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Computational Thinking and Academic Achievement: The Mediator Roles of Problem-solving Ability and Learning Anxiety

Computational thinking (CT) has received increasing attention from educational researchers as a higher-order thinking skill. CT is a key factor that influences the learning process and facilitates the acquisition of knowledge and the improvement of students' academic performance. However, the m...

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Bibliographic Details
Main Authors: Zhu, Zhifang, Zhang, Yi, Zhu, Wanze, Ma, Jingsi
Format: Conference Proceeding
Language:English
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Summary:Computational thinking (CT) has received increasing attention from educational researchers as a higher-order thinking skill. CT is a key factor that influences the learning process and facilitates the acquisition of knowledge and the improvement of students' academic performance. However, the mechanisms of how CT affects students' academic performance have yet to be explored in depth. Based on this, this study used a large-scale questionnaire to construct a model with problem-solving ability and learning anxiety as mediators with 8,134 Chinese elementary school students. The results showed that CT was a significant direct predictor of academic achievement; problem-solving ability and learning anxiety played significant mediator roles between CT and students' academic achievement. CT can improve students' problem-solving ability and reduce anxiety, which leads to better academic performance.
ISSN:2766-2144
DOI:10.1109/ISET58841.2023.00027