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Directorate for Computer and Information Science and Engineering

Cyberlearning for Work at the Human-Technology Frontier


Cyberlearning Resource Center

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/


CONTACTS
Name Email Phone Room
Tatiana  Korelsky tkorelsk@nsf.gov (703) 292-8930   
Amy  L. Baylor abaylor@nsf.gov (703) 292-5126   
John  Cherniavsky jchernia@nsf.gov (703)292-5136   
Dan  R. Cosley dcosley@nsf.gov (703) 292-8491   
Soo-Siang  Lim slim@nsf.gov (703) 292-7878   
Julie  Martin julmarti@nsf.gov (703)292-8657   
Robert  Russell rlrussel@nsf.gov (703) 292-2995   
Chia  Shen cshen@naf.gov (703)292-8447   
Maria  Zemankova mzemanko@nsf.gov (703) 292-7348   

 

 

 

 


PROGRAM GUIDELINES

Solicitation  17-598

Important Information for Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 19-1), is effective for proposals submitted, or due, on or after February 25, 2019. Please be advised that, depending on the specified due date, the guidelines contained in NSF 19-1 may apply to proposals submitted in response to this funding opportunity.


DUE DATES

Full Proposal Deadline Date

    January 13, 2020

    Second Monday in January, Annually Thereafter


SYNOPSIS

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.

 


What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)

Map of Recent Awards Made Through This Program

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