Determining youths’ computational thinking skills using confirmatory factor analysis

As technological advancements shape the workforce, computational thinking skills (CTS) are becoming increasingly crucial. The objective of the study is to explore the potential mediating role of professional development and career planning in the association between robotic coding and software and c...

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Published in:International Journal of Evaluation and Research in Education
Main Author: Muhamad M.Q.B.; Doddanavar I.A.; Chowdhury S.
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197309662&doi=10.11591%2fijere.v13i4.28513&partnerID=40&md5=f1eb2cbfcdb5b2fb923773612d119012
id 2-s2.0-85197309662
spelling 2-s2.0-85197309662
Muhamad M.Q.B.; Doddanavar I.A.; Chowdhury S.
Determining youths’ computational thinking skills using confirmatory factor analysis
2024
International Journal of Evaluation and Research in Education
13
4
10.11591/ijere.v13i4.28513
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197309662&doi=10.11591%2fijere.v13i4.28513&partnerID=40&md5=f1eb2cbfcdb5b2fb923773612d119012
As technological advancements shape the workforce, computational thinking skills (CTS) are becoming increasingly crucial. The objective of the study is to explore the potential mediating role of professional development and career planning in the association between robotic coding and software and computational thinking. The study selected 308 youths using simple random sampling and the collected data was subjected to structural equation modelling (SEM) and confirmatory factor analysis (CFA) using SmartPLS. Additionally, demographic data were analyzed using statistical package for social sciences (SPSS). The results concluded that the instrument adopted fulfilled the requirements and was valid for measuring CTS. This indicates that the instrument effectively assessed the participants’ proficiency in CTS. The findings of this study have implications for addressing the skills gaps among youths. The outcomes of this research can aid in designing educational interventions and policies that focus on developing computational thinking skills among new graduates. By fostering these skills, youths can better adapt to the demands of the rapidly evolving technological landscape and contribute effectively to the industries and job market influenced by industry 4.0. Further research on longitudinal studies may be beneficial to assess the long-term impact of CTS development initiatives on reducing skills gaps and ensuring youths are equipped for future workforce requirements. © 2024, Institute of Advanced Engineering and Science. All rights reserved.
Institute of Advanced Engineering and Science
22528822
English
Article
All Open Access; Gold Open Access
author Muhamad M.Q.B.; Doddanavar I.A.; Chowdhury S.
spellingShingle Muhamad M.Q.B.; Doddanavar I.A.; Chowdhury S.
Determining youths’ computational thinking skills using confirmatory factor analysis
author_facet Muhamad M.Q.B.; Doddanavar I.A.; Chowdhury S.
author_sort Muhamad M.Q.B.; Doddanavar I.A.; Chowdhury S.
title Determining youths’ computational thinking skills using confirmatory factor analysis
title_short Determining youths’ computational thinking skills using confirmatory factor analysis
title_full Determining youths’ computational thinking skills using confirmatory factor analysis
title_fullStr Determining youths’ computational thinking skills using confirmatory factor analysis
title_full_unstemmed Determining youths’ computational thinking skills using confirmatory factor analysis
title_sort Determining youths’ computational thinking skills using confirmatory factor analysis
publishDate 2024
container_title International Journal of Evaluation and Research in Education
container_volume 13
container_issue 4
doi_str_mv 10.11591/ijere.v13i4.28513
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197309662&doi=10.11591%2fijere.v13i4.28513&partnerID=40&md5=f1eb2cbfcdb5b2fb923773612d119012
description As technological advancements shape the workforce, computational thinking skills (CTS) are becoming increasingly crucial. The objective of the study is to explore the potential mediating role of professional development and career planning in the association between robotic coding and software and computational thinking. The study selected 308 youths using simple random sampling and the collected data was subjected to structural equation modelling (SEM) and confirmatory factor analysis (CFA) using SmartPLS. Additionally, demographic data were analyzed using statistical package for social sciences (SPSS). The results concluded that the instrument adopted fulfilled the requirements and was valid for measuring CTS. This indicates that the instrument effectively assessed the participants’ proficiency in CTS. The findings of this study have implications for addressing the skills gaps among youths. The outcomes of this research can aid in designing educational interventions and policies that focus on developing computational thinking skills among new graduates. By fostering these skills, youths can better adapt to the demands of the rapidly evolving technological landscape and contribute effectively to the industries and job market influenced by industry 4.0. Further research on longitudinal studies may be beneficial to assess the long-term impact of CTS development initiatives on reducing skills gaps and ensuring youths are equipped for future workforce requirements. © 2024, Institute of Advanced Engineering and Science. All rights reserved.
publisher Institute of Advanced Engineering and Science
issn 22528822
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
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