Engineering Students' Thinking About Technical Systems: An Ontological Categories Approach
This paper aims at identifying ontological categories as higher-order knowledge structures that underlie engineering students' thinking about technical systems. Derived from interviews, these ontological categories include, inter alia, a focus on the behavior, structure, or purpose of a technic...
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2020-05-01
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Online Access: | https://www.frontiersin.org/article/10.3389/feduc.2020.00066/full |
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doaj-eeb72a17aa3343a09dd81dd24d22978d2020-11-25T03:18:13ZengFrontiers Media S.A.Frontiers in Education2504-284X2020-05-01510.3389/feduc.2020.00066513752Engineering Students' Thinking About Technical Systems: An Ontological Categories ApproachSarah Isabelle Hofer0Frank Reinhold1Frieder Loch2Birgit Vogel-Heuser3TUM School of Education, Technical University of Munich, Munich, GermanyTUM School of Education, Technical University of Munich, Munich, GermanyDepartment of Mechanical Engineering, Institute of Automation and Information Systems, Technical University of Munich, Munich, GermanyDepartment of Mechanical Engineering, Institute of Automation and Information Systems, Technical University of Munich, Munich, GermanyThis paper aims at identifying ontological categories as higher-order knowledge structures that underlie engineering students' thinking about technical systems. Derived from interviews, these ontological categories include, inter alia, a focus on the behavior, structure, or purpose of a technical system. We designed and administered a paper-based test to assess these ontological categories in a sample of N = 340 first-year students in different engineering disciplines. Based on their activation patterns across ontological categories, students clustered into six different ontological profiles. Study program, gender as well as objective and self-perceived cognitive abilities were associated with differences in jointly activated ontological categories. Additional idiosyncratic influences and experiences, however, seemed to play a more important role. Our results can inform university instruction and support successful co-operation in engineering.https://www.frontiersin.org/article/10.3389/feduc.2020.00066/fullconceptual knowledgeontologiesengineering educationhigher educationcluster analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sarah Isabelle Hofer Frank Reinhold Frieder Loch Birgit Vogel-Heuser |
spellingShingle |
Sarah Isabelle Hofer Frank Reinhold Frieder Loch Birgit Vogel-Heuser Engineering Students' Thinking About Technical Systems: An Ontological Categories Approach Frontiers in Education conceptual knowledge ontologies engineering education higher education cluster analysis |
author_facet |
Sarah Isabelle Hofer Frank Reinhold Frieder Loch Birgit Vogel-Heuser |
author_sort |
Sarah Isabelle Hofer |
title |
Engineering Students' Thinking About Technical Systems: An Ontological Categories Approach |
title_short |
Engineering Students' Thinking About Technical Systems: An Ontological Categories Approach |
title_full |
Engineering Students' Thinking About Technical Systems: An Ontological Categories Approach |
title_fullStr |
Engineering Students' Thinking About Technical Systems: An Ontological Categories Approach |
title_full_unstemmed |
Engineering Students' Thinking About Technical Systems: An Ontological Categories Approach |
title_sort |
engineering students' thinking about technical systems: an ontological categories approach |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Education |
issn |
2504-284X |
publishDate |
2020-05-01 |
description |
This paper aims at identifying ontological categories as higher-order knowledge structures that underlie engineering students' thinking about technical systems. Derived from interviews, these ontological categories include, inter alia, a focus on the behavior, structure, or purpose of a technical system. We designed and administered a paper-based test to assess these ontological categories in a sample of N = 340 first-year students in different engineering disciplines. Based on their activation patterns across ontological categories, students clustered into six different ontological profiles. Study program, gender as well as objective and self-perceived cognitive abilities were associated with differences in jointly activated ontological categories. Additional idiosyncratic influences and experiences, however, seemed to play a more important role. Our results can inform university instruction and support successful co-operation in engineering. |
topic |
conceptual knowledge ontologies engineering education higher education cluster analysis |
url |
https://www.frontiersin.org/article/10.3389/feduc.2020.00066/full |
work_keys_str_mv |
AT sarahisabellehofer engineeringstudentsthinkingabouttechnicalsystemsanontologicalcategoriesapproach AT frankreinhold engineeringstudentsthinkingabouttechnicalsystemsanontologicalcategoriesapproach AT friederloch engineeringstudentsthinkingabouttechnicalsystemsanontologicalcategoriesapproach AT birgitvogelheuser engineeringstudentsthinkingabouttechnicalsystemsanontologicalcategoriesapproach |
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