Center for Integrative Research in Computing and Learning Sciences (CIRCLS) – Digital Promise

Center for Integrative Research in Computing and Learning Sciences (CIRCLS)

A community-based hub of researchers who are exploring and investigating innovative technologies that will be more broadly available to learners in 5-10 years.

The Center for Integrative Research in Computing and Learning Sciences (CIRCLS) was a community-based hub of researchers who are exploring and investigating innovative technologies that will be more broadly available to learners in 5-10 years.

Funded by the National Science Foundation (NSF), CIRCLS built community among researchers, practitioners, developers, and other education stakeholders around the connected issues of emerging technologies, learning sciences, and diversity, equity, and inclusion. By working together, we addressed common needs in education research and development, while creating a broader impact for all students.

CIRCLS was well-known for its highly interactive events, such as convenings. Participation in CIRCLS led to many relationships to advance exploratory research. CIRCLS also played a role in synthesizing the work of the community members and in reflecting on the growth and next steps for the community. Read the stories below for insights from individual participants.

Read CIRCLS reflections and stories

The CIRCLS Team

  • Digital Promise: Jeremy Roschelle (Principal Investigator), Judi Fusco (Co-Principal Investigator), Pati Ruiz, Deblina Pakhir, Dalila Dragnić-Cindrić, KellyAnn Tsai, Yenda Prado, Sana Karim
  • SRI Education: Shari Gardner (Co-Principal Investigator), Sophia Ouyang
  • EDC (Education Development Center): Sarita Nair-Pillai (Co-Principal Investigator), Wendy Martin, Camille Ferguson
  • University of Pittsburgh: Erin Walker (Co-Principal Investigator), Cassandra Kelley, Zak Risha, Leah Friedman
  • Postdoctoral Researchers: Michael Chang , Aditi Mallavarapu
  • Advisors: Alina Von Davier, Kevin Brown, Cindy Hmelo-Silver, Diane Litman, Craig Watkins, Marcelo Worsley

This material was based upon work supported by the National Science Foundation under grant 2021159. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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