Academic Journal
Enhancing Algorithmic Thinking through Computational Tools: A Study on High School Computing Education.
| Title: | Enhancing Algorithmic Thinking through Computational Tools: A Study on High School Computing Education. |
|---|---|
| Authors: | Rahmawati, Khan, Omar, Syahputra, M., Hanifa, Amalia, Sitepu, Ediaman |
| Source: | Scientechno: Journal of Science & Technology; Sep2024, Vol. 3 Issue 3, p305-317, 13p |
| Subject Terms: | Secondary education, Student engagement, High school students, Observation (Educational method), Student development |
| Abstract: | The importance of algorithmic thinking in modern education has grown significantly, particularly in the context of computing education in high schools. As computational tools become more accessible, their role in enhancing students' problem-solving abilities has gained considerable attention. This study investigates how computational tools can improve algorithmic thinking among high school students and their overall engagement with computing subjects. The primary objective is to assess the impact of integrating computational tools, such as programming environments and visual coding platforms, on students' development of algorithmic skills. The study adopts a mixed-methods approach, combining quantitative data from pre-and post-tests measuring algorithmic thinking skills, and qualitative data through interviews and classroom observations. A total of 150 high school students from various educational backgrounds participated in the study over one semester. The results indicate a significant improvement in students' algorithmic thinking abilities after exposure to computational tools, particularly in areas such as problem decomposition, abstraction, and logical reasoning. Additionally, students reported higher levels of motivation and interest in computing subjects. In conclusion, the integration of computational tools in high school computing education not only enhances algorithmic thinking but also fosters greater student engagement. These findings highlight the potential of using technology to bridge the gap between theoretical concepts and practical application in computing education. Further research is encouraged to explore long-term effects and the scalability of these methods across diverse educational settings. [ABSTRACT FROM AUTHOR] |
| Copyright of Scientechno: Journal of Science & Technology is the property of Yayasan Adra Karima Hubbi 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: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 186694017 RelevancyScore: 974 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 973.590148925781 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhancing Algorithmic Thinking through Computational Tools: A Study on High School Computing Education. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rahmawati%22">Rahmawati</searchLink><br /><searchLink fieldCode="AR" term="%22Khan%2C+Omar%22">Khan, Omar</searchLink><br /><searchLink fieldCode="AR" term="%22Syahputra%2C+M%2E%22">Syahputra, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Hanifa%2C+Amalia%22">Hanifa, Amalia</searchLink><br /><searchLink fieldCode="AR" term="%22Sitepu%2C+Ediaman%22">Sitepu, Ediaman</searchLink> – Name: TitleSource Label: Source Group: Src Data: Scientechno: Journal of Science & Technology; Sep2024, Vol. 3 Issue 3, p305-317, 13p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Secondary+education%22">Secondary education</searchLink><br /><searchLink fieldCode="DE" term="%22Student+engagement%22">Student engagement</searchLink><br /><searchLink fieldCode="DE" term="%22High+school+students%22">High school students</searchLink><br /><searchLink fieldCode="DE" term="%22Observation+%28Educational+method%29%22">Observation (Educational method)</searchLink><br /><searchLink fieldCode="DE" term="%22Student+development%22">Student development</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The importance of algorithmic thinking in modern education has grown significantly, particularly in the context of computing education in high schools. As computational tools become more accessible, their role in enhancing students' problem-solving abilities has gained considerable attention. This study investigates how computational tools can improve algorithmic thinking among high school students and their overall engagement with computing subjects. The primary objective is to assess the impact of integrating computational tools, such as programming environments and visual coding platforms, on students' development of algorithmic skills. The study adopts a mixed-methods approach, combining quantitative data from pre-and post-tests measuring algorithmic thinking skills, and qualitative data through interviews and classroom observations. A total of 150 high school students from various educational backgrounds participated in the study over one semester. The results indicate a significant improvement in students' algorithmic thinking abilities after exposure to computational tools, particularly in areas such as problem decomposition, abstraction, and logical reasoning. Additionally, students reported higher levels of motivation and interest in computing subjects. In conclusion, the integration of computational tools in high school computing education not only enhances algorithmic thinking but also fosters greater student engagement. These findings highlight the potential of using technology to bridge the gap between theoretical concepts and practical application in computing education. Further research is encouraged to explore long-term effects and the scalability of these methods across diverse educational settings. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Scientechno: Journal of Science & Technology is the property of Yayasan Adra Karima Hubbi 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: 10.70177/Scientechno.v3i3.1657 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 305 Subjects: – SubjectFull: Secondary education Type: general – SubjectFull: Student engagement Type: general – SubjectFull: High school students Type: general – SubjectFull: Observation (Educational method) Type: general – SubjectFull: Student development Type: general Titles: – TitleFull: Enhancing Algorithmic Thinking through Computational Tools: A Study on High School Computing Education. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rahmawati – PersonEntity: Name: NameFull: Khan, Omar – PersonEntity: Name: NameFull: Syahputra, M. – PersonEntity: Name: NameFull: Hanifa, Amalia – PersonEntity: Name: NameFull: Sitepu, Ediaman IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 29864887 Numbering: – Type: volume Value: 3 – Type: issue Value: 3 Titles: – TitleFull: Scientechno: Journal of Science & Technology Type: main |
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