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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. 269–271
Xiaoming Huo   Xuelei Sherry Ni  

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https://doi.org/10.6339/25-JDS1208F
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

 
El Khoury E (2025, October 6). Two years of generative artificial intelligence in higher education: The seven waves of assessment and GenAI. The Assessment Review (CUNY), 6(1). https://assessatcuny.commons.gc.cuny.edu/2025/10/two-years-of-generative-artificial-intelligence-in-higher-education-the-seven-waves-of-assessment-and-genai/.
 
Freeman J (2025). Student Generative AI Survey 2025 (HEPI Policy Note 61). Higher Education Policy Institute / Kortext. Retrieved from https://www.hepi.ac.uk/reports/student-generative-ai-survey-2025/.
 
Hu X (2025, October 14). Assessment in the AI era: Grade the thinking, not just the text. University of Arizona, College of Information Science. Retrieved from the InfoSci “Thought Leadership” series. https://infosci.arizona.edu/news/assessment-in-the-ai-era.
 
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

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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
AI auditing assessment redesign GenAI/ChatGPT model diagnostics

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