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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CobWeb is a research prototype that visualizes estimated user bias in fact-checking, with a study reporting that 80% of users found the bias indicator useful for judging claim veracity.
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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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CobWeb: A Research Prototype for Exploring User Bias in Political Fact-Checking
CobWeb is a research prototype that visualizes estimated user bias in fact-checking, with a study reporting that 80% of users found the bias indicator useful for judging claim veracity.