John Stamper
Scholar

John Stamper

Google Scholar ID: VFGDcvoAAAAJ
Human-Computer Interaction Institute, Carnegie Mellon University
Artificial IntelligenceEducational Data MiningIntelligent Tutoring Systems
Citations & Impact
All-time
Citations
2,518
 
H-index
26
 
i10-index
52
 
Publications
20
 
Co-authors
56
list available
Contact
Resume (English only)
Academic Achievements
  • Detect and Remedy Deceptive Overgeneralization in Adaptive Learning (European Conference on Technology Enhanced Learning 2025) - Best Student Paper
  • Integrating Generative AI into Instructional Design Practice: Effects on Graduate Student Learning and Self-Efficacy (European Conference on Technology Enhanced Learning 2025) - Best Paper Nomination
  • AI Literacy For All: 1st International Workshop on AI Literacy Education For All (Artificial Intelligence in Education 2025)
  • LLMs to Support K--12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example (Artificial Intelligence in Education 2025)
  • Deceptive Overgeneralization in Adaptive Learning (International Conference on Artificial Intelligence in Education 2025)
  • Generative AI in Instructional Design Education: Effects on Novice Microlesson Quality (International Conference on Artificial Intelligence in Education 2025)
Research Experience
  • Prior to returning to academia, John spent over ten years in the software industry, including working with several start-ups.
Education
  • PhD in Information Technology from the University of North Carolina at Charlotte, MBA from the University of Cincinnati, and BS in Systems Analysis from Miami University.
Background
  • Associate Professor at the Human-Computer Interaction Institute at Carnegie Mellon University and Technical Director of the Pittsburgh Science of Learning Center DataShop. His primary areas of research include Educational Data Mining and Intelligent Tutoring Systems.