To Tab or Not to Tab: Measuring Critical Engagement in AI Code Completion Tools Using Behavioral Signals and Attention Checks
AI code completion tools, such as Github Copilot, provide students with code suggestions to help them write programs. However, recent qualitative studies suggest that students fail to critically evaluate these suggestions. We present Clover, a code completion tool that logs students' interactions with code suggestions and additionally offers attention checks to probe reflective engagement during programming tasks. We also develop a taxonomy of behavioral interaction metrics for AI-assisted programming, informed by literature. We analyzed relationships between interaction patterns, engagement w
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- LinkedLinked via unknownReflections on Software Engineering in the Age of AI →
- LinkedLinked via unknownHow Preply combines AI and human tutors to personalize learning →
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- PossiblePossibly related (embedding) · 48%wanshuiyin/Auto-claude-code-research-in-sleep →
- PossiblePossibly related (embedding) · 51%mm7894215/TokenTracker →
- PossiblePossibly related (embedding) · 54%Ikalus1988/MisakaNet →
- PossiblePossibly related (embedding) · 50%terrylica/cc-skills →
- PossiblePossibly related (embedding) · 47%Better tools made Copilot code review worse. Here’s how we actually improved it. →
