Emotionally Intelligent Tutoring Systems
Tuesday, November 6, 2012
Schwada Classroom Office Building 152 [map]
It is hard for students to learn if they are feeling very negative about the domain they are learning, the learning task or themselves as learners. Conversely, positive affective and motivational states predict academic success. In this talk, Ivon Arroyo will present past and present work on having Intelligent Adaptive Tutoring Systems become Emotionally Intelligent. This encompasses two steps: modeling and prediction of affective states, and acting upon affective states to maximize affective and cognitive outcomes. Her work regarding modeling and prediction over the past five years has focused on models and classifiers for detection of activating and deactivating emotions and longer-term attitudes, from recent behaviors in the tutoring system and other incoming student features, as well as physiological behaviors captured from sensors. Regarding affective interventions and repair, a current research project is focusing on experimenting with a variety of forms of ”recovery” when students are in negative affective states, from affective pedagogical characters, motivational messages and metacognitive strategies to encourage refection and informed choice.
Ivon Arroyo is a senior research scientist at the Computer Science Department, University of Massachusetts Amherst, and a visiting teaching professor in Learning Technologies at Worcester Polytechnic institute. In her truly interdisciplinary profile, she has carried out top research at the forefront of education, computer science and psychology, co-authoring about 50 research articles at the intersection of the three disciplines.
This lecture is presented by the Affective Meta Tutor project (sponsored by the National Science Foundation)
Please direct any questions to, Sylvia Bargell at: email@example.com.