The transfer effect of computational thinking (CT)-STEM: a systematic literature review and meta-analysis

Abstract Background Integrating computational thinking (CT) into STEM education has recently drawn significant attention, strengthened by the premise that CT and STEM are mutually reinforcing. Previous CT-STEM studies have examined theoretical interpretations, instructional strategies, and assessment targets. However, few have endeavored to delineate the transfer effects of CT-STEM on the development of cognitive and noncognitive benefits. Given this research gap, we conducted a systematic literature review and meta-analysis to provide deeper insights. Results We analyzed results from 37 studies involving 7,832 students with 96 effect sizes. Our key findings include: (i) identification of 36 benefits; (ii) a moderate overall transfer effect, with moderate effects also observed for both near and far transfers; (iii) a stronger effect on cognitive benefits compared to noncognitive benefits, regardless of the transfer type; (iv) significant moderation by educational level, sample size, instructional strategies, and intervention duration on overall and near-transfer effects, with only educational level and sample size being significant moderators for far-transfer effects. Conclusions This study analyzes the cognitive and noncognitive benefits arising from CT-STEM’s transfer effects, providing new insights to foster more effective STEM classroom teaching.

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Publication Details

Journal
International Journal of STEM Education
Published
2024-09-09
DOI
https://doi.org/10.1186/s40594-024-00498-z
Citations
18
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
7.41
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article

The transfer effect of computational thinking (CT)-STEM: a systematic literature review and meta-analysis

Zuokun Li, Pey‐Tee Oon
18 citations
International Journal of STEM Education
Teaching and Learning Programming
7.41
article

The transfer effect of computational thinking (CT)-STEM: a systematic literature review and meta-analysis

Zuokun Li, Pey‐Tee Oon
article en
18 citations

Abstract

Abstract Background Integrating computational thinking (CT) into STEM education has recently drawn significant attention, strengthened by the premise that CT and STEM are mutually reinforcing. Previous CT-STEM studies have examined theoretical interpretations, instructional strategies, and assessment targets. However, few have endeavored to delineate the transfer effects of CT-STEM on the development of cognitive and noncognitive benefits. Given this research gap, we conducted a systematic literature review and meta-analysis to provide deeper insights. Results We analyzed results from 37 studies involving 7,832 students with 96 effect sizes. Our key findings include: (i) identification of 36 benefits; (ii) a moderate overall transfer effect, with moderate effects also observed for both near and far transfers; (iii) a stronger effect on cognitive benefits compared to noncognitive benefits, regardless of the transfer type; (iv) significant moderation by educational level, sample size, instructional strategies, and intervention duration on overall and near-transfer effects, with only educational level and sample size being significant moderators for far-transfer effects. Conclusions This study analyzes the cognitive and noncognitive benefits arising from CT-STEM’s transfer effects, providing new insights to foster more effective STEM classroom teaching.

International Journal of STEM EducationVol. 11(1)
University of Macau (MO)
Openalex Percentile: Top 3%
Teaching and Learning Programming
7.41
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