# Open-Source Artificial Intelligence Methodology for Generating and Validating K–12 STEM Disposition Measures

**Budget Signal Score:** 40/100

| Field | Value |
|---|---|
| Institution | University of Virginia Main Campus |
| Location | CHARLOTTESVILLE, VA |
| Project | Open-Source Artificial Intelligence Methodology for Generating and Validating K–12 STEM Disposition Measures |
| Award amount | $740,586 |
| Obligated so far | $740,586 |
| Awarded | 2026-08-12 |
| Period | 2026-09-15 to 2029-08-31 |
| Program | Discovery Research K-12 |
| Directorate / division | EDU / EIT |
| Award ID | 2625037 |

## Why this score
- Award of $300K or more.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2625037). Last refreshed: 2026-11-04T18:13:44.963Z.
Award data comes from the NSF Awards API and may be amended by NSF. Institution-level only; investigator contact details are not included. Informational only.