This Department of Education grant aims to support innovative and transformative approaches that leverage large data sets to enhance STEM teaching and learning environments. The grant encourages collaboration among learning scientists, STEM experts, and researchers to optimize instruction, improve student engagement, and facilitate data-driven decision-making. The grant does not cover infrastructure development and seeks proposals that integrate micro to macro-level data to propel the field forward. Selected participants will partake in an intensive workshop to develop collaborative proposals and potentially receive funding for project implementation.
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:: | |
| Category of Funding Activity:: | Science and Technology and other Research and Development |
| Category Explanation:: | |
| Expected Number of Awards:: | 10 |
| Assistance Listings Number(s):: | 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 |
| Current Closing Date for Applications:: | |
| 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:: | 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:: | |
| Grantor Contact Information:: | If you have difficulty accessing the full announcement electronically, please contact: |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
| Synopsis 2 | This opportunity has been archived. | Sep 12, 2014 |
| Synopsis 1 |
Package Status
Below are CLOSED Opportunity Package(s) no longer available for this Funding Opportunity:
Package No: 1
| Assistance Listings: | 47.076 |
| Competition ID: | |
| Competition Title: | |
| Opportunity Package ID: | PKG00183096 |
| Opening Date: | Aug 13, 2013 |
| Closing Date: | Dec 09, 2013 |
| Agency Contact Information:: | Doris L. Carver |
| Who Can Apply:: | Organization and Individual Applicants |
| mendatory_forms |
SF424 (R & R) [V1.2] Project/Performance Site Location(s) [V1.4] Research And Related Other Project Information [V1.3] Research And Related Senior/Key Person Profile (Expanded) [V1.2] Research & Related Personal Data [V1.2] Research & Related Budget [V1.1] NSF Cover Page [V1.3] |
| optional_forms |
R & R Subaward Budget Attachment(s) Form [V1.2] NSF Deviation Authorization [V1.1] NSF Suggested Reviewers [V1.1] NSF FastLane System Registration [V1.3] |
Packages
| Assistance Listings | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions | Who Can Apply: | |
|---|---|---|---|---|---|---|---|---|
| 47.076 | PKG00183096 | Aug 13, 2013 | Dec 09, 2013 | View | Doris L. Carver | Organization and Individual Applicants |