Abstract
Student reliance on Large Language Model systems like ChatGPT, to assist with their assignments, has become the norm over the last few years. Educators have applied different strategies to deal with their use. One common method is to threaten academic misconduct if submitted work is not authentic. Another technique uses a rigorous assessment model that ensures students meet the curricular outcomes of the course. To demand students avoid using these modern tools seems impractical and deprives them of an important resource that can assist in their learning. Although a thorough assessment model may give guidance to students in how to properly use these systems, as it reinforces that they must know the material they submit, it ignores how these systems could help students develop a more in-depth understanding of the material if integrated directly into the curriculum. In this preliminary work we look at how the use of non-trivial assignments could benefit from encouraging students to use these systems and how to potentially scaffold the work to create an optimal learning experience.
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CITATION STYLE
Jonas, M., & Palnati, H. R. (2025). Integrating Large Language Model AI into the Classroom - Helping Students Solve Complex Problems. In ACM SIGCITE 2025 - Proceedings of the 26th ACM Annual Conference on Cybersecurity and Information Technology Education (pp. 294–295). Association for Computing Machinery, Inc. https://doi.org/10.1145/3769694.3771137
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