Behavioral signals from how students use AI tutor feedback in 10k code submissions reveal differences between tutors and correlate more strongly with perceived helpfulness than pedagogical quality alone.
In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2024)
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The Missing Evaluation Axis: What 10,000 Student Submissions Reveal About AI Tutor Effectiveness
Behavioral signals from how students use AI tutor feedback in 10k code submissions reveal differences between tutors and correlate more strongly with perceived helpfulness than pedagogical quality alone.