Cargando…

Development and evaluation of granular simulation for integrating computational thinking into computational physics courses

Computational thinking (CT) is an essential skill in the twenty-first century. The computational physics course (CPC) is one subject that is designed to support students in the practice of CT. Many studies show that the worksheets could be a solution in a CPC as a scaffold to achieve the CT objectiv...

Descripción completa

Detalles Bibliográficos
Autores principales: Muliyati, Dewi, Sumardani, Dadan, Siswoyo, Siswoyo, Bakri, Fauzi, Permana, Handjoko, Handoko, Erfan, Sari, Ni Larasati Kartika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391866/
https://www.ncbi.nlm.nih.gov/pubmed/34466125
http://dx.doi.org/10.1007/s10639-021-10724-8
_version_ 1783743372624658432
author Muliyati, Dewi
Sumardani, Dadan
Siswoyo, Siswoyo
Bakri, Fauzi
Permana, Handjoko
Handoko, Erfan
Sari, Ni Larasati Kartika
author_facet Muliyati, Dewi
Sumardani, Dadan
Siswoyo, Siswoyo
Bakri, Fauzi
Permana, Handjoko
Handoko, Erfan
Sari, Ni Larasati Kartika
author_sort Muliyati, Dewi
collection PubMed
description Computational thinking (CT) is an essential skill in the twenty-first century. The computational physics course (CPC) is one subject that is designed to support students in the practice of CT. Many studies show that the worksheets could be a solution in a CPC as a scaffold to achieve the CT objectives both online and offline. The study aims to develop the worksheet and integrate it with CT in a computational physics course. This study applied the research and development (R & D) method with the ADDIE model approach. In the results, the evaluation test from the experts reached a very good interpretation score based on the learning media expert (96%), the teaching material expert (95%), and the pedagogy experts (92%). So that this media is declared feasible to be used in the CPC. Furthermore, after the experimental study of students who took the computational physics course (n = 31), the study showed that the modified course could significantly improve student skills regarding overall CT (p value <0.05). However, this research also found that cooperative learning as part of CT had no improvement (p value >0.05). The experiment was conducted amid the COVID 19 pandemic wherein the students could only study at home for the whole semester. These findings indicate that the pandemic has impacted the collaborative skills of students on the course.
format Online
Article
Text
id pubmed-8391866
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-83918662021-08-27 Development and evaluation of granular simulation for integrating computational thinking into computational physics courses Muliyati, Dewi Sumardani, Dadan Siswoyo, Siswoyo Bakri, Fauzi Permana, Handjoko Handoko, Erfan Sari, Ni Larasati Kartika Educ Inf Technol (Dordr) Article Computational thinking (CT) is an essential skill in the twenty-first century. The computational physics course (CPC) is one subject that is designed to support students in the practice of CT. Many studies show that the worksheets could be a solution in a CPC as a scaffold to achieve the CT objectives both online and offline. The study aims to develop the worksheet and integrate it with CT in a computational physics course. This study applied the research and development (R & D) method with the ADDIE model approach. In the results, the evaluation test from the experts reached a very good interpretation score based on the learning media expert (96%), the teaching material expert (95%), and the pedagogy experts (92%). So that this media is declared feasible to be used in the CPC. Furthermore, after the experimental study of students who took the computational physics course (n = 31), the study showed that the modified course could significantly improve student skills regarding overall CT (p value <0.05). However, this research also found that cooperative learning as part of CT had no improvement (p value >0.05). The experiment was conducted amid the COVID 19 pandemic wherein the students could only study at home for the whole semester. These findings indicate that the pandemic has impacted the collaborative skills of students on the course. Springer US 2021-08-27 2022 /pmc/articles/PMC8391866/ /pubmed/34466125 http://dx.doi.org/10.1007/s10639-021-10724-8 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 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
Muliyati, Dewi
Sumardani, Dadan
Siswoyo, Siswoyo
Bakri, Fauzi
Permana, Handjoko
Handoko, Erfan
Sari, Ni Larasati Kartika
Development and evaluation of granular simulation for integrating computational thinking into computational physics courses
title Development and evaluation of granular simulation for integrating computational thinking into computational physics courses
title_full Development and evaluation of granular simulation for integrating computational thinking into computational physics courses
title_fullStr Development and evaluation of granular simulation for integrating computational thinking into computational physics courses
title_full_unstemmed Development and evaluation of granular simulation for integrating computational thinking into computational physics courses
title_short Development and evaluation of granular simulation for integrating computational thinking into computational physics courses
title_sort development and evaluation of granular simulation for integrating computational thinking into computational physics courses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391866/
https://www.ncbi.nlm.nih.gov/pubmed/34466125
http://dx.doi.org/10.1007/s10639-021-10724-8
work_keys_str_mv AT muliyatidewi developmentandevaluationofgranularsimulationforintegratingcomputationalthinkingintocomputationalphysicscourses
AT sumardanidadan developmentandevaluationofgranularsimulationforintegratingcomputationalthinkingintocomputationalphysicscourses
AT siswoyosiswoyo developmentandevaluationofgranularsimulationforintegratingcomputationalthinkingintocomputationalphysicscourses
AT bakrifauzi developmentandevaluationofgranularsimulationforintegratingcomputationalthinkingintocomputationalphysicscourses
AT permanahandjoko developmentandevaluationofgranularsimulationforintegratingcomputationalthinkingintocomputationalphysicscourses
AT handokoerfan developmentandevaluationofgranularsimulationforintegratingcomputationalthinkingintocomputationalphysicscourses
AT sarinilarasatikartika developmentandevaluationofgranularsimulationforintegratingcomputationalthinkingintocomputationalphysicscourses