Among novice programmers using AI code generators, trust did not predict compliance with suggestions, while performance correlated with both compliance and increased subsequent trust.
Tyne Crow, Andrew Luxton-Reilly, and Burkhard Wuensche
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3verdicts
UNVERDICTED 3representative citing papers
Introductory programming students apply algorithmic thinking, abstraction, and decomposition when solving Bebras tasks, with these skills linked to correct answers, but struggle with systematic planning and explanation.
SCRIPT is an adaptable intelligent tutoring system for Python that supports plug-in hint mechanisms including LLMs and operates within Germany's strict data privacy and AI ethics rules.
citing papers explorer
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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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The Use of Computational Thinking Skills, Difficulties, and Strategies of Introductory Programming Students Solving Bebras Tasks
Introductory programming students apply algorithmic thinking, abstraction, and decomposition when solving Bebras tasks, with these skills linked to correct answers, but struggle with systematic planning and explanation.
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SCRIPT: Implementing an Intelligent Tutoring System for Programming in a German University Context
SCRIPT is an adaptable intelligent tutoring system for Python that supports plug-in hint mechanisms including LLMs and operates within Germany's strict data privacy and AI ethics rules.