How to Design and Deliver Courses for Higher Education in the AI Era: Insights from Exam Data Analysis - Intelligence Collective et Interaction Access content directly
Preprints, Working Papers, ... Year : 2023

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

Comment concevoir et dispenser des cours pour l'enseignement supérieur à l'ère de l'IA : aperçus de l'analyse des données d'examens

Abstract

In this position paper, we advocate for the idea that courses and exams in the AI era have to be designed based on two factors: (1) the strengths and limitations of AI, and (2) the pedagogical educational objectives. Based on insights from the Delors report on education [1], we first address the role of education and recall the main objectives that educational institutes must strive to achieve independently of any technology. We then explore the strengths and limitations of AI, based on current advances in AI. We explain how courses and exams can be designed based on these strengths and limitations of AI, providing different examples in the IT, English, and Art domains. We show how we adopted a pedagogical approach that is inspired from the Socratic teaching method from January 2023 to May 2023. Then, we present the data analysis results of seven ChatGPT-authorized exams conducted between December 2022 and March 2023. Our exam data results show that there is no correlation between students' grades and whether or not they use ChatGPT to answer their exam questions. Finally, we present a new exam system that allows us to apply our pedagogical approach in the AI era.
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Dates and versions

hal-04168693 , version 1 (21-07-2023)
hal-04168693 , version 2 (25-07-2023)

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  • HAL Id : hal-04168693 , version 2

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Ahmad Samer Wazan, Imran Taj, Abdulhadi Shoufan, Romain Laborde, Rémi Venant. How to Design and Deliver Courses for Higher Education in the AI Era: Insights from Exam Data Analysis. 2023. ⟨hal-04168693v2⟩
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