JDS Journal of Data Science 1683-86021680-743X1680-743X School of Statistics, Renmin University of China JDS1208H 10.6339/26-JDS1208H Education in Data Science Discussion of “Addressing the Challenges of AI-Generated Assignment Submissions in Education: Insights and Strategies”✩ NicosiaAurélienAurelien.Nicosia@mat.ulaval.ca✩ Département de mathématiques et de statistique, Université Laval, Québec, QC, Canada

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

Email: Aurelien.Nicosia@mat.ulaval.ca. 20261122026241276281 2026 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.2026 Open access article under the CC BY license. AI-assisted assessment contextualized assignments large language models R programming reproducible workflows statistics education References 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 Wickham H, Cheng J, Jacobs A, Aden-Buie G, Schloerke B (2025). ellmer: Chat with Large Language Models. R package. https://CRAN.R-project.org/package=ellmer. https://doi.org/10.32614/CRAN.package.ellmer Nicosia A (2025). contextR: Contextual statistics with large language models. R package, version v0.1.0. Zenodo. https://doi.org/10.5281/zenodo.18010065