CAREER: Orchestrating Generative AI-based Agents for Personalized and Scalable Computing E — NSF Award to Texas A&M Engineering Ex
Computing education is growing rapidly, yet instructors often struggle to provide timely and personalized feedback to large numbers of students. Generative artificial intelligence (AI) has the potential to support learning, but students may rely on it in ways that limit deep understanding, while instructors often lack
| Award title | CAREER: Orchestrating Generative AI-based Agents for Personalized and Scalable Computing E |
|---|---|
| Award ID | 2540315 |
| Awardee | Texas A&M Engineering Experiment Station |
| City | COLLEGE STATION |
| State | TX |
| Amount obligated | $383,884 |
| Principal investigator | Meng Xia |
| Program | CER-ComputingEducationResearch |
| Start date | 06/01/2026 |
| Abstract | Computing education is growing rapidly, yet instructors often struggle to provide timely and personalized feedback to large numbers of students. Generative artificial intelligence (AI) has the potential to support learning, but students may rely on it in ways that limit deep understanding, while instructors often lack visibility into how it is used. This project investigates how to combine AI capabilities with human guidance to support effective and responsible learning in computing classroom se |
| Source | NSF Awards |
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