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A systematic literature review of computational thinking in K-8 education setting through the lens of a pedagogical content knowledge analysis
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Type
Conference Paper
Citation
Lin, T.-J., Yeter, I. H., Jiang, S., Osman Yaşar, & Looi, C.-K. (2022). A systematic literature review of computational thinking in K-8 education setting through the lens of a pedagogical content knowledge analysis. 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE). https://doi.org/10.1109/tale54877.2022.00150
Abstract
As Computational Thinking (CT) becomes an increasingly necessary skill, it is crucial to examine how CT can be taught in the classroom. Pedagogical Content Knowledge (PCK) is a practical concept to examine how CT education can be developed. This systematic literature review presents the discussion of K-8 teachers’ PCK in the implementation of CT- related activities in the classroom. Studies were extracted from Google Scholar’s database. Among these studies, 14 articles were deemed to be relevant for a more in-depth examination. Findings from this preliminary literature review suggest that teachers have clear purposes and goals for teaching CT and various instructional strategies for teaching CT. However, the existing studies lacked information about teachers’ knowledge and beliefs regarding the methods for assessing students’ CT. Practical implications and future directions to enhance K-8 teachers’ PCK on CT are discussed in this study.
Date Issued
2022
ISBN
9781665491174 (online)