Article
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ChatGPT for Education and Research: Opportunities, Threats, and Strategies
Version 1
: Received: 27 March 2023 / Approved: 28 March 2023 / Online: 28 March 2023 (04:14:47 CEST)
A peer-reviewed article of this Preprint also exists.
Rahman, M.M.; Watanobe, Y. ChatGPT for Education and Research: Opportunities, Threats, and Strategies. Appl. Sci. 2023, 13, 5783. Rahman, M.M.; Watanobe, Y. ChatGPT for Education and Research: Opportunities, Threats, and Strategies. Appl. Sci. 2023, 13, 5783.
Abstract
In recent years, the rise of advanced artificial intelligence technologies has had a profound impact on many fields, including education and research. One such technology is ChatGPT, a powerful large language model developed by OpenAI. This technology offers exciting opportunities for students and educators, including personalized feedback, increased accessibility, interactive conversations, lesson preparation, evaluation, and new ways to teach complex concepts. However, ChatGPT poses different threats to the traditional education and research system, including the possibility of cheating on online exams, human-like text generation, diminished critical thinking skills, and difficulties in evaluating information generated by ChatGPT. This study explores potential opportunities and threats that ChatGPT poses to overall education from the perspective of students and educators. Furthermore, for programming learning, we explore how ChatGPT helps students improve their programming skills. To demonstrate this, we conducted different coding-related experiments with ChatGPT, including code generation from problem descriptions, pseudocode generation of algorithms from texts, and code correction. We also verified the generated codes with an online judge system to evaluate their accuracy.
Keywords
ChatGPT; educational technology; research; programming education; large language model; GPT-3; artificial intelligence
Subject
Social Sciences, Education
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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