Computational Thinking and Modeling: A Quasi-Experimental Study of Learning Transfer

This quasi-experimental study investigated the impact of computational learning activities on high school students’ computational thinking (CT) and computational modeling (CM) skills. High school students (n = 90) aged 16 to 19 engaged in activities using computer models versus textbook-based models in mathematics and social science. The results indicated that students using computer models showed significant improvements in CT and CM skills compared to their peers in conventional learning settings. However, a potential ceiling effect in the CT assessments suggests that the test may not fully capture the extent of skill development. These findings highlight the importance of integrating computational learning activities in education, as they enhance students’ abilities to apply these skills beyond the classroom.

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Publication Details

Journal
Education Sciences
Published
2024-09-05
DOI
https://doi.org/10.3390/educsci14090980
Citations
4
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
1.65

Funders

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article

Computational Thinking and Modeling: A Quasi-Experimental Study of Learning Transfer

Peter Musaeus, Line Have Musaeus
4 citations
Education Sciences
Teaching and Learning Programming
1.65
article

Computational Thinking and Modeling: A Quasi-Experimental Study of Learning Transfer

Peter Musaeus, Line Have Musaeus
article en
4 citations

Abstract

This quasi-experimental study investigated the impact of computational learning activities on high school students’ computational thinking (CT) and computational modeling (CM) skills. High school students (n = 90) aged 16 to 19 engaged in activities using computer models versus textbook-based models in mathematics and social science. The results indicated that students using computer models showed significant improvements in CT and CM skills compared to their peers in conventional learning settings. However, a potential ceiling effect in the CT assessments suggests that the test may not fully capture the extent of skill development. These findings highlight the importance of integrating computational learning activities in education, as they enhance students’ abilities to apply these skills beyond the classroom.

Education SciencesVol. 14(9)
Aarhus University (DK)
Aarhus Universitet
Quality Education
Openalex Percentile: Top 12%
Teaching and Learning Programming
1.65
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