Leo Ureel, assistant professor of computer science, is the principal investigator of a $599,732 research and development grant from the National Science Foundation. The project, “Rich, Immediate Critique of Antipatterns (RICA) in Novice Programmer Code: Broadening Adoption, Supporting Student Learning, and Enhancing Programming Competencies,” aims to develop a system that will automatically detect coding mistakes and provide immediate, high-quality feedback to students in introductory programming classes.
“Providing feedback in a timely manner using human graders is often difficult due to rapidly increasing class sizes and instructor shortages,” says Ureel. “Immediate feedback to students significantly improves learning outcomes and results.”