research / ct-agent
Scaffolding Computational Thinking in Introductory Computer Science through a Conversational Agent
A conversational agent that scaffolds computational thinking for students in introductory programming courses.
| Funding | NSF HSI #2236198 |
|---|---|
| Amount | USD 420.9K |
| Period | 2023–current |
About
In this research line, we aim to understand the new advances in Large Language Models and how we can leverage it to create a better learning experience for students. By means of developing tools on top of existing models, and conducting series of experiements, we aim to provide guidelines and infrastructure that benefit instructors and students durint the teaching-learning process.
Team
- Igor Steinmacher — Associate Professor · Director
- Marco Gerosa — Professor · Co-director
- Jacob Penney — PhD student
- João Correia — Former PhD Visiting Intern
- Daniel Coutinho — Former PhD Visiting Intern
- Katia Romero Felizardo — Former Visiting Scholar
- Caio Vieira — Former PhD Visiting Intern
- Bianca Trinkenreich — PhD alumnus
- Italo Santos — PhD alumnus
- João Felipe Pimentel — Former Postdoctoral Scholar
Publications
2025
2024
2023
News and presentations
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