Research on Emerging Technologies for Teaching and Learning (RETTL)


Funding Opportunity ID: 329171
Opportunity Number: 20-612
Opportunity Title: Research on Emerging Technologies for Teaching and Learning (RETTL)
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Grant
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
CFDA Number(s): 47.041
Eligible Applicants: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility”
Additional Information on Eligibility:
Agency Code: NSF
Agency Name: National Science Foundation
Posted Date: Sep 23, 2020
Close Date: Jan 25, 2021
Last Updated Date: Sep 23, 2020
Award Ceiling: $850,000
Award Floor: $0
Estimated Total Program Funding: $19,000,000
Expected Number of Awards:
Description: The purpose of theResearch on Emerging Technologiesfor 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.
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