Tag Archives: Data visualization and representations

CAREER: DataSketch: Exploring Computational Data Visualization in the Middle Grades

7/01/2016-6/30/2019 PI: Michelle Wilkerson-Jerde Tufts University Award Details Increasingly, the data visualizations used in contemporary science and media move beyond conventional graphs or diagrams to use problem-specific imagery and computational techniques to reveal patterns of interest. K-12 students, however, do not have many opportunities to explore such data visualizations, or to author their own. The […]

Common Online Data Analysis Platform (CODAP)

PIs: William Finzer, Daniel Damelin Concord Consortium Award Details, Previous Award Details This project aims to engage students in meaningful scientific data collection, analysis, visualization, modeling, and interpretation. It targets grades 9-12 science instruction. The proposed research poses the question “How do learners conceive of and interact with empirical data, particularly when it has a […]

EXP: Local Ground: A Contextually Grounded Approach for Learning Data Science Skills

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 […]

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, […]

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: Interaction Research in Complex Informal Learning Environments

PIs: Stephen Uzzo, Marc Levy, Jan Plass, Eric Siegel, Margaret Honey New York Hall of Science Award Details This project brings together an interdisciplinary team of learning science researchers, game designers, game theory researchers, and environmental scientists to engage diverse audiences in the science of sustainability and sustainable development. Taking its inspiration from Buckminster Fuller’s […]

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 […]

EXP: Collaborative Infographics for Science Literacy (CISL)

PI: Joseph Polman University of Colorado at Boulder Award Details The project builds on an existing citizen journalism activity to investigate how to use collaborative critique and construction of infographics to foster high school students? science literacy and engagement. Foundations are in sociocultural approaches to human action and learning, using the notions of mediated action […]

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 […]