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Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment
Computational Thinking (CT) can play a central role in fostering students’ integrated learning of science and engineering. We adopt this framework to design and develop the Water Runoff Challenge (WRC) curriculum for lower middle school students in the USA. This paper presents (1) the WRC curriculum...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334156/ http://dx.doi.org/10.1007/978-3-030-52237-7_48 |
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author | Zhang, Ningyu Biswas, Gautam McElhaney, Kevin W. Basu, Satabdi McBride, Elizabeth Chiu, Jennifer L. |
author_facet | Zhang, Ningyu Biswas, Gautam McElhaney, Kevin W. Basu, Satabdi McBride, Elizabeth Chiu, Jennifer L. |
author_sort | Zhang, Ningyu |
collection | PubMed |
description | Computational Thinking (CT) can play a central role in fostering students’ integrated learning of science and engineering. We adopt this framework to design and develop the Water Runoff Challenge (WRC) curriculum for lower middle school students in the USA. This paper presents (1) the WRC curriculum implemented in an integrated computational modeling and engineering design environment and (2) formative and summative assessments used to evaluate learner’s science, engineering, and CT skills as they progress through the curriculum. We derived a series of performance measures associated with student learning from system log data and the assessments. By applying Path Analysis we found significant relations between measures of science, engineering, and CT learning, indicating that they are mutually supportive of learning across these disciplines. |
format | Online Article Text |
id | pubmed-7334156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73341562020-07-06 Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment Zhang, Ningyu Biswas, Gautam McElhaney, Kevin W. Basu, Satabdi McBride, Elizabeth Chiu, Jennifer L. Artificial Intelligence in Education Article Computational Thinking (CT) can play a central role in fostering students’ integrated learning of science and engineering. We adopt this framework to design and develop the Water Runoff Challenge (WRC) curriculum for lower middle school students in the USA. This paper presents (1) the WRC curriculum implemented in an integrated computational modeling and engineering design environment and (2) formative and summative assessments used to evaluate learner’s science, engineering, and CT skills as they progress through the curriculum. We derived a series of performance measures associated with student learning from system log data and the assessments. By applying Path Analysis we found significant relations between measures of science, engineering, and CT learning, indicating that they are mutually supportive of learning across these disciplines. 2020-06-09 /pmc/articles/PMC7334156/ http://dx.doi.org/10.1007/978-3-030-52237-7_48 Text en © Springer Nature Switzerland AG 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 Zhang, Ningyu Biswas, Gautam McElhaney, Kevin W. Basu, Satabdi McBride, Elizabeth Chiu, Jennifer L. Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment |
title | Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment |
title_full | Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment |
title_fullStr | Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment |
title_full_unstemmed | Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment |
title_short | Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment |
title_sort | studying the interactions between science, engineering, and computational thinking in a learning-by-modeling environment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334156/ http://dx.doi.org/10.1007/978-3-030-52237-7_48 |
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