Unpacking social factors in Mechanistic reasoning (or, why a wealthy person is not exactly like a grey squirrel)

Arthur Hjorth, Christina Krist

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

Abstract

Mechanistic reasoning in social domains is understudied. We speculate that the ways that students reason about social phenomena share enough similarities with how they reason about physical and life sciences that we can use existing work on mechanistic reasoning to characterize students' explanations of social phenomena. We apply an existing framework for analyzing student reasoning about life sciences to students' explanations of a social phenomenon relating to urban planning. In comparing these analyses, we propose a component of student reasoning that may be specific to reasoning about social phenomena: social factor backing. We show that incorporating this component into the existing framework providers a fuller account of our data. Finally, we discuss why we think this element could be important for future studies of students' mechanistic reasoning about social phenomena.

Original languageEnglish (US)
Title of host publication12th International Conference of the Learning Sciences, ICLS 2016
Subtitle of host publicationTransforming Learning, Empowering Learners, Proceedings
EditorsChee-Kit Looi, Joseph L. Polman, Peter Reimann, Ulrike Cress
PublisherInternational Society of the Learning Sciences (ISLS)
Pages894-897
Number of pages4
Volume2
ISBN (Electronic)9780990355083
StatePublished - Jan 1 2016
Externally publishedYes
Event12th International Conference of the Learning Sciences: Transforming Learning, Empowering Learners, ICLS 2016 - Singapore, Singapore
Duration: Jun 20 2016Jun 24 2016

Other

Other12th International Conference of the Learning Sciences: Transforming Learning, Empowering Learners, ICLS 2016
CountrySingapore
CitySingapore
Period6/20/166/24/16

Keywords

  • Mechanistic reasoning
  • Science education
  • Social science education

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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