Using Distributed Cognition Theory to Analyze Collaborative Computer Science Learning
Elise Deitrick, R. Benjamin Shapiro, Matthew P. Ahrens, Rebecca Fiebrink, Paul D. Lehrman, Saad Farooq
Zu finden in: ICER 2015 (Seite 51 bis 60), 2015
Research on students' learning in computing typically investigates how to enable individuals to develop concepts and skills, yet many forms of computing education, from peer instruction to robotics competitions, involve group work in which understanding may not be entirely locatable within individuals' minds. We need theories and methods that allow us to understand learning in cognitive systems: culturally and historically situated groups of students, teachers, and tools. Accordingly, we draw on Hutchins' Distributed Cognition  theory to present a qualitative case study analysis of interaction and learning within a small group of middle school students programming computer music. Our analysis shows how a system of students, teachers, and tools, working in a music classroom, is able to accomplish conceptually demanding computer music programming. We show how the system does this by 1) collectively drawing on individuals' knowledge, 2) using the physical and virtual affordances of different tools to organize work, externalize knowledge, and create new demands for problem solving, and 3) reconfiguring relationships between individuals and tools over time as the focus of problem solving changes. We discuss the implications of this perspective for research on teaching, learning and assessment in computing.
Dieses Konferenz-Paper erwähnt...
- ICER 2016 - Proceedings of the 2016 ACM Conference on International Computing Education Research, ICER 2016, Melbourne, VIC, Australia, September 8-12, 2016 (Judy Sheard, Josh Tenenberg, Donald Chinn, Brian Dorn) (2016)
- Learning and Collaboration in Physical Computing (Kayla DesPortes) (2016)
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|Using Distributed Cognition Theory to Analyze Collaborative Computer Science Learning: Fulltext at the ACM Digital Library (: , 1708 kByte; : 2018-09-11)|
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