The paper proposes the Co-PALE framework connecting educational context, responsible AI principles, and perception categories to guide adoption decisions for LLM-based educational tools.
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In a randomized experiment with 97 graduate students, deferred AI assistance produced the highest-quality hints and helped students spot more code mistakes than independent writing or immediate AI help.
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"Would You Want an AI Tutor?" Understanding Stakeholder Perceptions of LLM-based Systems in the Classroom
The paper proposes the Co-PALE framework connecting educational context, responsible AI principles, and perception categories to guide adoption decisions for LLM-based educational tools.
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Hint-Writing with Deferred AI Assistance: Fostering Critical Engagement in Data Science Education
In a randomized experiment with 97 graduate students, deferred AI assistance produced the highest-quality hints and helped students spot more code mistakes than independent writing or immediate AI help.