Students integrate AI into academic writing through three value-oriented configurations: early-stage for learning and exploration, late-stage for quality and refinement, and peripheral for productivity and momentum.
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AI-assisted code review in student projects increased iterative activity and supported code quality discussions while preserving engagement levels across two cohorts.
citing papers explorer
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Co-Writing with AI: An Empirical Study of Diverse Academic Writing Workflows
Students integrate AI into academic writing through three value-oriented configurations: early-stage for learning and exploration, late-stage for quality and refinement, and peripheral for productivity and momentum.
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AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report
AI-assisted code review in student projects increased iterative activity and supported code quality discussions while preserving engagement levels across two cohorts.