About
Jennifer Kay, Ph.D., is a Professor in the Department of Computer Science at Rowan University's College of Science & Mathematics. Her work bridges Computer Science Education and Artificial Intelligence, with a focus on Educational Robotics, MOOCs, and Human-Computer Interaction.
- BSE in Computer Science & Engineering (University of Pennsylvania)
- BA in Mathematics (University of Pennsylvania)
- MS & PhD in Computer Science (Carnegie Mellon University)
Her research emphasizes:
- Using Robotics to teach Computational Thinking to novices
- Developing Effective Systems for Learning at Scale (MOOCs)
- Intelligent Software Agents and User Interfaces
- Applications for Elderly populations and Cryptography
Recent publications highlight her work in MOOC assessment methodologies and robotics-based programming education. She has secured grants from Google, iRobot, NSF, and the Institute for Personal Robots in Education.
Key honors include:
- Rowan University Academic Advising Wall of Fame (2016)
- Lindback Award for Distinguished Teaching (2013)
- Best Paper Award at CCSCE (2009)
Dr. Kay has taught foundational courses including Data Structures, Robotics, and Programming Using Robots, while maintaining active memberships in ACM (Senior Member), IEEE (Senior Member), and UPE CS Honor Society.
