Experiences from Integrating Large Language Model Chatbots into the Classroom
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Abstract (arXiv)
In the present study, we provided students an unfiltered access to a state-of-the-art large language model (LLM) chatbot. The chatbot was intentionally designed to mimic proprietary commercial chatbots such as ChatGPT where the chatbot has not been tailored for the educational context; the underlying engine was OpenAI GPT-4. The chatbot was integrated into online learning materials of three courses. One of the courses focused on software engineering with LLMs, while the two other courses were not directly related to LLMs. Our results suggest that only a minority of students engage with the chatbot in the courses that do not relate to LLMs. At the same time, unsurprisingly, nearly all students in the LLM-focused course leveraged the chatbot. In all courses, the majority of the LLM usage came from a few superusers, whereas the majority of the students did not heavily use the chatbot even though it was readily available and effectively provided a free access to the OpenAI GPT-4 model. We also observe that in addition to students using the chatbot for course-specific purposes, many use the chatbot for their own purposes. These results suggest that the worst fears of educators -- all students overrelying on LLMs -- did not materialize even when the chatbot access was unfiltered. We finally discuss potential reasons for the low usage, suggesting the need for more tailored and scaffolded LLM experiences targeted for specific types of student use cases.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Jun 2024.
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Citing papers per year: 2024: 3; 2025: 1.
4 papers.
- 2024Evaluating Language Models for Generating and Judging Programming Feedbackcited by 8
- 2024Students' Perceptions and Use of Generative AI Tools for Programming Across Different Computing Coursescited by 6
- 2024Comparing the Utility, Preference, and Performance of Course Material Search Functionality and Retrieval-Augmented Generation Large Language Model (RAG-LLM) AI Chatbots in Information-Seeking Taskscited by 0
- 2025LLM Chatbot-Creation Approachescited by 0
- 2025LLM Chatbot-Creation Approaches28 Aug 2025
- 2024Comparing the Utility, Preference, and Performance of Course Material Search Functionality and Retrieval-Augmented Generation Large Language Model (RAG-LLM) AI Chatbots in Information-Seeking Tasks17 Oct 2024
- 2024Students' Perceptions and Use of Generative AI Tools for Programming Across Different Computing Courses9 Oct 2024
- 2024Evaluating Language Models for Generating and Judging Programming Feedback5 Jul 2024