Tag Archives: Personalized learning

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

PIs: Sidney D’Mello, Matthew Kloser, James Brockmole University of Notre Dame 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 […]

Badge-Based STEM Assessment: Current Terrain and the Road Ahead

PIs: Michelle Riconscente, Margaret Honey New York Hall of Science Award Details The New York Hall of Science proposes a two-pronged workshop project that will: (1) conduct a study of and develop a draft report on the topic of STEM badges including conceptualizations, rationale, systems, key contributors and challenges and opportunities for STEM-related badges; and […]

DIP: EMBRACEing English Language Learners with Technology

PIs: Arthur Glenberg, Erin Walker, M. Adelaida Restrepo Arizona State University In this Cyberlearning: Transforming Education DIP (Development and Implementation) Project, the PIs focus on how to address the English-language learning needs of young English-language learners (ELLs). They are enhancing the Moved by Reading (MbR) computer program that has been used to increase the reading […]

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 […]

EXP: Building a Learning Analytics System to Improve Student Learning and Promote Adaptive Teaching Across Multiple Domains

PIs: Marsha Lovett, Christopher Genovese Carnegie-Mellon University Award Details This PI team aims to use artificial intelligence to exploit data collected from intelligent tutoring systems to provide feedback both to students and to teachers effectively and at the right times. The team is using a new analytic approach, which introduces hierarchical modeling to learning analytics, […]

EXP: Collaborative Research: A System of Animation Gestures for Effective Teaching Avatars

PIs: Voicu Popescu, Nicoletta Adamo-Villani, Purdue University (Award Details) Susan Cook, University of Iowa (Award Details) Howard Friedman,University of California-Riverside (Award Details) This project addresses the challenge of making avatars used in tutoring systems and other learning technologies more engaging and more effective learning guides. One focus is on making the movements of an avatar […]

EXP: Collaborative Research: Engaging Interdisciplinary Students in Innovation Education through Crowd-based Technology

Steven Dow, Carnegie-Mellon University (Award Details) Elizabeth Gerber, Northwestern University (Award Details) This project team is exploring how crowd-based technology can support innovation education through feedback from potential customers and users, specifically looking at how the new forms of authentic feedback can be put to good use to support learning better to design, solve problems, […]

DIP: Collaborative Research: A Personalized Cyberlearning System Based on Cognitive Science

PIs: Richard Baraniuk, Rice University (Award Details) Elizabeth Marsh, Duke University (Award Details) Investigators from Rice University and Duke University will build a Personalized Cyberlearning System, designed around three principles from cognitive science (retrieval practice, spacing, and enhanced feedback), that leverages advances in machine learning and makes use of an existing instructional content material and […]