Tag Archives: Socio-emotional learning

INT: Collaborative Research: Detecting, Predicting and Remediating Student Affect and Grit Using Computer Vision

9/1/16-8/31/20 PIs: Beverly Woolf, Thomas Murray, University of Massachusetts Amherst (Award Details) Ivon Arroyo, Worcester Polytechnic Institute (Award Details) Margrit Betke, Stan Sclaroff, Boston University (Award Details) John Magee, Rutgers University New Brunswick (Award Details) This INT project integrates prior work from two well-developed NSF-sponsored projects on (i) advanced computer vision and (ii) affect detection […]

DIP: Collaborative Research: Impact of Adaptive Interventions on Student Affect, Performance, and Learning

PIs: Ivon Arroyo, Worcester Polytechnic Institute (Award Details) A. Lynn Stephens, Beverly Woolf, Robert Maloy, U. Mass Amherst (Award Details) Winslow Burleson, Kasia Muldner, Arizona State University (Award Details) A major factor influencing learning is students’ emotions and their general affective state. Given the pivotal role that affect plays in learning activities it is not […]

DIP: BioSourcing: A Crowdsourcing Approach to Increasing Public Understanding in Computational Biosciences

PIs: Kurt Squire, Michael Ferris, Enid Montague, Bilge Mutlu, Benjamin Shapiro University of Wisconsin-Madison Award Details This project explores the hypothesis that compelling learning games based on contemporary science that offer opportunities to contribute to scientific inquiry will lead to increased interest in science, increased career choice of science, increased conceptual understanding of science content, […]