Opportunity ID: 239806

General Information

Document Type: Grants Notice
Funding Opportunity Number: 13-565
Funding Opportunity Title: Data-Intensive Research to Improve Teaching and Learning – An Ideas Lab to Foster Transformative Approaches to Teaching and Learning
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Grant
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards: 10
Assistance Listings: 47.076 — Education and Human Resources
Cost Sharing or Matching Requirement: No
Version: Synopsis 2
Posted Date: Aug 13, 2013
Last Updated Date: Sep 12, 2014
Original Closing Date for Applications: Dec 09, 2013 Preliminary Proposal Due Date(s) (required) (due by 5 p.m. proposer’s local time):
August 19, 2013 Required for participation in the Ideas Lab workshop
Full Proposal Deadline(s):
December 09, 2013 All full proposals
Current Closing Date for Applications: – This opportunity has been archived.
Archive Date: Sep 12, 2014
Estimated Total Program Funding: $5,000,000
Award Ceiling:
Award Floor: $300,000

Eligibility

Eligible Applicants: Others (see text field entitled “Additional Information on Eligibility” for clarification)
Additional Information on Eligibility: *PI Limit:
An individual may be included as a Co-PI or senior investigator on multiple fullproposals.

Additional Information

Agency Name: U.S. National Science Foundation
Description: The goal of this activity is to foster novel, transformative, multidisciplinary approaches that address the use of large data sets to create actionable knowledge for improving STEM teaching and learning environments (formal and informal) in the medium term, and to revolutionize learning in the longer term. These approaches will involve the work of learning scientists, STEM disciplinary experts, computer scientists, statisticians, database experts and educational researchers who design and study learning environments. Among the potential benefits of integrating approaches from these disciplines are improving student learning and engagement, optimizing personalized instruction, and supporting rapid decision making to help educators respond more effectively to the learning needs of individuals and groups of learners in multiple settings. These approaches may be risky but should have the potential to rapidly advance the field. The scope of this activity does not include infrastructure development focused on data base design and development for education domains. The new approaches envisioned in this solicitation will require the generation and use of data that range from micro-level data on individual learners, to data from online learning sources (such as massively open online courses), to meso-level data from the classroom that provide information to students and teachers about how learning is progressing, to macro-level data such as school, district, state, and national data, including data from federal science and policy agencies. Participants in the Ideas Lab, selected through an open application process, will engage in an intensive five-day residential workshop, the development of multidisciplinary collaborative proposals through a real-time and iterative review process, and, for the participant teams invited to submit full proposals, the subsequent submission of full proposals.
Link to Additional Information: NSF Publication 13-565
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

NSF grants.gov support

grantsgovsupport@nsf.gov

Email:grantsgovsupport@nsf.gov

Version History

Version Modification Description Updated Date
This opportunity has been archived. Sep 12, 2014
Sep 12, 2014

DISPLAYING: Synopsis 2

General Information

Document Type: Grants Notice
Funding Opportunity Number: 13-565
Funding Opportunity Title: Data-Intensive Research to Improve Teaching and Learning – An Ideas Lab to Foster Transformative Approaches to Teaching and Learning
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Grant
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards: 10
Assistance Listings: 47.076 — Education and Human Resources
Cost Sharing or Matching Requirement: No
Version: Synopsis 2
Posted Date: Aug 13, 2013
Last Updated Date: Sep 12, 2014
Original Closing Date for Applications: Dec 09, 2013 Preliminary Proposal Due Date(s) (required) (due by 5 p.m. proposer’s local time):
August 19, 2013 Required for participation in the Ideas Lab workshop
Full Proposal Deadline(s):
December 09, 2013 All full proposals
Current Closing Date for Applications: – This opportunity has been archived.
Archive Date: Sep 12, 2014
Estimated Total Program Funding: $5,000,000
Award Ceiling:
Award Floor: $300,000

Eligibility

Eligible Applicants: Others (see text field entitled “Additional Information on Eligibility” for clarification)
Additional Information on Eligibility: *PI Limit:
An individual may be included as a Co-PI or senior investigator on multiple fullproposals.

