Fred Martin, Michelle Scribner-MacLean, University of Massachusetts Lowell (Award Details) Samuel Christy, Machine Science Inc. (Award Details) In this Cyberlearning Design and Implementation Project, the University of Massachusetts Lowell (UML) and a non-profit collaborator, Machine Science Inc. of Cambridge, Massachusetts, are studying classroom implementations of a web platform that helps middle school and high school […]
Category Archives: CFLT-DIP
DIP: Exploiting Longitudinal Electroencephalogram (EEG) Input in a Reading Tutor
PIs: David Mostow, Kai-Min Chang Carnegie-Mellon University Automated (and human) tutors are limited in their ability to infer what is going on in students’ heads based on their observable behavior. The proposed work addresses this limitation by investigating how EEG input from a commercially-available device can be used as evidence about students’ mental states. In […]
DIP: Collaborative Research: Social Robots as Mechanisms for Language Instruction, Interaction, and Evaluation in Pre-School Children
Cynthia Breazeal, MIT (Award Details) David DeSteno, Northeastern University (Award Details) Paul Harris, Harvard University (Award Details) This project is leveraging emerging technologies in social robotics with recent findings from social, developmental, and cognitive psychology to design, implement, and evaluate a new generation of robots that is capable of interacting with and instructing young learners […]
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, […]