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...

Full description

Bibliographic Details
Main Author: Yuno Shimizu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Psych
Subjects:
Online Access:https://www.mdpi.com/2624-8611/4/4/60
_version_ 1797455532175392768
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