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, […]
Tag Archives: Engineering
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 […]
CAP: Collaborative Research: Building a Network to Advance Collaborative Research on Young Children’s Learning through Public Media Assets
Brigid Barron and Roy Pea, Stanford University (Award Details) Reed Stevens, Northwestern University (Award Details) This Cyberlearning Capacity-Building project brings together learning scientists, experts in media creation, experts in child development, producers of public media assets, parent, and educators in an effort to build social infrastructure that will support bringing what is known about how […]
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, […]
EXP: Students Authoring Intelligent Tutoring Systems for Constructing Models of Ill-Defined Dynamic Systems
PIs: Kurt VanLehn, Daniel Childers Arizona State University Award Details The PIs, one expert in intelligent tutoring systems, and the other an expert on ecosystems, are investigating the ways model construction can aid in the understanding of complex dynamic systems, specifically ecosystems and systems involved in sustaining life on our planet. The PIs are particularly […]
EXP: CTSiM: Fostering Computational Thinking in Middle Schools through Scientific Modeling and Simulation
PIs: Gautam Biswas, Douglas Clark, Pratim Sengupta Vanderbilt University Award Details This project’s investigation is at the nexus between scientific thinking, computational thinking, modeling as an investigative endeavor, and visual programming tools. The PIs are infusing middle-school science with efforts to promote computational thinking, doing that through making modeling a more significant part of science […]
EXP: Deepening Conceptual Understanding with Hands-on, Augmented-Reality Experimentation
PI: David Johnson, Kirsten Butcher University of Utah Award Details This project team, led by a learning scientist and a computer graphics and augmented reality expert are working together to design a new kind of science laboratory environment that uses augmented reality (AR) to make invisible scientific phenomena visible and continuously reinforce the conceptual principles […]
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: Learning in the Making: Studying and Designing Makerspaces
PIs: Erica Halverson, Kimberly Sheridan University of Wisconsin-Madison Award Details This project takes an ethnographic and design-based approach to understanding how and what people learn from participation in makerspaces and explores the features of those environments that can be leveraged to better promote learning. Makerspaces are physical locations where people (often families) get together to […]
DIP: Collaborative Research: Social Robots as Mechanisms for Language Instruction, Interaction, and Evaluation in Pre-School Children
Cynthia Breazeal, MIT (Award Details) David DeSteno, Northeastern University (Award Details) Paul Harris, Harvard University (Award Details) This project is leveraging emerging technologies in social robotics with recent findings from social, developmental, and cognitive psychology to design, implement, and evaluate a new generation of robots that is capable of interacting with and instructing young learners […]
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