Learning and collaboration in physical computing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

My research expands our understanding of CS education in the context of physical computing. Specifically I examine how the tools used when creating physical computing projects affect how students work and learn. Using distributed cognition (DCog) within a classroom environment, I will investigate the effect that information representation has on students' conceptions of CS and electronics. These explorations will be complemented by an application of cognitive load theory (CLT) to understand the difficulty of physical computing tasks and the effect tools have on the load students experience. Completion of this work will uncover mistakes and misconceptions students have in physical computing and highlight ways to effectively design tools for novice learners.

Original languageEnglish (US)
Title of host publicationICER 2016 - Proceedings of the 2016 ACM Conference on International Computing Education Research
PublisherAssociation for Computing Machinery, Inc
Pages283-284
Number of pages2
ISBN (Electronic)9781450344494
DOIs
StatePublished - Aug 25 2016
Event12th Annual International Computing Education Research Conference, ICER 2016 - Melbourne, Australia
Duration: Sep 8 2016Sep 12 2016

Publication series

NameICER 2016 - Proceedings of the 2016 ACM Conference on International Computing Education Research

Other

Other12th Annual International Computing Education Research Conference, ICER 2016
Country/TerritoryAustralia
CityMelbourne
Period9/8/169/12/16

Keywords

  • Cognitive Load Theory
  • Distributed Cognition
  • Physical Computing

ASJC Scopus subject areas

  • Computer Science Applications
  • Computational Theory and Mathematics
  • Software
  • Education

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