Search

A Framework for the Creative Utilization of Generative AI in Higher Education Teaching and Strategies for Associated Risk Mitigation

Author(s)

Yulin Yin*

Affiliation(s)

School of Finance, Shandong Technology and Business University, Yantai, Shandong, China *Corresponding Author

Abstract

Against the backdrop of the deepening digital transformation of education, generative AI is injecting new momentum into the reform of higher education instruction, with its powerful capabilities in content generation, personalized adaptation, and interactive feedback. However, current applications of generative AI in universities largely remain at a superficial, instrumental level, lacking a systematic logic for "creative use." This is accompanied by multiple risks, including academic integrity breaches, technological dependence, and data security concerns. Grounded in the Outcome-Based Education (OBE) philosophy and constructivist teaching theory, and considering the characteristics of higher education teaching practices, it defines the core connotations and value dimensions of the "creative use" of generative AI in university instruction. This paper establishes a four dimensional framework integrating "goal orientation, content innovation, implementation pathways, and support mechanisms," it identifies the core risks within the application process and proposes targeted mitigation strategies, offering theoretical support and practical references for universities to standardize and efficiently utilize generative AI to optimize teaching processes and enhance instructional quality.

Keywords

Generative AI; Higher Education Instruction; Creative Use; Framework Construction; Risk Mitigation

References

[1] Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. Systematic review of research on artificial intelligence applications in higher education–where are the educators? International journal of educational technology in higher education, 2019, 16(1), 39. [2] Bond, M., Khosravi, H., De Laat, M., et al. A meta systematic review of artificial intelligence in higher education: A call for increased ethics, collaboration, and rigour. International journal of educational technology in higher education, 2024, 21(1): 4. [3] Yogesh, K., Kshetri, N., Hughes, L., et al. "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 2023, 71(c): 102642. [4] Mittal, U., Sai, S., Chamola, V., & Sangwan, D. A comprehensive review on generative AI for education. Ieee Access, 2024, 12, 142733-142759. [5] Su J, Yang W. Unlocking the power of ChatGPT: A framework for applying generative AI in education. ECNU Review of Education, 2023, 6(3): 355-366. [6] Creely, E., & Blannin, J. Creative partnerships with generative AI. Possibilities for education and beyond. Thinking Skills and Creativity, 2025, 56, 101727. [7] Spady, W.D. Outcome-Based Education: Critical Issues and Answers. American Association of School Administrators, Arlington, 1994. [8] Vygotsky, L. S. Mind in society: The development of higher psychological processes. Harvard university press, 1978, 78. [9] Davis, F. D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 1989, 13(3), 319-340. [10] Bearman, M., Ryan, J., & Ajjawi, R. Discourses of artificial intelligence in higher education: A critical literature review. Higher Education, 2023, 86(2), 369-385. [11] McDonald, N., Johri, A., Ali, A., & Collier, A. H. Generative artificial intelligence in higher education: Evidence from an analysis of institutional policies and guidelines. Computers in Human Behavior: Artificial Humans, 2025, 3, 100121. [12] Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world. Educational technology research and development, 2023, 71(1), 137-161. [13] Chan, C. K. Y., & Hu, W. Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International journal of educational technology in higher education, 2023, 20(1), 43. [14] Cotton, D. R., Cotton, P. A., & Shipway, J. R. Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in education and teaching international, 2024, 61(2), 228-239. [15] Luckin, R., Cukurova, M., Kent, C., & Du Boulay, B. Empowering educators to be AI-ready. Computers and education: artificial intelligence, 2022, 3, 100076. [16] García-Martínez, I., Fernández-Batanero, J. M., Fernández-Cerero, J., & León, S. P. Analysing the impact of artificial intelligence and computational sciences on student performance: Systematic review and meta-analysis. Journal of New Approaches in Educational Research, 2023, 12(1), 171-197. [17] Hashmi, N., Bal, A. S. Generative AI in higher education and beyond. Business Horizons, 2024, 67(5), 607-614.