NSF award 2625037 · University of Virginia Main Campus

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

Final report due

29 December 2029

in 1,168 days · The award ends on 31 August 2029.

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Decide about an extension3 May 2029in 928 days
award ending 2029-08-31 · Research.gov
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Extension request17 Jul 2029in 1003 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2029in 1038 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2029in 1168 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2029in 1168 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2029in 1168 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 August 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2029.

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Award card

Award number: 2625037
Period of support: 15 Sep 2026 – 31 Aug 2029
Amount: $740,586
Awardee: University of Virginia Main Campus, Charlottesville, VA
Program: Discovery Research K-12
Directorate: EDU

Abstract

Reliable and valid surveys are essential for understanding students’ confidence, identity, beliefs, and attitudes toward science, technology, engineering, and mathematics (STEM). However, developing and testing high-quality survey items is often slow, expensive, and difficult. This project will develop AI-GENIE-Edu, an open and reproducible system that uses artificial intelligence (AI) and modern measurement methods…

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