Christopher D. Hundhausen

Christopher D. Hundhausen is a Professor in the School of Electrical Engineering and Computer Science at Washington State University, with a distinguished career spanning over 25 years in computing education research. His work bridges computer science education, human-computer interaction, and learning analytics, focusing on innovative pedagogical approaches for teaching programming and software engineering.

Dr. Hundhausen's research interests center on studio-based learning models, algorithm visualization, and the design of educational programming environments that promote social interaction and reflection. He has pioneered approaches for using activity streams, code reviews, and learning analytics to enhance computing education. His recent work investigates the impact of AI tools like GitHub Copilot on student programming processes and outcomes, representing the cutting edge of computing education research.

Analysis of his recent publications reveals a strong focus on team software development education, with particular attention to agile practices, retrospective analysis, and methods for assessing individual contributions in team projects. His work consistently applies rigorous empirical methods to evaluate educational interventions in authentic classroom settings.

Dr. Hundhausen has received recognition through consistent publication in top-tier venues including SIGCSE, ICER, and VL/HCC, with over 100 publications spanning from the mid-1990s to upcoming 2025 publications. His research has evolved from foundational work on algorithm visualization to contemporary studies on AI in education, demonstrating remarkable adaptability to emerging technologies while maintaining focus on core educational principles.

He has advised numerous graduate students who have become active researchers in computing education, including Adam S. Carter, Phillip T. Conrad, and Daniel M. Olivares. His collaborative network includes prominent researchers across multiple institutions, reflecting his significant standing in the computing education community. His research has been supported by various grants focused on improving computing education through evidence-based practices and technological innovation.