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Article: Engaging children in developing algorithmic thinking and debugging skills in primary schools: A mixed-methods multiple case study

TitleEngaging children in developing algorithmic thinking and debugging skills in primary schools: A mixed-methods multiple case study
Authors
KeywordsAI literacy
Algorithmic thinking
Computational thinking
Debugging
Primary school
Programming (or coding)
Issue Date7-Feb-2024
PublisherSpringer
Citation
Education and Information Technologies, 2024 How to Cite?
Abstract

This study examined the developmental process of children’s computational thinking using block-based programming tools, specifically algorithmic thinking and debugging skills. With this aim, a group of children (N = 191) from two primary schools were studied for two years beginning from the fourth grade, as they engaged in our block-based programming curriculum in their primary schools. A mixed-methods multiple case study was designed with pre- and posttests, classroom observations and postintervention interviews. The statistical results showed that students’ algorithmic thinking and debugging skills significantly increased through our intervention, with girls gaining more on algorithmic thinking. During the students’ learning process, we found that they demonstrated behavioral, affective, and cognitive engagement while acquiring these skills in schools. This study presents the key to student engagement contributing to the process of computational thinking development, with implications for the design of future computational learning in primary school.


Persistent Identifierhttp://hdl.handle.net/10722/339723
ISSN
2023 Impact Factor: 4.8
2023 SCImago Journal Rankings: 1.301
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWong, Gary K W-
dc.contributor.authorJian, Shan-
dc.contributor.authorCheung, Ho-Yin-
dc.date.accessioned2024-03-11T10:38:51Z-
dc.date.available2024-03-11T10:38:51Z-
dc.date.issued2024-02-07-
dc.identifier.citationEducation and Information Technologies, 2024-
dc.identifier.issn1360-2357-
dc.identifier.urihttp://hdl.handle.net/10722/339723-
dc.description.abstract<p>This study examined the developmental process of children’s computational thinking using block-based programming tools, specifically algorithmic thinking and debugging skills. With this aim, a group of children <em>(N</em> = <em>191)</em> from two primary schools were studied for two years beginning from the fourth grade, as they engaged in our block-based programming curriculum in their primary schools. A mixed-methods multiple case study was designed with pre- and posttests, classroom observations and postintervention interviews. The statistical results showed that students’ algorithmic thinking and debugging skills significantly increased through our intervention, with girls gaining more on algorithmic thinking. During the students’ learning process, we found that they demonstrated behavioral, affective, and cognitive engagement while acquiring these skills in schools. This study presents the key to student engagement contributing to the process of computational thinking development, with implications for the design of future computational learning in primary school.</p>-
dc.languageeng-
dc.publisherSpringer-
dc.relation.ispartofEducation and Information Technologies-
dc.subjectAI literacy-
dc.subjectAlgorithmic thinking-
dc.subjectComputational thinking-
dc.subjectDebugging-
dc.subjectPrimary school-
dc.subjectProgramming (or coding)-
dc.titleEngaging children in developing algorithmic thinking and debugging skills in primary schools: A mixed-methods multiple case study-
dc.typeArticle-
dc.identifier.doi10.1007/s10639-024-12448-x-
dc.identifier.scopuseid_2-s2.0-85184230717-
dc.identifier.eissn1573-7608-
dc.identifier.isiWOS:001157146900005-
dc.identifier.issnl1360-2357-

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