Title: Pre-service science teachers' computational thinking skills and STEM self-efficacy

Authors: Merve Lütfiye Şentürk; Uğur Sari

Addresses: Department of Mathematics and Science Education, Süleyman Demirel University, Isparta, Turkey ' Department of Mathematics and Science Education, Kirikkale University, Kirikkale, Turkey

Abstract: This study aims to examine pre-service science teachers' CT skills and STEM self-efficacy in terms of different variables and to reveal the relationship between them. The participants of the study, in which the survey model was used, consist of 334 pre-service science teachers studying in state universities. CT skills and STEM self-efficacy scales were used as data collection tools. One way MANOVA, correlation and linear regression analyses were used for the analysis of the data. In the study, it was determined that pre-service science teachers' grade level, level of technology interest, level of computer knowledge, activities/design/experiment/practice studies they carried out in undergraduate education and their STEM education were determinants of their CT skills and STEM self-efficacy. In addition, a positive relationship was determined between STEM self-efficacy and CT skills, and it was observed that creativity, collaboration, critical thinking, algorithmic thinking, and problem solving skills were predictors of CT and STEM self-efficacy.

Keywords: computational thinking; STEM; STEM self-efficacy; pre-service science teachers; teacher training.

DOI: 10.1504/IJLT.2025.151035

International Journal of Learning Technology, 2025 Vol.20 No.4, pp.471 - 506

Received: 01 Dec 2023
Accepted: 09 Mar 2024
Published online: 12 Jan 2026 *

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