Faculty Directory
Michael Horn

Professor of Computer Science

Professor of Education and Social Policy


2120 Campus Drive
Annenberg Room 336
Evanston, IL 60208-3109

617-803-5501Email Michael Horn


Michael Horn's Homepage



Computer Science

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Ph.D. Computer Science, Tufts University, Medford/Somerville, MA

M.S. Computer Science, Tufts University, Medford/Somerville, MA

B.S. Computer Science, Brown University, Providence, Rhode Island

Research Interests

Michael S. Horn is a Professor at Northwestern University with a joint appointment in Computer Science and the Learning Sciences. Michael's research explores the use of emerging interactive technology in the design of novel learning experiences. His projects include the design and evaluation of a tangible computer programming language for use in science museums and early elementary school classrooms; and the design of multi-touch tabletop exhibits for use in natural history museums. His most recent work has involved the design of a learning platform to support digital music production and computational literacy for middle school and high school students.

Selected Publications

  • Roberts, Cameron L.; Horn, Michael S., When Literacies Collide The Role of Translation in Music+Coding Activities, Association for Computing Machinery (2023).
  • Horn, Mike; Banerjee, Amartya; Brucker, Matthew, TunePad Playbooks, Association for Computing Machinery (2022).
  • Polinsky, Naomi; Andrus, Brian; Horn, Michael; Uttal, David, Symbolic Relations in Collaborative Coding, Association for Computing Machinery, Inc:294-304 (2021).
  • Obiorah, Mmachi God Sglory; Piper, Anne Marie; Horn, Michael, Designing aacs for people with aphasia dining in restaurants, Association for Computing Machinery (2021).
  • Kelter, Jacob; Peel, Amanda; Bain, Connor; Anton, Gabriella; Dabholkar, Sugat; Horn, Michael S.; Wilensky, Uri, Constructionist co-design, British Journal of Educational Technology 52(3):1043-1059 (2021).
  • McKlin, Tom; McCall, Lauren; Lee, Taneisha; Magerko, Brian; Horn, Michael; Freeman, Jason, Leveraging Prior Computing and Music Experience for Situational Interest Formation, Association for Computing Machinery, Inc:928-933 (2021).
  • Horn, Michael S.; Banerjee, Amartya; West, Melanie, Music and coding as an approach to a broad-based computational literacy, Springer Science and Business Media Deutschland GmbH:83-97 (2020).
  • Horn, Michael S.; Banerjee, Amartya; Bar-El, David; Wallace, Izaiah Hakim, Engaging families around museum exhibits, Association for Computing Machinery, Inc:556-566 (2020).
  • Horn, Michael Stephen; Bers, Marina U., Tangible Computing, Cambridge University Press:663-678 (2019).
  • Horn, Michael Stephen; Schelhowe, Heidi, 2018 Edith Ackermann award-Bildungsmedien, Association for Computing Machinery, Inc:11-14 (2019).
  • Horn, Michael S., Tangible Interaction and Cultural Forms, Journal of the Learning Sciences 27(4):632-665 (2018).
  • Roberts, Jessica; Banerjee, Amartya; Hong, Annette; McGee, Steven M; Horn, Michael; Matcuk, Matt, Digital exhibit labels in museums, Association for Computing Machinery (2018).
  • Leong, Zeina Atrash; Horn, Michael Stephen; Thaniel, Lisa; Meier, Emily, Inspiring AWE, Association for Computing Machinery (2018).
  • Diamond, Judy; Horn, Michael Stephen; Uttal, David H, Practical Evaluation Guide, Rowman & Littlefield Publishers, Inc. (2016).
  • Horn, Michael S.; Phillips, Brenda C.; Evans, Evelyn Margaret; Block, Florian; Diamond, Judy; Shen, Chia, Visualizing biological data in museums, Journal of Research in Science Teaching 53(6):895-918 (2016).
  • Weintrop, David; Beheshti, Elham; Horn, Michael; Orton, Kai; Jona, Kemi; Trouille, Laura; Wilensky, Uri, Defining Computational Thinking for Mathematics and Science Classrooms, Journal of Science Education and Technology 25(1):127-147 (2016).