PIs: Kevin Ashley, Diane Litman, Christian Schunn University of Pittsburgh Award Details The PIs are investigating the design of intelligent tutoring systems (ITSs) that are aimed at learning in unstructured domains. Such systems are not able to do as much automatically as ITSs working in traditionally narrow and well-structured domains, but rather they need to […]
Tag Archives: Statistical methods or research design
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: 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 […]
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, […]
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: 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 […]
INDP: InquirySpace: Technologies in Support of Student Experimentation
PIs: Chad Dorsey, William Finzer, Robert Tinker, Uri Wilensky Concord Consortium and Northwestern University Award Details It is widely recognized that much of science can more effectively be learned if students learn science in ways similar to the ways scientists build new knowledge. Yet classroom implementations of scientific inquiry often convey an inaccurate understanding of […]
EAGER: A Prototype WorldWide Telescope Visualization Lab Designed in the Web-based Inquiry Science Environment
PIs: Alyssa Goodman, Susan Sunbury Harvard University Award Details The PIs are developing and testing a prototype visualization lab designed to help middle schoolers understand why the moon appears to have phases when observed from Earth. The work is being done through a partnership between (i) astronomers who have developed the WorldWide Telescope Universe Information […]
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