# Collaborative Research: Using Large Language Models to Provide More Dynamic and Effective Learning Support in a Digital Learning Game

**Budget Signal Score:** 40/100

| Field | Value |
|---|---|
| Institution | Carnegie Mellon University |
| Location | PITTSBURGH, PA |
| Project | Collaborative Research: Using Large Language Models to Provide More Dynamic and Effective Learning Support in a Digital Learning Game |
| Award amount | $442,299 |
| Obligated so far | $442,299 |
| Awarded | 2026-08-11 |
| Period | 2026-09-01 to 2028-08-31 |
| Program | Discovery Research K-12 |
| Directorate / division | EDU / EIT |
| Award ID | 2611049 |

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

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2611049). 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.