Tag Archives: Analytics/data mining

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 […]

EXP: Implementing a Workflow Visualization System for Design-Based Research

PIs: Sadhana Puntambekar, Sharon Derry, Alan Hackbarth University of Wisconsin-Madison Award Details This project is iteratively designing, beta-testing, implementing, and evaluating a fully automated, sharable Workflow Visualization System (WVS) to help researchers and educators preserve, organize, and analyze data captured from multiple design iterations of complex cyberlearning research and development (R&D) efforts. The team is […]