Tag Archives: Multi-modal analytics

EAGER: Leveraging Behavioral and Physiological Feedback in the Design of Affect-Sensitive Distance Learning

9/1/18-8/31/20 PIs: Lauren Wilcox, Elizabeth DiSalvo, David Joyner, Thomas Ploetz Georgia Tech Research Corporation Award Details As the world workforce increasingly pursues technology-focused careers, we see more technology learning environments emerge, such as online courses. There are many advantages to online learning that make it appealing to adult learners, such as low cost, flexibility in […]

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 […]

EAGER: Developing Teaching Assistant Expertise with a Sensor-Based Learning System

9/01/2017-8/31/2019 PI: Amy Ogan, John Zimmerman Carnegie-Mellon University Award Details While a college degree is essential for many jobs or career paths, many college students receive a less than ideal educational experience. For years, research has shown that moving away from large lectures and increasing student engagement and participation significantly improves learning. However, most colleges […]

EAGER: Mobile City Science: Youth Mapping Community Learning Opportunities

9/1/16-2/28/18 PIs: Katie Taylor, Nichole Pinkard, Andres Henriquez University of Washington Award Details Mapping, and understanding related technologies, is quickly becoming a new kind of civic literacy for participating in community-level problem-solving. This project will study how two groups of urban youth collect data about and map their communities using mobile and location aware technologies, […]

EXP: Linking Eye Movements with Visual Attention to Enhance Cyberlearning

8/15/16-7/31/18 PIs: Daniel Levin, Adriane Seiffert, Gautam Biswas Vanderbilt University Award Details Although hardware and software solutions are rapidly advancing the ability to detect and track cyberlearners’ eye movements, the scientific understanding of the link between these eye movements and actual learning remains tentative. This issue is particularly important because research demonstrates surprising limits to […]

EXP: Collaborative Research: Extracting Salient Scenarios from Interaction Logs (ESSIL)

9/1/16-8/31/18 PIs: Andee Rubin, TERC Inc (Award Details) Barbara Grosz, Harvard University (Award Details) Leilah Lyons, New York Hall of Science (Award Details) The Extracting Salient Scenarios from Interaction Logs (ESSIL) project proposes to develop a new type of educational technology to support students’ learning about complex systems from their participation in a multi-person immersive […]

EXP: Attention-Aware Cyberlearning to Detect and Combat Inattentiveness During Learning

6/01/2017-8/31/2018 PIs: Sidney D’Mello University of Colorado at Boulder Award Details The ability to concentrate on tasks is critical to learning. This project will develop attention-aware cyberlearning as a new genre of learning technologies that automatically detect and respond to students’ attentional states. In particular, this project will implement technology that will detect mind wandering […]