Discussion of “Addressing the Challenges of AI-Generated Assignment Submissions in Education: Insights and Strategies”✩
Volume 24, Issue 1 (2026): Special Issue: Statistical aspects of Trustworthy Machine Learning, pp. 264–266
Pub. online: 11 February 2026
Type: Education In Data Science
Open Access
Open Access
✩
Main article: https://doi.org/10.6339/25-JDS1208.
Published
11 February 2026
11 February 2026
References
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Russo D (2024). Navigating the complexity of generative AI adoption in software engineering. ACM Transactions on Software Engineering and Methodology, 33(5): 1–50. https://doi.org/10.1145/3652154
Wang S, Xu L, Liu J, Zhai Y (2025). Addressing the challenges of AI-generated assignment submissions in education: Insights and strategies. Journal of Data Science, 24(1): 1–7. https://doi.org/10.6339/25-JDS1208
Weber-Wulff D, Anohina-Naumeca A, Bjelobaba S, Foltýnek T, Guerrero-Dib J, Popoola O, et al. (2023). Testing of detection tools for AI-generated text. International Journal for Educational Integrity, 19(26). https://doi.org/10.1007/s40979-023-00146-z
