Cyberlearning for Work at the Human-Technology Frontier
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/
|Tatiana Korelskyfirstname.lastname@example.org||(703) 292-8930|
|Amy L. Bayloremail@example.com||(703) 292-5126|
|Robert Russellfirstname.lastname@example.org||(703) 292-2995|
|Kurt Thoroughmanemail@example.com||(703) 292-7281|
|Maria Zemankovafirstname.lastname@example.org||(703) 292-7348|
Important Information for Proposers
ATTENTION: Proposers using the Collaborators and Other Affiliations template for more than 10 senior project personnel will encounter proposal print preview issues. Please see the Collaborators and Other Affiliations Information website for updated guidance.
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 18-1), is effective for proposals submitted, or due, on or after January 29, 2018. Please be advised that, depending on the specified due date, the guidelines contained in NSF 18-1 may apply to proposals submitted in response to this funding opportunity.
Full Proposal Deadline Date
January 14, 2019
Second Monday in January, Annually Thereafter
The purpose of the Cyberlearning for Work at the Human-Technology Frontier program is to fund exploratory and synergistic research in learning technologies to prepare learners to excel in work at the human-technology frontier. This program responds to the pressing societal need to educate and re-educate learners of all ages (students, teachers and workers) in science, technology, engineering, and mathematics (STEM) content areas to ultimately function in highly technological environments, including in collaboration with intelligent systems. Innovative technologies can reshape learning processes, which in turn can influence new technology design. Learning technology research in this program should be informed by the convergence of multiple disciplines: education and learning sciences, computer and information science and engineering, and cognitive, behavioral and social sciences. This program funds learning technology research in STEM and other foundational areas that enable STEM learning.