NSF award 2612707 · University of Virginia Main Campus

Rational Assessment Design in a Disrupted Landscape: Chemistry Instructor Decision-Making in the Age of Generative AI

Final report due

28 January 2030

in 1,198 days · The award ends on 30 September 2029.

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PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2029in 1068 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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So the final report is due by 28 January 2030.

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Award card

Award number: 2612707
Period of support: 1 Oct 2026 – 30 Sep 2029
Amount: $387,628
Awardee: University of Virginia Main Campus, Charlottesville, VA
Program: IUSE
Directorate: EDU

Abstract

This project seeks to serve the national interest by generating foundational knowledge about how chemistry instructors design and adapt assessments in the presence of generative artificial intelligence (AI). Assessment is central to undergraduate chemistry education, serving to measure learning, motivate students, and certify that graduates have mastered essential disciplinary skills. Yet the rapid emergence of…

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