Abstract & Details
Description
Award ID: 2627536
This FINDERS Foundry award supports the creation of an AI-enabled dashboard that helps middleschool students stay engaged during science lessons by improving communication between teachers and families. Students often lose motivation as science becomes harder, and adults do not always know when support is needed. This project will design an AIenabled dashboard that shows realtime insights into how students are feeling and participating. The tool will help teachers notice changes in motivation and help families understand how to encourage their children at home. Codesigned sessions with teachers, parents, and students will guide the dashboard so it is clear, respectful, and helpful. By giving adults timely information, the project aims to help students stay confident, persistent, and connected during an important stage of their science education. This FINDERS Foundry award aims to translate students in-the-moment motivational experiences into meaningful insights through an integrated AI dashboard system. The dual integration features teacher and parentfacing views supported by an AIinterpretation layer that transforms studentfeedback data into actionable instructional insights. The project will investigate responsible datacollection and sharing practices, focusing on how motivational indicators can be presented in developmentally appropriate and pedagogically meaningful ways. Codesigned sessions with educators, students, and families will inform the creation of metrics, user requirements, and prototype interfaces aligned with science standards. Technical outputs will include wireframes, a feasibility memo, and early design principles that guide future development of scalable systems aimed at strengthening student motivation and broadening participation in STEM. The planning phase will lay the groundwork for a coherent, ethically grounded analytics platform that connects classroom and home learning. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
NSF Program Director: Lindsay Portnoy
This FINDERS Foundry award supports the creation of an AI-enabled dashboard that helps middleschool students stay engaged during science lessons by improving communication between teachers and families. Students often lose motivation as science becomes harder, and adults do not always know when support is needed. This project will design an AIenabled dashboard that shows realtime insights into how students are feeling and participating. The tool will help teachers notice changes in motivation and help families understand how to encourage their children at home. Codesigned sessions with teachers, parents, and students will guide the dashboard so it is clear, respectful, and helpful. By giving adults timely information, the project aims to help students stay confident, persistent, and connected during an important stage of their science education. This FINDERS Foundry award aims to translate students in-the-moment motivational experiences into meaningful insights through an integrated AI dashboard system. The dual integration features teacher and parentfacing views supported by an AIinterpretation layer that transforms studentfeedback data into actionable instructional insights. The project will investigate responsible datacollection and sharing practices, focusing on how motivational indicators can be presented in developmentally appropriate and pedagogically meaningful ways. Codesigned sessions with educators, students, and families will inform the creation of metrics, user requirements, and prototype interfaces aligned with science standards. Technical outputs will include wireframes, a feasibility memo, and early design principles that guide future development of scalable systems aimed at strengthening student motivation and broadening participation in STEM. The planning phase will lay the groundwork for a coherent, ethically grounded analytics platform that connects classroom and home learning. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
NSF Program Director: Lindsay Portnoy
| Status | Active |
|---|---|
| Effective start/end date | 07/15/26 → 09/30/26 |
Active Fiscal Year
- FY2026
Start Fiscal Year
- FY2026
TIP Programs
- (FF) FINDERS FOUNDRY
Key Technology Areas
- Artificial Intelligence
- (confidence score: 95%)
Technology Foci
- Machine Learning Training Data
- (confidence score: 96%)
- Artificial Intelligence (excluding ML)
- (confidence score: 93%)
Congressional District at Award
- District n. 01 of Nevada
Current Congressional District
- District n. 01 of Nevada
United States
- Nevada
Core Based Statistical Area (CBSA)
- Las Vegas-Henderson-North Las Vegas, NV
County
- County: Clark, NV
EPSCoR Jurisdiction
- Yes
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