NSF award 2506612 · University of California-San Diego

Towards a Large Language Model-based Smart Learning Hub for Computing Education

Final report due

28 January 2029

in 833 days · The award ends on 30 September 2028.

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Decide about an extension2 Jun 2028in 593 days
award ending 2028-09-30 · Research.gov
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Extension request16 Aug 2028in 668 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2028in 703 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2029in 833 days
award ending 2028-09-30 · 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 30 September 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2029.

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Award card

Award number: 2506612
Period of support: 1 Oct 2025 – 30 Sep 2028
Amount: $900,000
Awardee: University of California-San Diego, LA Jolla, CA
Program: Cyberlearn & Future Learn Tech
Directorate: EDU

Abstract

Research shows that effective personalized feedback helps students feel more engaged and persist in computer science. Furthermore, having access to help as soon as a student is confused can help both student engagement and learning. Artificial Intelligence (AI) and Large Language Models (LLMs) show promise toward providing customized help in a way that is accessible to students in a timely fashion. However, more…

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