PI: Tapan Parikh University of California-Berkeley Award Details In this Cyberlearning: Transforming Education Exploration project, researchers focus on the challenge of helping students in grades 4 through 6 develop data science skills — understanding the significance of data and where it comes from, and developing capabilities involved in manipulating data and using it to draw […]
Tag Archives: Data science learning
DIP: Developing Frameworks, Tools and Social Practices to Support Effective Instructor use of Online Social Learning Networks in Blended Learning Models
PI: Nichole Pinkard, Denise Nacu DePaul University Award Details In this Cyberlearning: Transforming Education DIP (Development and Implementation) project, the PIs focus on understanding the kinds of tools and help for teachers that will support them as they integrate use of learning technologies into their classroom practices. There are a variety of challenges in creating […]
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, […]
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, […]
DIP: Collaborative Research: Transforming Science Learning with an Interactive Web Environment for Data Sharing and Visualization
Fred Martin, Michelle Scribner-MacLean, University of Massachusetts Lowell (Award Details) Samuel Christy, Machine Science Inc. (Award Details) In this Cyberlearning Design and Implementation Project, the University of Massachusetts Lowell (UML) and a non-profit collaborator, Machine Science Inc. of Cambridge, Massachusetts, are studying classroom implementations of a web platform that helps middle school and high school […]
DIP: Exploiting Longitudinal Electroencephalogram (EEG) Input in a Reading Tutor
PIs: David Mostow, Kai-Min Chang Carnegie-Mellon University Automated (and human) tutors are limited in their ability to infer what is going on in students’ heads based on their observable behavior. The proposed work addresses this limitation by investigating how EEG input from a commercially-available device can be used as evidence about students’ mental states. In […]
EXP: Educating Teens to Understand Personal Health (GET-UP)
PIs: Cynthia Ching, J. Bruce German University of California-Davis Award Details This team is creating a new kind of video-game, one that incorporates the changing characteristics of the person playing the game into the game play itself. This provides game players (learners) with an alternate perspective on their own capabilities and the effects and impacts […]
EXP: Constructing Multimedia Artifacts Using a Video Repository
PIs: Carolyn Maher, Cindy Hmelo-Silver, Grace Agnew, Susan Golbeck, Marjory Palius Rutgers University New Brunswick Award Details This PI team is investigating three aspects of the use of video in education: i) how people learn with video, ii) the role of technology in supporting use of the vast corpora of video generated by decades of […]
EXP: Using Technologies to Engage Learners in the Scientific Practices of Investigating Rich Behavioral and Ecological Questions
PIs: Thomas Moher, Tanya Berger-Wolf, Leilah Lyons, Joel Brown, Brian Reiser University of Illinois at Chicago Award Details This exploratory project, involving The University of Illinois at Chicago and Northwestern University, investigates the use of sensor-based technologies and general engineering approaches by fourth and fifth grade elementary students, and the effects of that use on […]
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