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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. 267–268
Emanuela Furfaro  

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https://doi.org/10.6339/25-JDS1208B
Pub. online: 11 February 2026      Type: Education In Data Science      Open accessOpen Access

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

Published
11 February 2026

References

 
Bastani H, Bastani O, Sungu A, Ge H, Kabakcı Ö, Mariman R (2024). Generative ai can harm learning. The Wharton School Research Paper.
 
Bayley T, Maclean KD, Weidner T (2024). Back to the future: Implementing large-scale oral exams. Management Teaching Review, 23792981241267744. https://doi.org/10.1177/23792981241267744
 
Chen L, Zaharia M, Zou J (2024). How is chatgpt’s behavior changing over time? Harvard Data Science Review, 6(2). https://doi.org/10.1162/99608f92.5317da47
 
Ellis AR, Slade E (2023). A new era of learning: Considerations for chatgpt as a tool to enhance statistics and data science education. Journal of Statistics and Data Science Education, 31(2): 128–133. https://doi.org/10.1080/26939169.2023.2223609
 
Fenton A (2025). Reconsidering the use of oral exams and assessments: An old way to move into a new future. Educational Researcher, 54(7): 430–436. https://doi.org/10.3102/0013189X251333638
 
Hariyanti F, Budayasa IK, Setianingsih R (2025). The role of ai in enhancing statistical literacy: A systematic review in education. Multidisciplinary Reviews, 8(12): 1–11. https://doi.org/10.31893/multirev.2025376
 
Theobold AS (2021). Oral exams: A more meaningful assessment of students’ understanding. Journal of Statistics and Data Science Education, 29(2): 156–159. https://doi.org/10.1080/26939169.2021.1914527
 
Wang KD, Wu Z, Tufts L, Wieman C, Salehi S, Haber N (2025a). Scaffold or crutch? Examining college students’ use and views of generative ai tools for stem education. In: 2025 IEEE Global Engineering Education Conference (EDUCON), 1–10. IEEE.
 
Wang S, Xu L, Liu J, Zhai Y (2025b). 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

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2026 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.
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Open access article under the CC BY license.

Keywords
homework assignments human-AI collaboration pedagogical adaptation

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