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The Development and Validation of the Robotics Learning Self-Efficacy Scale (RLSES) by Meng-Jung Tsai; Ching-Yeh Wang; An-Hsuan Wu; Chun-Ying Hsiao is a Social Sciences article available to read on EtoBox.

What is The Development and Validation of the Robotics Learning Self-Efficacy Scale (RLSES) about?

Robotics education has gradually been emphasized in contemporary school curricula; however, assessment tools for robotics learning are still limited. Based on Bloom's Taxonomy of educational objectives, this study aimed to develop the Robotics Learning Self-Efficacy Scale (RLSES) with a two-level construct of five dimensions for assessing students' self-efficacy for learning robotics. A total of 181 elementary, junior high and senior high school students (5th-12th graders) with robotics learning experience were selected as the sample of this study. A questionnaire including 32 candidate items designed for the initial version of the RLSES was administered to the sample. An exploratory factor analysis was conducted and, finally, 16 items were drawn for the final RLSES under five subscales (Comprehension, Practice, Analysis, Application, and Collaboration), with a total explained variance of 85.28%. The Cronbach's alpha reliability was .97 for the overall scale, ranging from .87 to .95 for the subscales. The inter-correlation analysis showed evidence of discriminant validity. Regression analysis results supported that Practice

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Author

Meng-Jung Tsai; Ching-Yeh Wang; An-Hsuan Wu; Chun-Ying Hsiao

Publisher

SAGE Publications

Published

2021

Language

EN

Field

Social Sciences