Previous studies in the area of computer education have found an influence of emotions on learning with intelligent tutors. However, an important issue is the ability to understand and regulate one's own emotions during learning. This talk will address the emotional dynamics that high school students present when learning mathematics with an intelligent tutor. The results suggest that students with emotional recognition and self-regulation abilities have better learning outcomes. Results also suggest that these students spend more time in negative emotions but are able to transition to positive states more easily. In summary, the results suggest that it is important to implement mechanisms in intelligent tutors capable of offering emotional regulation strategies to high school students who are not meta affective.
Dr. Genaro Rebolledo Méndez is Research Professor at the Institute for the Future of Education (IFE) of Tecnologico de Monterrey. His research area focuses on learning and emotions, with the aim of implementing artificial intelligence strategies capable of recognizing emotions during learning. His goal is to design tools to enhance computer-mediated learning, especially with smart tutors.
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