Fully aligned instructional videos for physical tasks yield 11.1% better completion quality and 15.5% faster times, with four decomposable visual attributes whose isolated misalignments degrade performance without users noticing.
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cs.HC 2years
2026 2representative citing papers
Conditioning generative models on pattern-based knowledge components extracted from student code via AST analysis produces worked examples with better topical focus and relevance to logical errors than unconditioned baselines.
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Substantial, Decomposable, and Invisible: Visual Context Misalignment in Instructional Videos for Physical Tasks
Fully aligned instructional videos for physical tasks yield 11.1% better completion quality and 15.5% faster times, with four decomposable visual attributes whose isolated misalignments degrade performance without users noticing.
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Personalized Worked Example Generation from Student Code Submissions Using Pattern-based Knowledge Components
Conditioning generative models on pattern-based knowledge components extracted from student code via AST analysis produces worked examples with better topical focus and relevance to logical errors than unconditioned baselines.