1 citations · 1 across the 9 of their papers we have counts for
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Large Language Models as Students Who Think Aloud: Overly Coherent, Verbose, and Confident
Conrad Borchers, Jill-Jênn Vie, Roger Azevedo
Large language models (LLMs) are increasingly embedded in AI-based tutoring systems. Can they faithfully model novice reasoning and metacognitive judgments? Existing evaluations em…
Understanding Teacher Revisions of Large Language Model-Generated Feedback
Conrad Borchers, Luiz Rodrigues, Newarney Torrezão da Costa +2
Large language models (LLMs) increasingly generate formative feedback for students, yet little is known about how teachers revise this feedback before it reaches learners. Teachers…
Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding
Conrad Borchers, Jiayi Zhang, Ashish Gurung
Adaptive scaffolding enhances learning, yet the field lacks robust methods for measuring it within authentic tutoring dialogue. This gap has become more pressing with the rise of r…