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Improving Remote Examination Formats: Addressing Challenges and Providing Recommendations for University Educators in the Age of ChatGPT
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division Vi3.ORCID iD: 0000-0001-6947-9409
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division Vi3.ORCID iD: 0000-0003-0732-7009
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Education Research. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division Vi3. Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media.ORCID iD: 0000-0001-7472-2215
2024 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

The availability of Large Language Models (LLM), such as the widely accessible ChatGPT, has raised concerns regarding the reliability of assessment formats in university education. This presentation sheds light on the potential impact of ChatGPT on existing remote examination formats and offers recommendations to overcome associated challenges. Through interviews with three computer science educators and an analysis of insights from blog posts, social media platforms, and academic forums, we gathered diverse opinions and experiences related to ChatGPT's impact on university assessment formats. Our findings reveal challenges, particularly in cheating prevention, prompting the need for educators to adapt their teaching methods to this evolving landscape. While GPT performs well in answering open-ended questions, it struggles with calculations and problem-solving, with multiple-choice questions posing additional challenges. Incorporating interactive activities and oral examinations should be prioritized in this context. As ChatGPT gains traction, institutions must address concerns to maintain academic integrity.

Place, publisher, year, edition, pages
2024.
Keywords [en]
Large language models, LLM, ChatGPT, GPT, assessment formats
National Category
Educational Sciences
Identifiers
URN: urn:nbn:se:uu:diva-527781OAI: oai:DiVA.org:uu-527781DiVA, id: diva2:1856838
Conference
Teknisk-naturvetenskapliga Fakultetens Universitetspedagogiska Konferens (TUK)
Available from: 2024-05-08 Created: 2024-05-08 Last updated: 2024-05-08

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Ahmad, AwaisPremanandan, ShwetaCajander, Åsa

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Computerized Image Analysis and Human-Computer InteractionDivision Vi3Department of Informatics and MediaComputing Education Research
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