How to Design and Deliver Courses for Higher Education in the AI Era:\n Insights from Exam Data Analysis

Abstract

In this position paper, we advocate for the idea that courses and exams in\nthe AI era have to be designed based on two factors: (1) the strengths and\nlimitations of AI, and (2) the pedagogical educational objectives. Based on\ninsights from the Delors report on education [1], we first address the role of\neducation and recall the main objectives that educational institutes must\nstrive to achieve independently of any technology. We then explore the\nstrengths and limitations of AI, based on current advances in AI. We explain\nhow courses and exams can be designed based on these strengths and limitations\nof AI, providing different examples in the IT, English, and Art domains. We\nshow how we adopted a pedagogical approach that is inspired from the Socratic\nteaching method from January 2023 to May 2023. Then, we present the data\nanalysis results of seven ChatGPT-authorized exams conducted between December\n2022 and March 2023. Our exam data results show that there is no correlation\nbetween students' grades and whether or not they use ChatGPT to answer their\nexam questions. Finally, we present a new exam system that allows us to apply\nour pedagogical approach in the AI era.\n

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