Faculty Directory
Michael Horn

Professor of Computer Science

Professor of Education and Social Policy

Contact

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

617-803-5501Email Michael Horn

Website

Michael Horn's Homepage

TIDAL Lab


Departments

Computer Science



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Education

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

  • Peel, Amanda; Dabholkar, Sugat; Anton, Gabriella; Horn, Mike; Wilensky, Uri, Characterizing changes in teacher practice and values through co-design and implementation of computational thinking integrated biology units, Computer Science Education (2024).
  • Kuo, Pei Yi Patricia; Horn, Michael S., EcoSanté Lifestyle Intervention, ACM Transactions on Computer-Human Interaction (2023).
  • Chen, John; Lu, Xi; Du, David; Rejtig, Michael; Bagley, Ruth; Horn, Michael S.; Wilensky, Uri J., Learning Agent-based Modeling with LLM Companions, Association for Computing Machinery (2024).
  • Chen, John; Zhao, Lexie; Li, Yinmiao; Xie, Zhennian; Wilensky, Uri J.; Horn, Michael S., “Oh My God! It's Recreating Our Room!” Understanding Children's Experiences with A Room-Scale Augmented Reality Authoring Toolkit, Association for Computing Machinery (2024).
  • Aslan, Umit; Horn, Michael; Wilensky, Uri, Why are some students “not into” computational thinking activities embedded within high school science units? Key takeaways from a microethnographic discourse analysis study, Science Education (2024).
  • Wallace, Izaiah; Horn, Michael, THE STREET CODE PROJECT, Taylor and Francis (2023).
  • Brucker, Maddie; West, Melanie; Horn, Michael, Digital Drum Circles Relational CS Education through Music Making, Association for Computing Machinery, Inc (2023).
  • Roberts, Cameron L.; Horn, Michael S., When Literacies Collide The Role of Translation in Music+Coding Activities, Association for Computing Machinery (2023).
  • Chen, John; Zhao, Lexie; Horn, Michael Stephen; Wilensky, Uri J., The Pocketworld Playground, Association for Computing Machinery, Inc (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).