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61A Bot Report: AI Assistants in CS1 Save Students Homework Time and Reduce Demands on Staff. (Now What?)

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arxiv 2406.05600 v3 pith:X42ARYEZ submitted 2024-06-09 cs.CY

classification cs.CY
keywords studentshomeworkreductionsstudenttimeassistantautogradercode
verification ladder T0 review T1 audit T2 compute T3 formal
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LLM-based chatbots enable students to get immediate, interactive help on homework assignments, but even a thoughtfully-designed bot may not serve all pedagogical goals. We report here on the development and deployment of a GPT-4-based interactive homework assistant ("61A Bot") for students in a large CS1 course; over 2000 students made over 100,000 requests of our Bot across two semesters. Our assistant offers one-shot, contextual feedback within the command-line "autograder" students use to test their code. Our Bot wraps student code in a custom prompt that supports our pedagogical goals and avoids providing solutions directly. Analyzing student feedback, questions, and autograder data, we find reductions in homework-related question rates in our course forum, as well as reductions in homework completion time when our Bot is available. For students in the 50th-80th percentile, reductions can exceed 30 minutes per assignment, up to 50% less time than students at the same percentile rank in prior semesters. Finally, we discuss these observations, potential impacts on student learning, and other potential costs and benefits of AI assistance in CS1.

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  1. Oversight in Action: Experiences with Instructor-Moderated LLM Responses in an Online Discussion Forum

    cs.CY 2024-12 conditional novelty 5.0 of 10

    An instructor-moderated LLM bot for discussion forums reduced self-reported instructor workload in one course, but the evaluation lacks student feedback and a workload baseline.

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