RECAP captures, replays, and analyzes AI-assisted programming sessions by linking prompts, edits, and developer actions in a single timeline.
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4 Pith papers cite this work. Polarity classification is still indexing.
years
2026 4verdicts
UNVERDICTED 4representative citing papers
The authors report that an AI-assisted harness enabled weekly closed-book tests to replace lectures in one small upper-level course while preserving student accountability, based on survey data from 18 students and project git history.
Oral code reviews and flipped classrooms in introductory CS maintain exam performance while allowing increased AI use in coding assignments.
LLMs achieve Pearson correlations up to 0.97 and 94% classification accuracy on product desirability sentiment from qualitative data, outperforming lexicon and transformer baselines while providing confidence ratings and rationales.
citing papers explorer
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RECAP: An End-to-End Platform for Capturing, Replaying, and Analyzing AI-Assisted Programming Interactions
RECAP captures, replays, and analyzes AI-assisted programming sessions by linking prompts, edits, and developer actions in a single timeline.
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Test-Driven, AI-Assisted Learning: Replacing Lectures with Weekly Closed-Book Tests
The authors report that an AI-assisted harness enabled weekly closed-book tests to replace lectures in one small upper-level course while preserving student accountability, based on survey data from 18 students and project git history.
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Combating Harms of Generative AI in CS1 with Code Review Interviews and a Flipped Classroom
Oral code reviews and flipped classrooms in introductory CS maintain exam performance while allowing increased AI use in coding assignments.
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Evaluating LLM Usage for Efficient and Explainable Numerical and Classified Implicit Sentiment Analysis of Product Desirability
LLMs achieve Pearson correlations up to 0.97 and 94% classification accuracy on product desirability sentiment from qualitative data, outperforming lexicon and transformer baselines while providing confidence ratings and rationales.