Adam Gaweda

Adam Gaweda is an Assistant Teaching Professor in the Department of Computer Science at North Carolina State University. His research focuses on applying artificial intelligence to computer science education, with current work on improving lower-level computer science exercises and deliberate practice methods for students.

His educational background includes:

• Ph.D. in Computer Science from North Carolina State University (2023)
• M.S. in Computer Science from University of North Carolina Wilmington (2016)
• B.S. in Computer Science from University of North Carolina Wilmington (2013)
• B.A. in Theatre – Performance from University of North Carolina Wilmington (2013)

Gaweda's research spans two main areas: computer science education and biometrics. His current work centers on developing AI-driven tools for computer science education, particularly in creating exercises that promote deliberate practice and using nudge theory to encourage student practice. Earlier, he explored biometric identification using facial dynamics and artificial face aging. His expertise includes artificial intelligence, intelligent agents, and educational technology.

Analysis of his recent publications (2021-2023) reveals a strong focus on computer science education, especially the application of the ICAP framework (Interactive, Constructive, Active, Passive) to model student engagement. His work often involves designing platforms like TYPOS for typing exercises and studying collaborative coding camps for elementary students. The research integrates behavioral science (nudge theory) and learning theory to enhance student outcomes in programming courses.

Prior to joining NC State, he served as the Lead Software Development Instructor at Cape Fear Community College and worked as a Systems Analyst and Research Developer for Efficient Energy Technology, a smart-thermostat company in Leland, North Carolina.