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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...

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Autores principales: Zhang, Ningyu, Biswas, Gautam, McElhaney, Kevin W., Basu, Satabdi, McBride, Elizabeth, Chiu, Jennifer L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
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.
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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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