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ChatGPT's Impact on Data Science Students’ Learning Performance: A Systematic Review and Prospects
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Abstract
This paper systematically studies the effect of ChatGPT on the academic performance of data science students. Through the many articles reviewed, ChatGPT has a significant role to play in the field of data science education. Since ChatGPT can provide students with immediate feedback and personalized support, especially in helping with coding, problem-solving, and conceptual understanding, this feature shows great help and potential in improving the learning outcomes of data science education. However, over-reliance on AI tools may negatively affect students' ability to think critically and solve problems independently. We highlight the importance of using ChatGPT in a balanced way, using ChatGPT as an adjunct resource rather than a primary resource, and highlight opportunities for future research into how AI tools affect long-term learning outcomes.
Keywords
ChatGPT, data science education, learning performance, artificial intelligence
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Cite this article
Feng,T. (2024). ChatGPT's Impact on Data Science Students’ Learning Performance: A Systematic Review and Prospects. Journal of Education and Educational Policy Studies,3(1),1-8.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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