معرفی
Bradford Mott is a Senior Research Scientist at the Center for Educational Informatics and Adjunct Assistant Professor in the Department of Computer Science at North Carolina State University. He specializes in artificial intelligence and human-computer interaction, with a focus on educational technologies, game-based learning environments, and intelligent tutoring systems.
- Ph.D., Computer Science (2006)
- M.C.S., Computer Science (1996)
- B.S., Computer Engineering (1994)
- B.S., Computer Science (1994)
Dr. Mott’s research explores the intersection of AI and education, particularly through game-based learning systems. His work includes developing tools for stealth assessment in games, natural language processing for student-agent interactions, and computational thinking frameworks for upper elementary science education. Recent projects focus on collaborative problem-solving analytics and adaptive feedback mechanisms in synthetic training environments.
His publications highlight trends in AI-driven educational environments, including collaborative game-based learning, epistemic dialogue modeling, and scaffolded AI education. These works align with broader themes in computer science education, learning analytics, and interactive narrative technologies.
- Best Paper Award – AIIDE (2011)
- Editor’s Choice Award – IGN (2003)
- Game of the Year Award – GameSpot (2002)
- Best Student Paper – EDM (2020)
- James Chen Best Student Paper – UMAP (2013)
Dr. Mott has led major NSF-funded initiatives like INSIGHT (AI-Driven Classroom Assistant) and PrimaryAI (AI integration in elementary science). He has also developed open-source tools such as the Stella Atari 2600 Emulator and Flare Unity UI toolkit, contributing significantly to both academic research and industry software development.
