Discussion of “Addressing the Challenges of AI-Generated Assignment Submissions in Education: Insights and Strategies”

Chan, Stephanie L.; Pua, Andrew Adrian Y.

doi:10.6339/25-JDS1208C

Journal of Data Science

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. 261–263

Stephanie L. Chan Andrew Adrian Y. Pua

https://doi.org/10.6339/25-JDS1208C

Pub. online: 11 February 2026 Type: Education In Data Science

Open Access

^✩ Main article: https://doi.org/10.6339/25-JDS1208.

Published
11 February 2026

References

Farrell H, Gopnik A, Shalizi C, Evans J (2025). Large AI models are cultural and social technologies. Science, 387(6739): 1153–1156. https://doi.org/10.1126/science.adt9819

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

2026 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.

Open access article under the CC BY license.

Keywords

academic integrity assessment ChatGPT generative AI in education higher education learning

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