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 […]
Category Archives: CFLT-INT/INDP
INT: Project Learning with Automated, Networked Supports (PLANS)
PIs: Marcia Linn, Michael Heilman University of California-Berkeley Award Details Project Learning with Automated, Networked Supports (PLANS) will contribute to science and engineering education in middle schools. This software technology will support deep learning as students carry out project-based work. Specifically, PLANS will connect tools for brainstorming, planning, modeling, sketching, data gathering, graphing, designing, and […]
INDP: Collaborative Research: Coding for All: Interest-Driven Trajectories to Computational Fluency
PIs: Mitchel Resnick, Natalie Rusk, MIT (Award Details) Mizuko Ito, University of California-Irvine (Award Details) Urs Gasser, Harvard University (Award Details) This Cyberlearning Integration and Deployment (INDP) project brings together an interdisciplinary research team from the MIT Media Lab, the Digital Media and Learning Hub at University of California Irvine, and Harvard University’s Berkman Center […]
INDP: Inquiry Hub
PIs: Tamara Sumner, Janet Carlson, William Penuel, Michael Wright, Patricia Kincaid University of Colorado at Boulder The “Inquiry Hub” project brings together a partnership of educational researchers, computer scientists, school district leaders, curriculum developers, interactive resource providers, and multiple publishers of STEM curricula to undertake a systemic approach to learner-centered teaching that promotes adaptability and […]
INDP: InquirySpace: Technologies in Support of Student Experimentation
PIs: Chad Dorsey, William Finzer, Robert Tinker, Uri Wilensky Concord Consortium and Northwestern University Award Details It is widely recognized that much of science can more effectively be learned if students learn science in ways similar to the ways scientists build new knowledge. Yet classroom implementations of scientific inquiry often convey an inaccurate understanding of […]