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ERIC Number: EJ1298809
Record Type: Journal
Publication Date: 2021
Pages: 14
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1049-4820
EISSN: N/A
Available Date: N/A
Large-Scale Path Modeling of Remixing to Computational Thinking
Xing, Wanli
Interactive Learning Environments, v29 n3 p414-427 2021
Previous research has invested much effort in understanding how programming can contribute to the development of young learners' computational thinking (CT) in traditional K-12 classroom settings. Relatively few studies have examined programming for CT in informal online communities, especially for large scale quantitative research. With the repurposing and appropriation of code becoming standard practice for youth programmers in new and networked communities, this study proposes a model to investigate and explain how such remixing practices influence CT in learners. In particular, we use social cognitive theory to transform log data from more than 100,000 students and 200,000 programs in the Scratch online community into cognitive, environmental and behavioral factors. Then path modeling was used to show how the community environment can affect learners' remixing and further impact CT skills. The results demonstrate the intertwined relationships among the factors, generally showing that remixing can lead to CT improvement, but that over exposure to the community and excessive remixing can actually hinder CT development. Results and implications are further discussed.
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A