Engaging With Glucose Equilibrium Mechanistic Accounts: Type 1 Diabetes Case Study

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Abstract

Reasoning about mechanisms is a core of science education, however, more research is needed into the degree of mechanistic details that should be unpacked to support learning. In this study, we analyze two case studies of laypersons with diabetes engaging with agent-based models that represent glucose-equilibrium processes. Our analysis revealed that incomplete mechanistic representations triggered a sense of dissonance but involved strong emotional engagement. Implementations are discussed.

Original languageEnglish
Title of host publicationISLS Annual Meeting 2023
Subtitle of host publicationBuilding Knowledge and Sustaining our Community - 17th International Conference of the Learning Sciences, ICLS 2023, Proceedings
EditorsPaulo Blikstein, Jan Van Aalst, Rita Kizito, Karen Brennan
Pages1743-1744
Number of pages2
ISBN (Electronic)9781737330677
StatePublished - 1 Jan 2023
Event17th International Conference of the Learning Sciences, ICLS 2023 - Montreal, Canada
Duration: 10 Jun 202315 Jun 2023

Publication series

NameComputer-Supported Collaborative Learning Conference, CSCL

Conference

Conference17th International Conference of the Learning Sciences, ICLS 2023
Country/TerritoryCanada
CityMontreal
Period10/06/2315/06/23

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Education

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