David Shaffer

Data Philosopher

David Williamson Shaffer is the Vilas Distinguished Achievement Professor of Learning Science at the University of Wisconsin-Madison in the Department of Educational Psychology, the Obel Foundation Professor of Learning Analytics, and a Data Philosopher at the Wisconsin Center for Education Research. He is the author of How Computer Games Help Children Learn, and Quantitative Ethnography.

Curriculum Vitae

Contact Information

Phone: (608) 890-3443
Office: 499B Ed Sciences

Current Projects

AISL: Local Environmental Modeling: A Toolkit for Incorporating Place-Based Learning into Virtual Internships - A Scalable, Informal STEM Learning Environment
ECR: Assessing Complex Collaborative STEM Learning at Scale with Epistemic Network Analysis

Completed Projects

CAREER: Alternate Routes to Technology and Science (ARTS)
AutoMentor: Virtual Mentoring and Assessment in Computer Games for STEM Learning
EAGER Proposal for Research in Measurement and Modeling: Dynamic STEM Assessment through Epistemic Network Analysis
REU Supplement to EAGER Proposal for Research in Measurement and Modeling: Dynamic STEM Assessment Through Epistemic Network Analysis
TUES-Type 2: First Year Virtual Internships to Increase Persistence of Underrepresented Groups in Engineering: RescuShell and its parent company RescuTek
DIP: Examining the Potential for Synergy or Negative Transfer when Students Learn from Multiple STEM Learning Games
Using a Virtual Engineering Internship to Model the Complexity of Engineering Design Problems
Measuring Complex STEM Thinking Using Epistemic Network Analysis
Collaborative Research: Research Initiation Grants in Engineering Education: Development of Innovation Capacity in Engineering Students Through Virtual Internships
Virtual Engineering Internships for High School Students in Long Beach Unified School District
DRK-12: Developing and Testing the Internship-inator, a Virtual Internship in STEM Authorware System
Exploring the Potential of Virtual Internships for Civic and Media Education
Collaborative Research & Development Effort on Generalized Intelligent Framework for Tutoring (GIFT)