معرفی
Michael Eagle is an Assistant Professor in the Information Sciences and Technology Department at George Mason University, and a founding member of the Center for Advancing Human-Machine Partnership (CAHMP). His work focuses on deriving insights from complex interaction data in intelligent tutors and video games, educational game design, and individualized student modeling in genetics education. He holds a PhD from North Carolina State University (2015) and completed a postdoctoral fellowship at Carnegie Mellon University's HCI Institute until 2018. Prior academic roles include data science positions at Blizzard Entertainment and Warner Bros. Interactive Entertainment.
Research interests include educational data mining, AI-driven pedagogy, and measuring computational thinking through block-based programming environments. He has pioneered frameworks for hypothesis-driven learning analytics and game-based science education. His work bridges traditional computer science with innovative educational technologies, emphasizing real-time analytics and adaptive learning systems.
- Awards: NSF GRFP Honorable Mention, GAANN Fellowship, Freeman-ASIA Grant
- International Collaboration: Conducted NSF-funded research in Japan with University of Electro-Communications
- Labs/Teams: Co-leads CAHMP initiatives at George Mason
Eagle's recent publications emphasize predictive modeling for learner interventions, real-time instructor dashboards, and the impact of AI-powered educational tools. His research demonstrates significant contributions to both theory and practical applications in edtech innovation.
