NSF award 2551554 · Carnegie Mellon University

CER: Teaching Programmers When to Rely on Artificial Intelligence: Building and Measuring Automation Judgment

Final report due

28 January 2031

in 1,563 days · The award ends on 30 September 2030.

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award ending 2030-09-30 · Research.gov
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Extension request16 Aug 2030in 1398 days
award ending 2030-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2030in 1433 days
award ending 2030-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2031in 1563 days
award ending 2030-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2031in 1563 days
award ending 2030-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2031in 1563 days
award ending 2030-09-30 · 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 2031.

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Award card

Award number: 2551554
Period of support: 1 Oct 2026 – 30 Sep 2030
Amount: $800,000
Awardee: Carnegie Mellon University, Pittsburgh, PA
Program: CER-ComputingEducationResearch
Directorate: CSE

Abstract

Software is increasingly written with the help of artificial intelligence (AI). New AI tools can generate computer code, explain it, and help find mistakes. These tools are powerful, but their suggestions are not always correct. People who lean on them too heavily can stop noticing errors, lose track of how their own software works, or fail to build the basic skills they need. The most important ability for the next…

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