The National Science Foundation is offering a grant through an ‘Ideas Lab’ to foster novel, transformative, and multidisciplinary approaches for improving STEM teaching and learning. This initiative seeks to leverage large datasets to generate actionable knowledge, aiming to revolutionize learning in formal and informal environments. The grant encourages collaboration among learning scientists, STEM disciplinary experts, computer scientists, statisticians, database specialists, and educational researchers. Expected outcomes include enhanced student learning and engagement, optimized personalized instruction, and improved educator decision-making. Participants will engage in an intensive five-day workshop to develop high-risk, high-reward collaborative proposals that utilize diverse data types, from individual learner data to national educational statistics. The goal is to rapidly advance the field of education.
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Current Closing Date for Applications: | – This opportunity has been archived.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
There are no related documents on this grant.
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