Youth Experience, Learning, and Digital Practices
Creating new avenues for youth learning, communication, play, and self-expression.
Research Projects
Campus Computation Center: Support, Enrichment & Computing Identity Development to Boost STEM Success
Principal Investigator(s): Katherine Izsak Ron Padrón Vedat G. Diker Bill Kules beth bonsignore
Funder: DoD-Navy
Research Areas: Accessibility and Inclusive Design > Human-Computer Interaction > Youth Experience, Learning, and Digital Practices
Principal Investigator(s): Katherine Izsak Ron Padrón Vedat G. Diker Bill Kules beth bonsignore
Funder: DoD-Navy
Research Areas: Accessibility and Inclusive Design > Human-Computer Interaction > Youth Experience, Learning, and Digital Practices
UMD INFO College Fellows Program at the National Agricultural Library
Principal Investigator(s): Katrina Fenlon
Funder: US Department of Agriculture
Research Areas: Archival Science > Digital Humanities > Library and Information Science > Youth Experience, Learning, and Digital Practices
Principal Investigator(s): Katrina Fenlon
Funder: US Department of Agriculture
Research Areas: Archival Science > Digital Humanities > Library and Information Science > Youth Experience, Learning, and Digital Practices
CAREER: API Can Code: Situating Computational Learning Opportunities in the Digital Lives of Students
Principal Investigator(s): David Weintrop
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Human-Computer Interaction > Youth Experience, Learning, and Digital Practices
Principal Investigator(s): David Weintrop
Funder: National Science Foundation
Research Areas: Data Science, Analytics, and Visualization > Human-Computer Interaction > Youth Experience, Learning, and Digital Practices
Faculty
Staff
Recent News
Photo by Compare Fibre on Unsplash
Lessons from COVID: INFO’s Unexpected Remote Learning Revolution
Human-centered approaches to teaching and learning remotely endure, improving access
A UMD-led multidisciplinary team is developing a large-scale, open-source dataset for AI model training tools focused on K–12 math education that aims to increase accuracy and representation in educational AI systems. Photo by Adobe Stock.
Maryland Today: UMD Researchers to Build AI Database to Improve Math Learning Outcomes (ft. Wei Ai)
Project Funded by $4.5M Philanthropic Grant Aims to Help Teachers, Students, Researcher and Edtech Industry