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Session Type: Symposium
Emotions are a critical component of effective learning and problem solving with computer-based learning environments (CBLEs). There has been a recent surge in interdisciplinary research, which has led to a plethora of new tools and technologies to measure emotions. However, these new opportunities have also lead to a variety of conceptual, theoretical, methodological and measurement issues that need to be resolved before educational prescriptions can be reliably and validly used to improve emotions and learning with CBLEs. This symposium brings together an interdisciplinary group of researchers who analyze multiple channels of affective data using different approaches. This session will provide a venue for them to share their cutting-edge approaches and help advance educational researchers’ methods for examining emotions.
Automatic Monitoring of Emotions During Learning: From the Research Lab to the School Computer Lab - Sidney K. D'Mello, University of Notre Dame; Arthur C. Graesser, The University of Memphis
Affect Modeling in Multimodal Tutorial Dialogue With Hidden Markov Models - Joseph Grafsgaard, North Carolina State University; Kristy Boyer, North Carolina State University; Eric N. Wiebe, North Carolina State University; James Lester, North Carolina State University
Studying Student Affect in Computer-Based Learning Environments With Field Observations and Log Files - Ryan Baker, Teachers College, Columbia University; Sujith M. Gowda, Worcester Polytechnic Institute; Jaclyn Ocumpaugh, Worcester Polytechnic Institute; Supreeth M. Gowda, Worcester Polytechnic Institute; Maria San Pedro, Teachers College, Columbia University
A Multicomponential Analysis of Emotions During Complex Learning With an Intelligent Multiagent System - Jason Matthew Harley, McGill University; François Bouchet, McGill University; Mohammed Sazzad Hussain, The University of Sydney; Roger Azevedo, North Carolina State University; Rafael Calvo, University of Sydney