9/1/16-8/31/19 PIs: Tiffany Barnes, Min Chi North Carolina State University Award Details The researchers in this project will study fully data-driven systems to provide both scalable and individualized support for learners. Open-ended, media-rich visual programming environments such as Scratch and Snap represent the next-generation genre for engaging and inspiring students to learn programming. However, solving […]
Category Archives: CFLT-EXP
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: Inclusive Design for Engaging All Learners (IDEAL): Designing Technology for Cultural Brokering
1/1/17-7/31/18 PIs: Yanghee Kim, Sherry Marx, Tung Nguyen Utah State University Award Details In the United States today, children whose home language is not English make up about 21% of the current K-12 school-age population. These children often enter school already behind academically because they have to learn English as well as the subject being […]
EXP: Collaborative Research: Perception and Production in Second Language: The Roles of Voice Variability and Familiarity
PI: Ricardo Gutierrez-Osuna, Texas A&M (Award Details) PI: John Levis, Iowa State University (Award Details) The U.S. economy is boosted by many highly skilled professionals from non-English speaking countries, who work in higher education, healthcare, and technology. These professionals typically have solid knowledge of English but age-related non-native pronunciations that can impair their intelligibility. Highly-skilled […]
EXP: Helping Teachers Help Their Students: Teachers’ Use of Intelligent Tutoring Software Analytics to Improve Student Learning.
PIs: Vincent Aleven, Bruce McLaren Carnegie-Mellon University Award Details Improving learning in K-12 Science, Technology, Engineering, and Mathematics (STEM) is a critical national need as more jobs require STEM proficiency. Recently, Intelligent Tutoring Systems (ITSs) have shown great promise in improving STEM learning in middle school and high school. While these tutors support students directly, […]
EXP: Partners in Learning: Building Rapport with a Virtual Peer Tutor
PIs: Justine Cassell, Louis-Philippe Morency, Amy Ogan Carnegie-Mellon University Award Details This project seeks to understand, and capitalize on, how teachers or tutors build rapport with learners by building technologies that support rapport. Research will study what rapport with learners looks like, when students deploy rapport techniques, when and how deploying rapport techniques (whether by […]
EXP: Collaborative Research: A Personalized Storyteller Companion to Promote Preschooler Language Skills
PIs: Cynthia Breazeal, Massachusetts Institute of Technology (Award Details) Stephanie Gottwald, Tufts University (Award Details) Early language ability, including vocabulary skills and oral language knowledge during preschool, is an important predictor of children’s academic success in subsequent school years. Social robots that can engage children as personalized learning companions hold great promise in augmenting the […]
EXP: Learning Parallel Programming Concepts Through an Adaptive Game
PIs: Santiago Ontanon, Brian Smith, Jichen Zhu, Bruce Char Drexel University Award Details This project will develop educational games that adapt to the skill level of the user and will conduct research on using them to teach concepts from computer programming. Modern computing is increasingly handled in a parallel fashion and despite the growing body […]
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 […]
EXP: Teaching Bias Mitigation through Training Games with Application in Credibility Attribution
PI: Norah Dunbar University of California-Santa Barbara Award Details This project will develop and study an interactive game entitled VERITAS for making players aware of their cognitive bias in decision making and attempting to mitigate its effects. The game focuses on detecting deception and many of the research participants are from law enforcement. Heuristics are […]