Research on Emerging Technologies for Teaching and Learning (RETTL) Crosscutting Programs
The Center for Integrative Research in Computing and Learning Sciences (CIRCLS.org) is a network for researchers who conduct exploratory learning research with advanced and emerging technologies, including researchers who are funded by RETTL as well as researchers with other funding sources but related goals. CIRCLS.org supports writing well-informed proposals, articulating community-wide goals, making collegial connections, conducting high-quality research projects, sharing insights and findings, and achieving broader impacts together. Please see the document on CIRCLS.org called "5 Ways CIRCLS Can Help You" to learn more.
The Center for Innovative Research in Cyberlearning (CIRCL) builds capacity and shares the results of CLFT projects to expand the impact of the CLFT program. To learn more about CIRCL, the CLFT program, and current and past CLFT projects, please visit http://circlcenter.org/
|Amy L. Baylor||EHR/DRL||Tatiana Korelsky||CISE/IIS|
Important Information for Proposers
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 20-1), is effective for proposals submitted, or due, on or after June 1, 2020. Please be advised that, depending on the specified due date, the guidelines contained in NSF 20-1 may apply to proposals submitted in response to this funding opportunity.
Full Proposal Deadline Date
January 25, 2021
Deadline for FY 2021 competition
October 18, 2021
Deadline for FY 2022 competition
The purpose of the Research on Emerging Technologies for Teaching and Learning (RETTL) program is to fund exploratory and synergistic research in emerging technologies (to include, but not limited to, artificial intelligence (AI), robotics, and immersive or augmenting technologies) for teaching and learning in the future. The program accepts proposals that focus on learning, teaching, or a combination of both. The scope of the program is broad, with special interest in diverse learner/educator populations, contexts, and content, including teaching and learning in science, technology, engineering, and mathematics (STEM) and in foundational areas that enable STEM (e.g., self-regulation, literacy, communication, collaboration, creativity, and socio-emotional skills). Research in this program should be informed by the convergence (synthesis) of multiple disciplines: e.g., learning sciences; discipline-based education research; computer and information science and engineering; design; and cognitive, behavioral, and social sciences. Within this broad scope, the program also encourages projects that investigate teaching and learning related to futuristic and highly technological work environments.