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Applied Sciences· 2023Q2

ChatGPT for Education and Research: Opportunities, Threats, and Strategies

Md. Mostafizer Rahman, Yutaka Watanobe

Short summary

ChatGPT offers significant opportunities for education (personalized feedback, lesson prep) and research, but also poses threats like cheating, diminished critical thinking, and challenges in evaluating AI-generated content.

AI-generated from the title and abstract; the full text is not read.

Key points

  • ChatGPT can personalize feedback, aid lesson preparation, and facilitate teaching complex concepts.
  • It assists programming students with code generation from descriptions, pseudocode creation, and code correction.
  • Threats include potential for cheating, generation of human-like text, reduced critical thinking, and challenges in evaluating AI output.

AI-generated from the title and abstract; the full text is not read.

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 the 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. The generated codes are validated with an online judge system to evaluate their accuracy. In addition, we conducted several surveys with students and teachers to find out how ChatGPT supports programming learning and teaching. Finally, we present the survey results and analysis.

The authors' abstract, as published at the source. Applied Sciences, 2023 · DOI ↗

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Field: Health Informatics

Health InformaticsMedicine