Correlation analysis between sub-element of technological thinking disposition and computational thinking of gifted students in South Korea.
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| Title: | Correlation analysis between sub-element of technological thinking disposition and computational thinking of gifted students in South Korea. |
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| Authors: | Choi, Yong-Woon1, Go, In-gyu2 goingyu@cnue.ac.kr, Gil, Yeong-Jae3 |
| Source: | International Journal of Technology & Design Education. Nov2024, Vol. 34 Issue 5, p1835-1857. 23p. |
| Subjects: | Gifted & talented education, Advanced students, School children, Artificial intelligence, Teaching methods, British education system |
| Geographic Terms: | South Korea |
| Abstract: | The purpose of this study is to derive a correlation between the technological thinking disposition and the computational thinking ability of gifted students in Korea. The correlation between each element was analyzed by looking at the sub-elements of computational thinking according to the components of technological thinking disposition. The experiment was conducted from September 2019 to February 2021 with 217 students of I Gifted School in Incheon, South Korea. The collected data were analyzed with Pearson's correlation coefficient using the statistical program R using Google COLAB. A summary of the study results is as follows. First, regarding the correlation between technological thinking ability, among the 6 components of technological thinking disposition, technological creativity and expression disposition and technological manipulation disposition show the highest correlation at 0.851. This shows that students who have an excellent ability to implement algorithms with new ideas or express them in various other attempts when implementing programs for gifted students also tend to enjoy program coding or have a tendency to like coding. Second, concerning the correlation between the technological thinking disposition and the sub-factors of computational thinking, some elements showed negative correlations and some had almost no correlation index. Students with high technological curiosity, however, tended to show a 0.287 in the parallelism factor compared to other factors. This showed a generally high trend. It can be said that students who want to know the functions, uses, forms, and characteristics of functions while implementing programs tend to have a better ability to divide large tasks into smaller tasks and process them simultaneously compared with other sub-elements of computational thinking. Third, regarding the correlation between computational thinking skills, the correlation between data analysis and pattern recognition was the highest at 0.637. This indicates that students who have an excellent ability to analyze a given coding problem also can find rules in data, showing that students at gifted schools in Korea tend to enjoy problem-solving. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Technology & Design Education is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 179690132 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Correlation analysis between sub-element of technological thinking disposition and computational thinking of gifted students in South Korea. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Choi%2C+Yong-Woon%22">Choi, Yong-Woon</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Go%2C+In-gyu%22">Go, In-gyu</searchLink><relatesTo>2</relatesTo><i> goingyu@cnue.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Gil%2C+Yeong-Jae%22">Gil, Yeong-Jae</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Technology+%26+Design+Education%22">International Journal of Technology & Design Education</searchLink>. Nov2024, Vol. 34 Issue 5, p1835-1857. 23p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Gifted+%26+talented+education%22">Gifted & talented education</searchLink><br /><searchLink fieldCode="DE" term="%22Advanced+students%22">Advanced students</searchLink><br /><searchLink fieldCode="DE" term="%22School+children%22">School children</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+methods%22">Teaching methods</searchLink><br /><searchLink fieldCode="DE" term="%22British+education+system%22">British education system</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22South+Korea%22">South Korea</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The purpose of this study is to derive a correlation between the technological thinking disposition and the computational thinking ability of gifted students in Korea. The correlation between each element was analyzed by looking at the sub-elements of computational thinking according to the components of technological thinking disposition. The experiment was conducted from September 2019 to February 2021 with 217 students of I Gifted School in Incheon, South Korea. The collected data were analyzed with Pearson's correlation coefficient using the statistical program R using Google COLAB. A summary of the study results is as follows. First, regarding the correlation between technological thinking ability, among the 6 components of technological thinking disposition, technological creativity and expression disposition and technological manipulation disposition show the highest correlation at 0.851. This shows that students who have an excellent ability to implement algorithms with new ideas or express them in various other attempts when implementing programs for gifted students also tend to enjoy program coding or have a tendency to like coding. Second, concerning the correlation between the technological thinking disposition and the sub-factors of computational thinking, some elements showed negative correlations and some had almost no correlation index. Students with high technological curiosity, however, tended to show a 0.287 in the parallelism factor compared to other factors. This showed a generally high trend. It can be said that students who want to know the functions, uses, forms, and characteristics of functions while implementing programs tend to have a better ability to divide large tasks into smaller tasks and process them simultaneously compared with other sub-elements of computational thinking. Third, regarding the correlation between computational thinking skills, the correlation between data analysis and pattern recognition was the highest at 0.637. This indicates that students who have an excellent ability to analyze a given coding problem also can find rules in data, showing that students at gifted schools in Korea tend to enjoy problem-solving. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Technology & Design Education is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10798-024-09888-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 1835 Subjects: – SubjectFull: Gifted & talented education Type: general – SubjectFull: Advanced students Type: general – SubjectFull: School children Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Teaching methods Type: general – SubjectFull: British education system Type: general – SubjectFull: South Korea Type: general Titles: – TitleFull: Correlation analysis between sub-element of technological thinking disposition and computational thinking of gifted students in South Korea. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Choi, Yong-Woon – PersonEntity: Name: NameFull: Go, In-gyu – PersonEntity: Name: NameFull: Gil, Yeong-Jae IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09577572 Numbering: – Type: volume Value: 34 – Type: issue Value: 5 Titles: – TitleFull: International Journal of Technology & Design Education Type: main |
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