Tag Archives: Data analytics/data mining

BCC-SBE/EHR: Developing Community & Capacity to Measure Noncognitive Factors in Digital Learning Environments

PIs: Andrew Krumm, Britte Cheng SRI International Award Details Researchers from SRI International are building a collaborative research community to support the measurement of noncognitive factors associated with learning in science, technology, engineering and mathematics using data from digital learning environments. Constructs such as engagement, grit, tenacity and perseverance are examined as they are strong […]

EAGER: TAEMILE: Towards Automating Experience Management in Interactive Learning Environments

PIs: Jichen Zhu, Glen Muschio, Aroutis Foster Drexel University Award Details A key challenge for interactive learning environments is how to automatically co-regulate “balancing learners” autonomy with the pedagogical processes intended by educators. In this Cyberlearning: Transforming Education EAGER project, the PIs are exploring the use of experience management (EM) to address this issue. They […]

EXP: Digital Lofts: Online Learning Environments for Real-World Innovation

PIs: Matthew Easterday, Elizabeth Gerber Northwestern University Award Details In this Cyberlearning: Transforming Education EXP project, researchers focus on developing the civic innovators of the future. To become civic innovators, learners must gain experience tackling complex, ill-structures design challenges that are not easily solved by a single individual within a fixed time frame. Such education […]

EXP: Macro Data for Micro Learning: Developing FUN! for Automated Assessment of Computational Thinking in Scratch

PIs: Deborah Fields, Taylor Martin Utah State University Award Details This Cyberlearning: Transforming Education Exploration Project is designed to advance understanding of how to personalize feedback and advice to learners as they engage in exploratory and creative activities in constructionist technology-enhanced learning environments. During such activities, learners often engage in programming (using, e.g., Scratch, Alice) […]

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, […]

DIP: Using Dynamic Formative Assessment Models to Enhance Learning of the Experimental Process in Biology

PI: Eli Meir, Joel Abraham, Eric Klopfer, Zhushan Li SimBiotic Software Award Details This project seeks to develop a dynamic formative assessment method for use with virtual labs. The research focuses on how to constrain a virtual lab experience to be amenable to automated feedback on relatively open-ended responses students are generating while still giving […]

DIP: Collaborative Research: Mixed-Reality Labs: Integrating Sensors and Simulations to Improve Learning

PIs: Charles Xie, Concord Consortium (Award Details) Jennifer Chiu, University of Virginia (Award Details) This collaborative project is investigating the characteristics of a mixed-reality learning environment that combines the rich context and multi-sensory experiences of a physical lab with the interactive simulations of a virtual lab. The hybrid environment integrates sensors and simulations to bring […]

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 […]