Qualitative interview study of 13 students finds AI availability in programming assignments raises perceived costs and lowers motivation for independent effort, while students still prefer learning through struggle.
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4 Pith papers cite this work. Polarity classification is still indexing.
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2026 4verdicts
UNVERDICTED 4roles
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Among novice programmers using AI code generators, trust did not predict compliance with suggestions, while performance correlated with both compliance and increased subsequent trust.
GenAI produced larger self-efficacy gains but noticeably lower learning outcomes than live tutoring, with visualizations underused and GenAI facing barriers on advanced topics.
A classroom evaluation with 45 high school students finds that conversational agents can aid CSP learning by delivering context-appropriate information, comparing general and custom agent approaches for effectiveness and engagement.
citing papers explorer
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"Why Put in This Much Effort?": How AI Availability Shapes Students' Motivation in Introductory Programming
Qualitative interview study of 13 students finds AI availability in programming assignments raises perceived costs and lowers motivation for independent effort, while students still prefer learning through struggle.
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Relationships Between Trust, Compliance, and Performance for Novice Programmers Using AI Code Generation
Among novice programmers using AI code generators, trust did not predict compliance with suggestions, while performance correlated with both compliance and increased subsequent trust.
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Characterization and Effects of CS2 Learning with GenAI, Visualization, and Human Support
GenAI produced larger self-efficacy gains but noticeably lower learning outcomes than live tutoring, with visualizations underused and GenAI facing barriers on advanced topics.
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Investigating Conversational Agents to Support Secondary School Students Learning CSP
A classroom evaluation with 45 high school students finds that conversational agents can aid CSP learning by delivering context-appropriate information, comparing general and custom agent approaches for effectiveness and engagement.