A Collaborative Learning Framework for Computational Thinking Development through Game Programming

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Bibliographic Details
Title: A Collaborative Learning Framework for Computational Thinking Development through Game Programming
Language: English
Authors: de Jesus, Ângelo Magno, Silveira, Ismar Frango
Source: Informatics in Education. 2022 21(2):253-281.
Availability: Vilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences. Akademjos str. 4, Vilnius LT 08663 Lithuania. Tel: +37-5-21-09300; Fax: +37-5-27-29209; e-mail: info@mii.vu.lt; Web site: https://infedu.vu.lt/journal/INFEDU
Peer Reviewed: Y
Page Count: 29
Publication Date: 2022
Document Type: Journal Articles
Reports - Research
Descriptors: Cooperative Learning, Computation, Thinking Skills, Video Games, Programming, Computer Science Education, Teaching Methods
ISSN: 1648-5831
2335-8971
Abstract: The Computational Thinking (CT) teaching approach allows students to practice problem-solving in a way that they can use the Computer Science mindset. In this sense, Collaborative Learning has a lot to contribute to educational activities involving the CT. This article presents the design and evaluation of a Collaborative Learning framework for the development of CT skills in students. To design the proposed strategy, several fundamental features of the Collaborative Learning concept of the literature have been studied and sketched. The strategy was applied to middle school students through a digital games programming workshop. Data were collected by three means: (1) collecting artifacts produced during activities; (2) recording of game programming sessions; and (3) applying a structured interview to students. The data analysis showed evidence that the strategy was able to mobilize Computational Thinking skills in addition to mobilizing collaborative skills in learners.
Abstractor: As Provided
Entry Date: 2022
Accession Number: EJ1347755
Database: ERIC
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  Data: A Collaborative Learning Framework for Computational Thinking Development through Game Programming
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  Data: <searchLink fieldCode="AR" term="%22de+Jesus%2C+Ângelo+Magno%22">de Jesus, Ângelo Magno</searchLink><br /><searchLink fieldCode="AR" term="%22Silveira%2C+Ismar+Frango%22">Silveira, Ismar Frango</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Informatics+in+Education%22"><i>Informatics in Education</i></searchLink>. 2022 21(2):253-281.
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  Data: Vilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences. Akademjos str. 4, Vilnius LT 08663 Lithuania. Tel: +37-5-21-09300; Fax: +37-5-27-29209; e-mail: info@mii.vu.lt; Web site: https://infedu.vu.lt/journal/INFEDU
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  Data: <searchLink fieldCode="DE" term="%22Cooperative+Learning%22">Cooperative Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Computation%22">Computation</searchLink><br /><searchLink fieldCode="DE" term="%22Thinking+Skills%22">Thinking Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Video+Games%22">Video Games</searchLink><br /><searchLink fieldCode="DE" term="%22Programming%22">Programming</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Science+Education%22">Computer Science Education</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink>
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  Data: The Computational Thinking (CT) teaching approach allows students to practice problem-solving in a way that they can use the Computer Science mindset. In this sense, Collaborative Learning has a lot to contribute to educational activities involving the CT. This article presents the design and evaluation of a Collaborative Learning framework for the development of CT skills in students. To design the proposed strategy, several fundamental features of the Collaborative Learning concept of the literature have been studied and sketched. The strategy was applied to middle school students through a digital games programming workshop. Data were collected by three means: (1) collecting artifacts produced during activities; (2) recording of game programming sessions; and (3) applying a structured interview to students. The data analysis showed evidence that the strategy was able to mobilize Computational Thinking skills in addition to mobilizing collaborative skills in learners.
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      – Text: English
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      Pagination:
        PageCount: 29
        StartPage: 253
    Subjects:
      – SubjectFull: Cooperative Learning
        Type: general
      – SubjectFull: Computation
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      – SubjectFull: Thinking Skills
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      – SubjectFull: Video Games
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      – SubjectFull: Programming
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            NameFull: Silveira, Ismar Frango
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              Y: 2022
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