We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
A multigroup structural equation modeling analysis of students' perception, motivation, and performance in computational thinking.
- Authors
Jiachu Ye; Xiaoyan Lai; Gary Ka Wai Wong
- Abstract
Students' perceptions of learning are important predictors of their learning motivation and academic performance. Examining perceptions of learning has meaningful implications for instruction practices, while it has been largely neglected in the research of computational thinking (CT). To contribute to the development of CT education, we explored the influence of students' perceptions on their motivation and performance in CT acquisition and examined the gender difference in the structural model using a multigroup structural equation modeling (SEM) analysis. Two hundred and eighty-five students from a Chinese urban high school were recruited for the study. The analysis revealed that students' perceptions of CT positively influenced their CT performance and learning motivation, and some motivational constructs, namely self-efficacy and learning goal orientation (LGO), also positively influenced their CT performance. Furthermore, in the male student group, perceptions of CT exhibited significant correlations with both self-efficacy and LGO. However, no significant correlation was found in the female student group. Implications for research and teaching practice in CT education are presented herein.
- Subjects
PSYCHOLOGY of students; STRUCTURAL equation modeling; ACHIEVEMENT motivation; ACADEMIC motivation; MOTIVATION (Psychology); CONCEPT learning
- Publication
Frontiers in Psychology, 2022, Vol 13, p1
- ISSN
1664-1078
- Publication type
Article
- DOI
10.3389/fpsyg.2022.989066