Leveraging Affect for Narrative-Centered Guided Discovery Learning Environments

نویسنده

  • Scott W. McQUIGGAN
چکیده

Affective reasoning holds significant potential for intelligent tutoring systems. Incorporating affective reasoning into pedagogical decision-making capabilities could enable learning environments to create customized experiences that are dynamically tailored to individual students’ ever changing levels of engagement, interest, motivation, and self-efficacy. Because physiological responses are directly triggered by changes in affect, biofeedback data such as heart rate and galvanic skin response can be used to infer affective changes in conjunction with the situational context. However, biofeedback hardware is intrusive and cumbersome in deployed applications. This paper explores the importance of self-efficacy in ITSs, motivation in discovery learning approaches, and describes CRYSTAL ISLAND, a prototype narrative-centered guided discovery learning environment. CRYSTAL ISLAND served as a testbed for several studies that suggest it is possible to build models of affective constructs from observations of situational context and student physiological response.

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تاریخ انتشار 2015