Development and Analysis of Pre-service Teachers’ Self-efficacy in Integrating Computer Science Survey Instrument Using Confirmatory Factor Analysis

Computer Science (CS) in K-12 education is growing rapidly in response to national educational policy. As a result, teacher education programs are increasingly integrating CS within their courses. As Pre-service Teachers (PSTs) develop knowledge about learning and teaching CS, it is imperative to help PSTs build self-efficacy in CS and associated technology integration. Few instruments have been validated for PSTs’ self-efficacy for future integration of CS. This study presents an analysis of a survey for CS self-efficacy of PSTs. Confirmatory Factor Analysis (CFA) indicated the items align with the construct, and results demonstrate the validity of the instrument to assess PSTs’ self-efficacy to integrate CS.

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Publication Details

Journal
ACM Transactions on Computing Education
Published
2025-10-07
DOI
https://doi.org/10.1145/3769863
Primary Topic
Educational Research and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and Analysis of Pre-service Teachers’ Self-efficacy in Integrating Computer Science Survey Instrument Using Confirmatory Factor Analysis

Sarah Lilly, Jennifer L. Chiu, Eric Bredder
ACM Transactions on Computing Education
Educational Research and Pedagogy
article

Development and Analysis of Pre-service Teachers’ Self-efficacy in Integrating Computer Science Survey Instrument Using Confirmatory Factor Analysis

Sarah Lilly, Jennifer L. Chiu, Eric Bredder
article en

Abstract

Computer Science (CS) in K-12 education is growing rapidly in response to national educational policy. As a result, teacher education programs are increasingly integrating CS within their courses. As Pre-service Teachers (PSTs) develop knowledge about learning and teaching CS, it is imperative to help PSTs build self-efficacy in CS and associated technology integration. Few instruments have been validated for PSTs’ self-efficacy for future integration of CS. This study presents an analysis of a survey for CS self-efficacy of PSTs. Confirmatory Factor Analysis (CFA) indicated the items align with the construct, and results demonstrate the validity of the instrument to assess PSTs’ self-efficacy to integrate CS.

ACM Transactions on Computing EducationVol. 26(1)
University of Virginia (US)
Openalex Percentile: Top 67%
Educational Research and Pedagogy
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