Matthew Berland

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Matthew Berland

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Matthew Berland

Associate Professor
Curriculum and Instruction (CI)

144E Teacher Education Building  binoculars icon
225 North Mills Street
Madison, WI 53706
Office: 608/263-7379
Curriculum Vitae

Personal Biography

Matthew Berland is an Associate Professor of Design, Creative, and Informal Education in the Department of Curriculum and Instruction at UW–Madison and Affiliate Faculty in Information Studies, Computer Sciences, Educational Psychology, and Science/Technology Studies. He uses design-based research to create and analyze tools and learning environments that support students' creative agency and computational literacies. His projects are designed to better understand how students learn complex skills and understandings through mixed methods including learning analytics, data mining, and constructionist design research. Berland holds a Ph.D. from Northwestern University, and he is the founder and director of both the Complex Play Lab and the UW Game Design Program.


Ph D, Learning Sciences (Focus: Computer Science), Cognitive Science, Computer Science
Northwestern University
Evanston, IL

AB, Computer Science; Modern Culture & Media
Brown University
Providence, RI


  • Berland, M. (2017). Constructivist Analytics: Using Data to Enable Deeper Museum Experiences for More Visitors—Lessons from the Learning Sciences. Visitor Studies. 20(1), 3-9.
    Online Publication/Abstract
  • Berland, M., & Duncan, S. (2016). Computational thinking in the wild: Uncovering complex collaborative thinking through gameplay. Educational Technology. 56(3), 29-35.
  • Berland, M., Davis, D., & Smith, C.P. (2015). AMOEBA: Designing for collaboration in computer science classrooms through live learning analytics. International Journal of Computer-Supported Collaborative Learning. 10(4), 425-447.
    Online Publication/Abstract
  • Berland, M., & Wilensky, U. (2015). Comparing Virtual and Physical Robotics Environments for Supporting Complex Systems and Computational Thinking. Journal of Science Education and Technology. 24(5), 628-647.
    Online Publication/Abstract
  • Berland, M., Baker, R., & Blikstein, P. (2014). Educational Data Mining and Learning Analytics: Applications to Constructionist Research. Technology, Knowledge and Learning. 19(1), 205-220.
    Online Publication/Abstract
  • Berland, M., Martin, T., Benton, T., & Petrick Smith, C. (2013). Using Learning Analytics to Understand the Learning Pathways of Novice Programmers. Journal of the Learning Sciences. 22(4), 564-599.
    Online Publication/Abstract
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