POLICIES AND GUIDELINES FOR THE USE OF GENERATIVE AI IN TEACHING, LEARNING, RESEARCH, AND ADMINISTRATION IN HIGHER EDUCATION. (2025). International Journal of Education Technology, 5(02), 1-7. https://www.academicpublishers.org/journals/index.php/ijet/article/view/3140