Additional Information

Agency Name: U.S. National Science Foundation
Description: The goal of this activity is to foster novel, transformative, multidisciplinary approaches that address the use of large data sets to create actionable knowledge for improving STEM teaching and learning environments (formal and informal) in the medium term, and to revolutionize learning in the longer term. These approaches will involve the work of learning scientists, STEM disciplinary experts, computer scientists, statisticians, database experts and educational researchers who design and study learning environments. Among the potential benefits of integrating approaches from these disciplines are improving student learning and engagement, optimizing personalized instruction, and supporting rapid decision making to help educators respond more effectively to the learning needs of individuals and groups of learners in multiple settings. These approaches may be risky but should have the potential to rapidly advance the field. The scope of this activity does not include infrastructure development focused on data base design and development for education domains. The new approaches envisioned in this solicitation will require the generation and use of data that range from micro-level data on individual learners, to data from online learning sources (such as massively open online courses), to meso-level data from the classroom that provide information to students and teachers about how learning is progressing, to macro-level data such as school, district, state, and national data, including data from federal science and policy agencies. Participants in the Ideas Lab, selected through an open application process, will engage in an intensive five-day residential workshop, the development of multidisciplinary collaborative proposals through a real-time and iterative review process, and, for the participant teams invited to submit full proposals, the subsequent submission of full proposals.
Link to Additional Information: NSF Publication 13-565
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

NSF grants.gov support

grantsgovsupport@nsf.gov

Email:grantsgovsupport@nsf.gov

DISPLAYING: Synopsis 1

General Information

Document Type: Grants Notice
Funding Opportunity Number: 13-565
Funding Opportunity Title: Data-Intensive Research to Improve Teaching and Learning – An Ideas Lab to Foster Transformative Approaches to Teaching and Learning
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Grant
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards: 10
Assistance Listings: 47.076 — Education and Human Resources
Cost Sharing or Matching Requirement: No
Version: Synopsis 1
Posted Date: Sep 12, 2014
Last Updated Date:
Original Closing Date for Applications:
Current Closing Date for Applications: Dec 09, 2013 Preliminary Proposal Due Date(s) (required) (due by 5 p.m. proposer’s local time):
August 19, 2013 Required for participation in the Ideas Lab workshop
Full Proposal Deadline(s):
December 09, 2013 All full proposals
Archive Date: Jan 09, 2014
Estimated Total Program Funding: $5,000,000
Award Ceiling:
Award Floor: $300,000

Eligibility

Eligible Applicants: Others (see text field entitled “Additional Information on Eligibility” for clarification)
Additional Information on Eligibility: *PI Limit:
An individual may be included as a Co-PI or senior investigator on multiple fullproposals.

Additional Information

Agency Name: U.S. National Science Foundation
Description: The goal of this activity is to foster novel, transformative, multidisciplinary approaches that address the use of large data sets to create actionable knowledge for improving STEM teaching and learning environments (formal and informal) in the medium term, and to revolutionize learning in the longer term. These approaches will involve the work of learning scientists, STEM disciplinary experts, computer scientists, statisticians, database experts and educational researchers who design and study learning environments. Among the potential benefits of integrating approaches from these disciplines are improving student learning and engagement, optimizing personalized instruction, and supporting rapid decision making to help educators respond more effectively to the learning needs of individuals and groups of learners in multiple settings. These approaches may be risky but should have the potential to rapidly advance the field. The scope of this activity does not include infrastructure development focused on data base design and development for education domains. The new approaches envisioned in this solicitation will require the generation and use of data that range from micro-level data on individual learners, to data from online learning sources (such as massively open online courses), to meso-level data from the classroom that provide information to students and teachers about how learning is progressing, to macro-level data such as school, district, state, and national data, including data from federal science and policy agencies. Participants in the Ideas Lab, selected through an open application process, will engage in an intensive five-day residential workshop, the development of multidisciplinary collaborative proposals through a real-time and iterative review process, and, for the participant teams invited to submit full proposals, the subsequent submission of full proposals.
Link to Additional Information: NSF Publication 13-565
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

NSF grants.gov support
grantsgovsupport@nsf.gov

Email:grantsgovsupport@nsf.gov

Related Documents

Packages

Agency Contact Information: NSF grants.gov support
grantsgovsupport@nsf.gov

Email: grantsgovsupport@nsf.gov

Who Can Apply: Organization Applicants

Assistance Listing Number Competition ID Competition Title Opportunity Package ID Opening Date Closing Date Actions
47.076 PKG00183096 Aug 13, 2013 Dec 09, 2013 View

Package 1

Mandatory forms

239806 RR_SF424_1_2-1.2.pdf

239806 PerformanceSite_1_4-1.4.pdf

239806 RR_OtherProjectInfo_1_3-1.3.pdf

239806 RR_KeyPersonExpanded_1_2-1.2.pdf

239806 RR_PersonalData_1_2-1.2.pdf

239806 RR_Budget-1.1.pdf

239806 NSF_CoverPage_1_3-1.3.pdf

Optional forms

239806 RR_SubawardBudget-1.2.pdf

239806 NSF_DeviationAuthorization-1.1.pdf

239806 NSF_SuggestedReviewers-1.1.pdf

239806 NSF_Registration_1_3-1.3.pdf

2025-07-12T12:08:46-05:00

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