Technology-Enhanced Learning and Human-Computer Interaction
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Warning About AI Fallibility Increases Help-Seeking in an Intelligent Tutoring System
arXiv:2606.03822v1 Announce Type: new Abstract: Recent work in Technology-Enhanced Learning and Human-Computer Interaction highlights the importance of transparency and trust calibration in AI-supported learning environments as they pose a risk of hallucinations. In this study, we investigate whether a simple transparency intervention that warns students that a pedagogical agent may make mistakes affects learner behavior in a math intelligent tutoring system. We conducted a classroom...