The Development and Validation of the Robotics Learning Self-Efficacy Scale (RLSES)

Meng Jung Tsai*, Ching Yeh Wang, An Hsuan Wu, Chun Ying Hsiao


研究成果: 雜誌貢獻期刊論文同行評審

5 引文 斯高帕斯(Scopus)


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 and Comprehension self-efficacy were significant predictors of Analysis, Application, and Collaboration self-efficacy, confirming the two-level (2 × 3) construct of the RLSES. Significant differences among school levels were found and are discussed.

頁(從 - 到)1056-1074
期刊Journal of Educational Computing Research
出版狀態已發佈 - 2021 10月

ASJC Scopus subject areas

  • 教育
  • 電腦科學應用


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