Academic Journal

A Study on Computational Thinking for Major of Computer Science.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: A Study on Computational Thinking for Major of Computer Science.
Συγγραφείς: Hyo-joo Woo, Yeong-wook Yang, Jaechoon Jo
Πηγή: International Journal on Advanced Science, Engineering & Information Technology; 2023, Vol. 13 Issue 5, p1993-1998, 6p
Θεματικοί όροι: Computer science students, Computer science, Computers in education, Education software, Artificial intelligence
Γεωγραφικοί όροι: South Korea
Περίληψη: Recent advances in artificial intelligence and Software have resulted in a paradigm shift in education, necessitating greater changes in educational methods and environments. Many countries worldwide have highlighted computational thinking as the core competence related to software education, leading to an increase in the number of studies focusing on computational thinking in Korea as well. Future demands must be analyzed, and curricula must be improved through in-depth education in computational thinking. Therefore, computational thinking curricula currently offered by universities for students majoring and not majoring in related fields must be reformed for precise educational goals. While research on computational thinking for non-major students has been consistently conducted, curricula for major students are inadequate, and there is a lack of learning opportunities because of the expectation that education on computational thinking for computer science major students will be naturally achieved. Thus, for the purpose of improving the computational thinking education for computer science major students, this study conducted a survey consisting of six questions on "perception of computational thinking" and 11 questions on "need of computational thinking" among 313 students majoring in computer science at a university in Korea. In the study results, 177 students (56.5%) answered "I do not know" for the question "I know what computational thinking is well enough," indicating that computational thinking education must be expanded and considered not only for non-computer science majors but also for computer science major students. [ABSTRACT FROM AUTHOR]
Copyright of International Journal on Advanced Science, Engineering & Information Technology is the property of INSIGHT - Indonesian Society for Knowledge & Human Development 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.)
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  Data: A Study on Computational Thinking for Major of Computer Science.
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  Data: International Journal on Advanced Science, Engineering & Information Technology; 2023, Vol. 13 Issue 5, p1993-1998, 6p
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  Data: Recent advances in artificial intelligence and Software have resulted in a paradigm shift in education, necessitating greater changes in educational methods and environments. Many countries worldwide have highlighted computational thinking as the core competence related to software education, leading to an increase in the number of studies focusing on computational thinking in Korea as well. Future demands must be analyzed, and curricula must be improved through in-depth education in computational thinking. Therefore, computational thinking curricula currently offered by universities for students majoring and not majoring in related fields must be reformed for precise educational goals. While research on computational thinking for non-major students has been consistently conducted, curricula for major students are inadequate, and there is a lack of learning opportunities because of the expectation that education on computational thinking for computer science major students will be naturally achieved. Thus, for the purpose of improving the computational thinking education for computer science major students, this study conducted a survey consisting of six questions on "perception of computational thinking" and 11 questions on "need of computational thinking" among 313 students majoring in computer science at a university in Korea. In the study results, 177 students (56.5%) answered "I do not know" for the question "I know what computational thinking is well enough," indicating that computational thinking education must be expanded and considered not only for non-computer science majors but also for computer science major students. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal on Advanced Science, Engineering & Information Technology is the property of INSIGHT - Indonesian Society for Knowledge & Human Development 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:
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      – Type: doi
        Value: 10.18517/ijaseit.13.5.19044
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      – Code: eng
        Text: English
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        PageCount: 6
        StartPage: 1993
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        Type: general
      – SubjectFull: Computer science students
        Type: general
      – SubjectFull: Computer science
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        Type: general
      – SubjectFull: Education software
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      – SubjectFull: Artificial intelligence
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      – TitleFull: A Study on Computational Thinking for Major of Computer Science.
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            NameFull: Yeong-wook Yang
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          Dates:
            – D: 01
              M: 09
              Text: 2023
              Type: published
              Y: 2023
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            – TitleFull: International Journal on Advanced Science, Engineering & Information Technology
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