Investigating Generative AI in Higher Education: A Case Study Co-Designed with ChatGPT

Abstract

The objective of this study is to explore the potential of Generative AI, specifically ChatGPT, in the co-design of higher education curricula. Employing a case study approach, the study scrutinizes the interplay between traditional pedagogical techniques and prompt engineering, a method used to fine-tune the AI model. The study focuses on a case of a Research Methodology unit and utilizes the AI tool GPT-4 to create a curriculum. The outcomes of this study carry significant implications, resulting in the formulation of an innovative "GPT-4 Co-Designed Curriculum Framework." Additionally, the study introduces the "PAKARAMIS Framework" for prompt engineering. These contributions hold the potential for broader application in future curriculum design across various educational units, offering valuable perspectives on the capabilities and limitations of Generative AI in higher education. This research not only contributes to the ongoing discourse surrounding the integration of AI in higher education but also furnishes practical insights that can benefit educators and policymakers as they navigate the evolving landscape of educational technology.

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