Diagnosis of misconceptions with coherent underlying structure in learning diffusion

Man Su, J. Yohan Cho, Brandon Vanbibber, Jesse Ha, Michelene Chi

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

Abstract

This classroom study, involving 149 high school students, investigates structure, coherence and frequencies of misconceptions students have while learning diffusion via a simulation. The results show that misconceptions are not random ideas, but rather have underlying structures and can be systematically characterized by the PAIR-C framework, which aims to help students understand the nature of emergent processes embedded in their school curricula. The article concludes with a discussion of implications to foster deeper understanding of misconceptions from a systematic, structured perspective.

Original languageEnglish (US)
Title of host publication14th International Conference of the Learning Sciences
Subtitle of host publicationThe Interdisciplinarity of the Learning Sciences, ICLS 2020 - Conference Proceedings
EditorsMelissa Gresalfi, Ilana Seidel Horn
PublisherInternational Society of the Learning Sciences (ISLS)
Pages2321-2324
Number of pages4
ISBN (Electronic)9781732467286
StatePublished - 2020
Event14th International Conference of the Learning Sciences: The Interdisciplinarity of the Learning Sciences, ICLS 2020 - Nashville, United States
Duration: Jun 19 2020Jun 23 2020

Publication series

NameComputer-Supported Collaborative Learning Conference, CSCL
Volume4
ISSN (Print)1573-4552

Conference

Conference14th International Conference of the Learning Sciences: The Interdisciplinarity of the Learning Sciences, ICLS 2020
Country/TerritoryUnited States
CityNashville
Period6/19/206/23/20

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Education

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