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Science Teachers’ Attitudes towards Computational Modeling in the Context of an Inquiry-Based Learning Module
This study focuses on science teachers’ first encounter with computational modeling in professional development workshops. It examines the factors shaping the teachers’ self-efficacy and attitudes towards integrating computational modeling within inquiry-based learning modules for 9th grade physics....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447203/ https://www.ncbi.nlm.nih.gov/pubmed/32863694 http://dx.doi.org/10.1007/s10956-020-09855-3 |
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author | Langbeheim, Elon Perl, David Yerushalmi, Edit |
author_facet | Langbeheim, Elon Perl, David Yerushalmi, Edit |
author_sort | Langbeheim, Elon |
collection | PubMed |
description | This study focuses on science teachers’ first encounter with computational modeling in professional development workshops. It examines the factors shaping the teachers’ self-efficacy and attitudes towards integrating computational modeling within inquiry-based learning modules for 9th grade physics. The learning modules introduce phenomena, the analysis of measurement data, and offer a method for coordinating the experimental findings with a theory-based computational model. Teachers’ attitudes and self-efficacy were studied using survey questions and workshop activity transcripts. As expected, prior experience in physics teaching was related to teachers’ self-efficacy in teaching physics in 9th grade. Also, teachers’ prior experience with programming was strongly related to their self-efficacy regarding the programming component of model construction. Surprisingly, the short interaction with computational modeling increased the group’s self-efficacy, and the average rating of understanding and enjoyment was similar among teachers with and without prior programming experience. Qualitative data provides additional insights into teachers’ predispositions towards the integration of computational modeling into the physics teaching. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10956-020-09855-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7447203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-74472032020-08-26 Science Teachers’ Attitudes towards Computational Modeling in the Context of an Inquiry-Based Learning Module Langbeheim, Elon Perl, David Yerushalmi, Edit J Sci Educ Technol Article This study focuses on science teachers’ first encounter with computational modeling in professional development workshops. It examines the factors shaping the teachers’ self-efficacy and attitudes towards integrating computational modeling within inquiry-based learning modules for 9th grade physics. The learning modules introduce phenomena, the analysis of measurement data, and offer a method for coordinating the experimental findings with a theory-based computational model. Teachers’ attitudes and self-efficacy were studied using survey questions and workshop activity transcripts. As expected, prior experience in physics teaching was related to teachers’ self-efficacy in teaching physics in 9th grade. Also, teachers’ prior experience with programming was strongly related to their self-efficacy regarding the programming component of model construction. Surprisingly, the short interaction with computational modeling increased the group’s self-efficacy, and the average rating of understanding and enjoyment was similar among teachers with and without prior programming experience. Qualitative data provides additional insights into teachers’ predispositions towards the integration of computational modeling into the physics teaching. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10956-020-09855-3) contains supplementary material, which is available to authorized users. Springer Netherlands 2020-08-25 2020 /pmc/articles/PMC7447203/ /pubmed/32863694 http://dx.doi.org/10.1007/s10956-020-09855-3 Text en © Springer Nature B.V. 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Langbeheim, Elon Perl, David Yerushalmi, Edit Science Teachers’ Attitudes towards Computational Modeling in the Context of an Inquiry-Based Learning Module |
title | Science Teachers’ Attitudes towards Computational Modeling in the Context of an Inquiry-Based Learning Module |
title_full | Science Teachers’ Attitudes towards Computational Modeling in the Context of an Inquiry-Based Learning Module |
title_fullStr | Science Teachers’ Attitudes towards Computational Modeling in the Context of an Inquiry-Based Learning Module |
title_full_unstemmed | Science Teachers’ Attitudes towards Computational Modeling in the Context of an Inquiry-Based Learning Module |
title_short | Science Teachers’ Attitudes towards Computational Modeling in the Context of an Inquiry-Based Learning Module |
title_sort | science teachers’ attitudes towards computational modeling in the context of an inquiry-based learning module |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447203/ https://www.ncbi.nlm.nih.gov/pubmed/32863694 http://dx.doi.org/10.1007/s10956-020-09855-3 |
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