Enhancing programming learning performance through a Jigsaw collaborative learning method in a metaverse virtual space

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Veröffentlicht in:International Journal of STEM Education vol. 11, no. 1 (Dec 2024), p. 36
1. Verfasser: Chen, Chih-Ming
Weitere Verfasser: Huang, Ming-Yan
Veröffentlicht:
Springer Nature B.V.
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022 |a 2196-7822 
024 7 |a 10.1186/s40594-024-00495-2  |2 doi 
035 |a 3087763324 
045 2 |b d20241201  |b d20241231 
084 |a 243237  |2 nlm 
100 1 |a Chen, Chih-Ming  |u National Chengchi University, Graduate Institute of Library, Information and Archival Studies, Taipei City, Taiwan, ROC (GRID:grid.412042.1) (ISNI:0000 0001 2106 6277) 
245 1 |a Enhancing programming learning performance through a Jigsaw collaborative learning method in a metaverse virtual space 
260 |b Springer Nature B.V.  |c Dec 2024 
513 |a Journal Article 
520 3 |a BackgroundComputational thinking (CT) is crucial to fostering critical thinking and problem-solving skills. Many elementary schools have been cultivating students’ CT through block-based programming languages such as Scratch using traditional teacher-centered teaching methods. However, the approach excessively relies on teacher lectures, so the teacher’s teaching load is hefty, and most students cannot receive timely assistance from teachers, thus reducing students’ programming learning performance, interest, and confidence. Therefore, this study designs a Jigsaw collaborative learning method implemented in a metaverse virtual space (JCLM-MVS) for peer-to-peer Scratch programming learning to promote learners’ programming learning performance, CT, and learning attitudes. This study used a quasi-experimental research method, with 48 fifth-grade students from two classes in Taiwan’s elementary school as the research participants. One class of 24 students was randomly assigned to the experimental group using JCLM-MVS to conduct Scratch programming learning, whereas the other class of 24 students was assigned to the control group using the traditional teacher-centered teaching method.Main findingsThe study found that the experimental group of learners showed significantly better Scratch programming learning performance and attitude than the control group, and there was no statistically significant difference in CT between both groups, but both learning approaches effectively promoted CT. Additionally, the interview results showed that most interviewees stated that using JCLM-MVS for Scratch programming learning could receive timely assistance from peers, make collaborative learning more efficient and learning more enjoyable, and more intend to use JCLM-MVS for Scratch programming learning than using traditional teacher-centered teaching method due to the effective collaborative interaction mechanisms and realistic learning space provided in the metaverse virtual space.Conclusions/potential implicationsThis study presents a novel and engaging learning approach by integrating a metaverse virtual space with the Jigsaw collaborative learning method, referred to as JCLM-MVS, which enhances the effectiveness of the Jigsaw collaborative learning method in promoting Scratch programming learning performance, CT, and attitudes. 
653 |a Students 
653 |a Teaching methods 
653 |a Experimental research 
653 |a Experimental methods 
653 |a Collaboration 
653 |a Statistical analysis 
653 |a Schools 
653 |a Learning 
653 |a Group dynamics 
653 |a Programming languages 
653 |a Attitudes 
653 |a Teachers 
653 |a Effectiveness 
653 |a Problem solving 
653 |a Collaborative learning 
653 |a Teaching Load 
653 |a Control Groups 
653 |a Experimental Groups 
653 |a Cooperative Learning 
653 |a Elementary Education 
653 |a Elementary Schools 
653 |a Research Methodology 
653 |a Programming 
653 |a Social 
700 1 |a Huang, Ming-Yan  |u National Chengchi University, E-Learning Master Program of Library and Information Studies, Taipei City, Taiwan, ROC (GRID:grid.412042.1) (ISNI:0000 0001 2106 6277) 
773 0 |t International Journal of STEM Education  |g vol. 11, no. 1 (Dec 2024), p. 36 
786 0 |d ProQuest  |t Agriculture Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3087763324/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3087763324/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch