JDSJournal of Data Science1683-86021680-743X1680-743XSchool of Statistics, Renmin University of ChinaJDS1208E10.6339/25-JDS1208EEducation in Data ScienceDiscussion of “Addressing the Challenges of AI-Generated Assignment Submissions in Education: Insights and Strategies”✩LouxTravistravis.loux@slu.edu1Department of Epidemiology and Biostatistics, Saint Louis University College for Public Health and Social Justice, St. Louis, Missouri, USA
Main article: https://doi.org/10.6339/25-JDS1208.
Email: travis.loux@slu.edu.202611220262412742752026 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.2026Open access article under the CC BY license.academic integritylearning objectiveslearning outcomesReferencesBertram GallantT, RettingerDA (2025). The Opposite of Cheating: Teaching for Integrity in the Age of AI. Teaching, Engaging, Thriving, Higher Ed. University of Oklahoma Press. https://www.oupress.com/9780806194967/the-opposite-of-cheating/MollickE (2024). Co-Intelligence: Living and Working with AI. Penguin Random House. https://www.penguinrandomhouse.com/books/741805/co-intelligence-by-ethan-mollick/SunM, HanR, JiangB, QiH, SunD, YuanY, HuangJ (2025). A survey on large language model-based agents for statistics and data science. The American Statistician, 0(0): 1–14. https://doi.org/10.1080/00031305.2025.2561140WangS, XuL, LiuL, ZhaiL (2026). 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-JDS1208YeagerD (2024). 10 to 25: The science of motivating young people: A groundbreaking approach to leading the next generation—And making your own life easier. Simon and Schuster. https://www.simonandschuster.com/books/10-to-25/David-Yeager/9781668023884