Learning Engagement as a Moderator between Self-Efficacy, Math Anxiety, Problem-Solving Strategy, and Vector Problem-Solving Performance
Vector problem-solving abilities are fundamental to everyday life and higher education; thus, improving them is important in education and research. However, the role of cognitive and affective factors and learning engagement in vector problem-solving performance is still unclear. This study examine...
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Format: | Article |
Language: | English |
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MDPI AG
2022-11-01
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Series: | Psych |
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Online Access: | https://www.mdpi.com/2624-8611/4/4/60 |
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author | Yuno Shimizu |
author_facet | Yuno Shimizu |
author_sort | Yuno Shimizu |
collection | DOAJ |
description | Vector problem-solving abilities are fundamental to everyday life and higher education; thus, improving them is important in education and research. However, the role of cognitive and affective factors and learning engagement in vector problem-solving performance is still unclear. This study examines the processes associated with vector problem-solving performance, focusing on the problem-solving strategy as a cognitive factor and math anxiety and task-specific self-efficacy as affective factors. In addition, this study examines the impact of learning engagement as a moderator in this process. A total of 245 Japanese 11th-grade high school students completed questionnaires. A multiple-group structural equation modelling revealed that (1) task-specific self-efficacy, math anxiety, and problem-solving strategies contribute to vector problem-solving performance when learning engagement is above average; (2) task-specific self-efficacy contributes to math anxiety, whereas task-specific self-efficacy and math anxiety contribute to problem-solving strategies when learning engagement is above average and stable; (3) task-specific self-efficacy is a positive predictor of vector problem-solving performance regardless of learning engagement. The results suggest that learning engagement moderates the association between math anxiety, task-specific self-efficacy, problem-solving strategy, and vector problem-solving performance. In addition, task-specific self-efficacy is a strong predictor of vector problem-solving performance. |
first_indexed | 2024-03-09T15:55:39Z |
format | Article |
id | doaj.art-9a5a15ddec76473fbb36ad48cc3e450a |
institution | Directory Open Access Journal |
issn | 2624-8611 |
language | English |
last_indexed | 2024-03-09T15:55:39Z |
publishDate | 2022-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Psych |
spelling | doaj.art-9a5a15ddec76473fbb36ad48cc3e450a2023-11-24T17:41:55ZengMDPI AGPsych2624-86112022-11-014481683210.3390/psych4040060Learning Engagement as a Moderator between Self-Efficacy, Math Anxiety, Problem-Solving Strategy, and Vector Problem-Solving PerformanceYuno Shimizu0Center for Curriculum Redesign, Hyogo University of Teacher Education, Kato 673-1494, Hyogo Prefecture, JapanVector problem-solving abilities are fundamental to everyday life and higher education; thus, improving them is important in education and research. However, the role of cognitive and affective factors and learning engagement in vector problem-solving performance is still unclear. This study examines the processes associated with vector problem-solving performance, focusing on the problem-solving strategy as a cognitive factor and math anxiety and task-specific self-efficacy as affective factors. In addition, this study examines the impact of learning engagement as a moderator in this process. A total of 245 Japanese 11th-grade high school students completed questionnaires. A multiple-group structural equation modelling revealed that (1) task-specific self-efficacy, math anxiety, and problem-solving strategies contribute to vector problem-solving performance when learning engagement is above average; (2) task-specific self-efficacy contributes to math anxiety, whereas task-specific self-efficacy and math anxiety contribute to problem-solving strategies when learning engagement is above average and stable; (3) task-specific self-efficacy is a positive predictor of vector problem-solving performance regardless of learning engagement. The results suggest that learning engagement moderates the association between math anxiety, task-specific self-efficacy, problem-solving strategy, and vector problem-solving performance. In addition, task-specific self-efficacy is a strong predictor of vector problem-solving performance.https://www.mdpi.com/2624-8611/4/4/60math anxietyself-efficacyproblem-solving strategyproblem-solvinglearning engagementvector |
spellingShingle | Yuno Shimizu Learning Engagement as a Moderator between Self-Efficacy, Math Anxiety, Problem-Solving Strategy, and Vector Problem-Solving Performance Psych math anxiety self-efficacy problem-solving strategy problem-solving learning engagement vector |
title | Learning Engagement as a Moderator between Self-Efficacy, Math Anxiety, Problem-Solving Strategy, and Vector Problem-Solving Performance |
title_full | Learning Engagement as a Moderator between Self-Efficacy, Math Anxiety, Problem-Solving Strategy, and Vector Problem-Solving Performance |
title_fullStr | Learning Engagement as a Moderator between Self-Efficacy, Math Anxiety, Problem-Solving Strategy, and Vector Problem-Solving Performance |
title_full_unstemmed | Learning Engagement as a Moderator between Self-Efficacy, Math Anxiety, Problem-Solving Strategy, and Vector Problem-Solving Performance |
title_short | Learning Engagement as a Moderator between Self-Efficacy, Math Anxiety, Problem-Solving Strategy, and Vector Problem-Solving Performance |
title_sort | learning engagement as a moderator between self efficacy math anxiety problem solving strategy and vector problem solving performance |
topic | math anxiety self-efficacy problem-solving strategy problem-solving learning engagement vector |
url | https://www.mdpi.com/2624-8611/4/4/60 |
work_keys_str_mv | AT yunoshimizu learningengagementasamoderatorbetweenselfefficacymathanxietyproblemsolvingstrategyandvectorproblemsolvingperformance |