Students' beliefs about computer programming predict their computational thinking and computer programming self-efficacy

While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed qu...

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Vydáno v:Interactive learning environments Ročník 32; číslo 8; s. 4088 - 4108
Hlavní autoři: Lee, Silvia Wen-Yu, Liang, Jyh-Chong, Hsu, Chung-Yuan, Tsai, Meng-Jung
Médium: Journal Article
Jazyk:angličtina
Vydáno: Abingdon Routledge 13.09.2024
Taylor & Francis Ltd
Témata:
Academic Achievement
Beliefs
Cognitive Ability
Complexity
computational thinking
Computer programming
Computers
Education
Effectiveness
epistemic belief
Epistemology
Generalization
Measuring instruments
Middle schools
Problem solving
Programming
scale development
Self Efficacy
Student Surveys
Students
Uncertainty
ISSN:1049-4820, 1744-5191
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Shrnutí:While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs about computer programming at middle school level. Second, the study aimed to understand how students' epistemic beliefs predict their computational thinking disposition and computer programming self-efficacy. A total of 406 middle school students completed a survey consisting of three research instruments: the Computer Programming Epistemic Belief Inventory (CPEBI), the Computational Thinking Scale (CTS), and the Computer Programming Self-Efficacy Scale (CPSES). The results indicated that the epistemic belief of "uncertainty" was a significant and positive predictor of the "abstraction" and "generalization" dimensions of computational thinking dispositions. In addition, the belief of "complexity" was an antecedent to three dimensions of computational thinking, namely, "algorithmic thinking," "evaluation," and "generalization." Only the "evaluation" dimension of CT disposition had significant and positive relationships with "programming self-efficacy." The roles of "uncertainty" and "complexity" of computer programming epistemic beliefs are discussed. Implications and suggestions for future computer programming education, especially for young students, are provided.
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ISSN:1049-4820
1744-5191
DOI:10.1080/10494820.2023.2194929