Tag Archives: Social emotional learning

Collaborative Research: Student Affect Detection and Intervention with Teachers in the Loop

9/1/19-8/31/22 PIs: Shiting Lan, University of Massachusetts Amherst (Award Details) Neil Heffernan, Worcester Polytechnic Institute (Award Details) Ryan Baker, University of Pennsylvania (Award Details) In recent years, there has been increasing effort to integrate modern artificial intelligence technologies into adaptive learning systems to enhance student learning. One key emerging area is in the use of […]

Collaborative Research: Multimodal Affective Pedagogical Agents for Different Types of Learners

8/1/18-7/31/21 PIs: Nicoletta Adamo-Villani, Purdue University (Award Details) Richard Mayer, University of California-Santa Barbara (Award Details) While most research on embodied pedagogical agents (adaptive virtual agents that guide and mentor learners) explores cognitive features, this project investigates the role of agent affect/emotion. This project examines how the agent’s affective state (e.g., seeming interested or concerned) […]

Synthesis and Design Workshop: Distributed Collaboration in STEM-Rich Project-Based Learning

9/1/18-8/31/19 PI: Eric Hamilton Pepperdine University Award Details This project will convene a synthesis and design workshop on next generation science, technology, engineering, and mathematics (STEM) learning. It envisions a two-tier timeline that looks three years and then ten years into the future. One primary workshop topic involves design considerations for “boundary-crossing” project-based learning, by […]

Catalyzing Scientific Inquiry and Engineering through Wearable Intersubjective Sensation Devices

8/01/2017-7/31/2020 PI: R. Benjamin Shapiro University of Colorado at Boulder Award Details This project will investigate how to improve young people’s science skills, and to increase their perceptions of science as a pro-social field, through the design and enactment of a new science education approach that emphasizes curiosity about and investigation of animal perception and […]

EXP: Paper Mechatronics: Advancing Engineering Education Through Computationally Enhanced Children’s Papercrafts

10/01/2017-9/30/2019 PI: Sherry Hsi, Michael Eisenberg Concord Consortium Award Details Professional engineering is a complex, multifaceted activity. Today’s engineer needs to be resourceful and innovative, to build models, and to test and improve designs. Moreover, creating a new artifact is often an interdisciplinary effort. The task may well involve elements of computational, mechanical, and electronic […]

Convergence HTF: Collaborative: Workshop on Convergence Research about Multimodal Human Learning Data during Human Machine Interactions

9/01/2017-8/31/2018 PI: Gautam Biswas Vanderbilt University Award Details Intelligent, interactive, and highly networked machines — with which people increasingly share their autonomy and agency — are a growing part of the landscape, particularly in regard to work. As automation today moves from the factory floor to knowledge and service occupations, insight and action are needed […]

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, […]