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Self-efficacy is crucial for self-regulated learning (SRL), helping learners overcome obstacles and achieve educational goals. This study introduces ALLURE, a multimodal AI platform with an XAI-driven chatbot for teaching Rubik’s Cube solving to enhance self-efficacy. We analyzed interactions of college students using interviews, think-aloud protocols, and observational notes. Preliminary findings show that while XAI-driven chatbots can boost self-efficacy, their effectiveness varies. These results highlight the need for educational chatbots to cater to diverse learning needs. The study provides insights into developing XAI-driven chatbots with transparent, personalized interactions to support self-efficacy and competence in educational settings.

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Designing XAI Chatbots to Enhance Learner Self-efficacy in Education

  • 会议论文

  • 发表日期：

    2025年

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  • Valerie Vera,
  • Jonathan Fu,
  • Matthew J. Irvin

摘要

Self-efficacy is crucial for self-regulated learning (SRL), helping learners overcome obstacles and achieve educational goals. This study introduces ALLURE, a multimodal AI platform with an XAI-driven chatbot for teaching Rubik’s Cube solving to enhance self-efficacy. We analyzed interactions of college students using interviews, think-aloud protocols, and observational notes. Preliminary findings show that while XAI-driven chatbots can boost self-efficacy, their effectiveness varies. These results highlight the need for educational chatbots to cater to diverse learning needs. The study provides insights into developing XAI-driven chatbots with transparent, personalized interactions to support self-efficacy and competence in educational settings.