Montreal, Quebec, Canada
June 22, 2025
June 22, 2025
August 15, 2025
Computers in Education Division (COED)
Diversity
11
https://peer.asee.org/56769
Dr. Gehringer is a professor in the Departments of Computer Science, and Electrical & Computer Engineering. His research interests include data mining to improve software-engineering practice, and improving assessment through machine learning and natural language processing.
Dual-submission homework approaches were developed as a way to foster reflectiveness and metacognition in students while discouraging academic dishonesty. However, the rise of large language models (LLMs) challenges this approach. This paper examines whether LLMs can replicate credible reflections and, consequently, compromise the integrity of the dual-submission approach. Experiments were conducted using reflections generated by students and LLMs, analyzed by instructors and teaching assistants, with mixed results. We discuss implications, limitations of current strategies, and potential modifications to maintain academic integrity in an era of LLMs.
Gehringer, E. F., & Dixit, M., & Joshi, K. L. (2025, June), In the Age of LLMs, Is Dual-Submission Homework Dead? Paper presented at 2025 ASEE Annual Conference & Exposition , Montreal, Quebec, Canada . https://peer.asee.org/56769
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