The Interrelationships between Metacognition and Modeling Competency: The Moderating Role of the Academic Year

Several concerted movements toward mathematical modeling have been seen in the last decade, reflecting the growing global relationship between the role of mathematics in the context of modern science, technology and real life. The literature has mainly covered the theoretical basis of research quest...

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Autores principales: Riyan Hidayat*, Sharifah Norul Akmar Syed Zamri, Hutkemri Zulnaidi, Mohd Faizal Nizam Lee Abdullah, Mazlini Adnan
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Publicado: RU Publications 2021
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spelling oai:doaj.org-article:0eab34d5b0c141e2ae122dbfb92b4e472021-11-11T08:19:08ZThe Interrelationships between Metacognition and Modeling Competency: The Moderating Role of the Academic Year2165-871410.12973/eu-jer.10.4.1853https://doaj.org/article/0eab34d5b0c141e2ae122dbfb92b4e472021-10-01T00:00:00Z https://eu-jer.com/EU-JER_10_4_1853.pdf https://doaj.org/toc/2165-8714Several concerted movements toward mathematical modeling have been seen in the last decade, reflecting the growing global relationship between the role of mathematics in the context of modern science, technology and real life. The literature has mainly covered the theoretical basis of research questions in mathematical modeling and the use of effective research methods in the studies. Driven by the Realistic Mathematics Education (RME) theory and empirical evidence on metacognition and modeling competency, this research aimed at exploring the interrelationships between metacognition and mathematical modeling and academic year level as a moderator via the SEM approach. This study involved 538 students as participants. From this sample, 133 students (24.7%) were from the first academic year, 223 (41.4%) were from the second and 182 (33.8%) were from the third. A correlational research design was employed to answer the research question. Cluster random sampling was used to gather the sample. We employed structural equation modeling (SEM) to test the hypothesized moderation employing IBM SPSS Amos version 18. Our findings confirmed the direct correlation between metacognition and mathematical modeling was statistically significant. Academic year level as a partial moderator significantly moderates the interrelationships between the metacognitive strategies and mathematical modeling competency. The effect of metacognition on mathematical modeling competency was more pronounced in the year two group compared to the year one and three groups.Riyan Hidayat*Sharifah Norul Akmar Syed ZamriHutkemri ZulnaidiMohd Faizal Nizam Lee AbdullahMazlini AdnanRU Publicationsarticleacademic year levels confirmatory factor analysis mathematical modeling metacognition structural equation modelling.EducationLENEuropean Journal of Educational Research , Vol 10, Iss 4, Pp 1853-1866 (2021)
institution DOAJ
collection DOAJ
language EN
topic academic year levels
confirmatory factor analysis
mathematical modeling
metacognition
structural equation modelling.
Education
L
spellingShingle academic year levels
confirmatory factor analysis
mathematical modeling
metacognition
structural equation modelling.
Education
L
Riyan Hidayat*
Sharifah Norul Akmar Syed Zamri
Hutkemri Zulnaidi
Mohd Faizal Nizam Lee Abdullah
Mazlini Adnan
The Interrelationships between Metacognition and Modeling Competency: The Moderating Role of the Academic Year
description Several concerted movements toward mathematical modeling have been seen in the last decade, reflecting the growing global relationship between the role of mathematics in the context of modern science, technology and real life. The literature has mainly covered the theoretical basis of research questions in mathematical modeling and the use of effective research methods in the studies. Driven by the Realistic Mathematics Education (RME) theory and empirical evidence on metacognition and modeling competency, this research aimed at exploring the interrelationships between metacognition and mathematical modeling and academic year level as a moderator via the SEM approach. This study involved 538 students as participants. From this sample, 133 students (24.7%) were from the first academic year, 223 (41.4%) were from the second and 182 (33.8%) were from the third. A correlational research design was employed to answer the research question. Cluster random sampling was used to gather the sample. We employed structural equation modeling (SEM) to test the hypothesized moderation employing IBM SPSS Amos version 18. Our findings confirmed the direct correlation between metacognition and mathematical modeling was statistically significant. Academic year level as a partial moderator significantly moderates the interrelationships between the metacognitive strategies and mathematical modeling competency. The effect of metacognition on mathematical modeling competency was more pronounced in the year two group compared to the year one and three groups.
format article
author Riyan Hidayat*
Sharifah Norul Akmar Syed Zamri
Hutkemri Zulnaidi
Mohd Faizal Nizam Lee Abdullah
Mazlini Adnan
author_facet Riyan Hidayat*
Sharifah Norul Akmar Syed Zamri
Hutkemri Zulnaidi
Mohd Faizal Nizam Lee Abdullah
Mazlini Adnan
author_sort Riyan Hidayat*
title The Interrelationships between Metacognition and Modeling Competency: The Moderating Role of the Academic Year
title_short The Interrelationships between Metacognition and Modeling Competency: The Moderating Role of the Academic Year
title_full The Interrelationships between Metacognition and Modeling Competency: The Moderating Role of the Academic Year
title_fullStr The Interrelationships between Metacognition and Modeling Competency: The Moderating Role of the Academic Year
title_full_unstemmed The Interrelationships between Metacognition and Modeling Competency: The Moderating Role of the Academic Year
title_sort interrelationships between metacognition and modeling competency: the moderating role of the academic year
publisher RU Publications
publishDate 2021
url https://doaj.org/article/0eab34d5b0c141e2ae122dbfb92b4e47
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