Dan Carpenter

Dan Carpenter is a Research Scientist and Assistant Director for the NSF AI Institute for Engaged Learning at North Carolina State University's Department of Computer Science. His work bridges artificial intelligence with educational technology, focusing on adaptive learning environments and behavioral modeling.

Education

• Ph.D., Computer Science (2023), North Carolina State University
• M.S., Computer Science (2021), North Carolina State University
• B.S., Computer Science and Mathematics (2014-2018), Siena College

Research Interests

Dan’s research explores AI-driven educational tools, including:

• Adaptive narrative-centered learning environments
• Machine learning for self-regulatory behavior analysis (goal setting, planning, reflection)
• Natural language processing in collaborative learning contexts

His work emphasizes real-time analytics and multimodal data integration.

Publications Overview

Dan’s publications (2020–2023) focus on AI applications in educational games, with recurring themes of:

• Stealth assessment and behavioral modeling
• Multi-task and multi-label learning
• Procedural generation and dialogue analysis

His research often combines NLP techniques with game analytics to enhance learning outcomes.