Approaches to learning mathematics: preliminary evidence of a concise, valid, and reliable instrument

We assess students’ approaches to learning mathematics not only to predict students’ learning outcomes but also for its crucial utilities in the teaching and learning process. These utilities range from evaluating effective instructional interventions, determining students with learning difficulties...

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Main Author: Yusuf F. Zakariya
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1286394/full
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author Yusuf F. Zakariya
Yusuf F. Zakariya
author_facet Yusuf F. Zakariya
Yusuf F. Zakariya
author_sort Yusuf F. Zakariya
collection DOAJ
description We assess students’ approaches to learning mathematics not only to predict students’ learning outcomes but also for its crucial utilities in the teaching and learning process. These utilities range from evaluating effective instructional interventions, determining students with learning difficulties, and comparing teaching and learning experience in higher education. However, measures of the constructs have raised validity concerns among researchers. A root cause of these validity concerns is traceable to the failure of these measures to account for the content-specificity of approaches to learning. Building on a previously developed general measure of the constructs, I designed this study to bridge this gap by developing and validating approaches to learning mathematics questionnaire (ALMQ). 352 first-year engineering students who gave voluntary consent participated in the study. The students were mainly males with ages ranging from 15 years to 29 years. The average age was 20.67 years, and its standard deviation was 2.164. I analysed the generated data using confirmatory factor analysis and judged the consistency of hypothesised models with the generated data using a combination of criteria. The findings revealed a two-factor ALMQ with seven items which demonstrated an excellent global and local fit of the generated data. The standardised factor loadings for all the items were above 0.68 with an average of 0.73 showing the high strengths of the items in measuring their respective constructs. I also found a reliability coefficient of 0.81 for deep approaches, 0.77 for surface approaches, and 0.72 for the two-factor ALMQ. These findings suggest preliminary evidence of the validity and reliability of ALMQ. I discussed the practical implications of the findings for educators, policymakers, and researchers interested in improving the mathematics learning experience.
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spelling doaj.art-a07b6813b32b4b3fbbd3a64a7fb4ec432023-10-18T08:51:42ZengFrontiers Media S.A.Frontiers in Psychology1664-10782023-10-011410.3389/fpsyg.2023.12863941286394Approaches to learning mathematics: preliminary evidence of a concise, valid, and reliable instrumentYusuf F. Zakariya0Yusuf F. Zakariya1Department of Science Education, Ahmadu Bello University, Zaria, NigeriaDepartment of Mathematical Sciences, University of Agder, Kristiansand, NorwayWe assess students’ approaches to learning mathematics not only to predict students’ learning outcomes but also for its crucial utilities in the teaching and learning process. These utilities range from evaluating effective instructional interventions, determining students with learning difficulties, and comparing teaching and learning experience in higher education. However, measures of the constructs have raised validity concerns among researchers. A root cause of these validity concerns is traceable to the failure of these measures to account for the content-specificity of approaches to learning. Building on a previously developed general measure of the constructs, I designed this study to bridge this gap by developing and validating approaches to learning mathematics questionnaire (ALMQ). 352 first-year engineering students who gave voluntary consent participated in the study. The students were mainly males with ages ranging from 15 years to 29 years. The average age was 20.67 years, and its standard deviation was 2.164. I analysed the generated data using confirmatory factor analysis and judged the consistency of hypothesised models with the generated data using a combination of criteria. The findings revealed a two-factor ALMQ with seven items which demonstrated an excellent global and local fit of the generated data. The standardised factor loadings for all the items were above 0.68 with an average of 0.73 showing the high strengths of the items in measuring their respective constructs. I also found a reliability coefficient of 0.81 for deep approaches, 0.77 for surface approaches, and 0.72 for the two-factor ALMQ. These findings suggest preliminary evidence of the validity and reliability of ALMQ. I discussed the practical implications of the findings for educators, policymakers, and researchers interested in improving the mathematics learning experience.https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1286394/fulldeep approaches to learninghigher educationR-SPQ-2Freliabilitysurface approaches to learning
spellingShingle Yusuf F. Zakariya
Yusuf F. Zakariya
Approaches to learning mathematics: preliminary evidence of a concise, valid, and reliable instrument
Frontiers in Psychology
deep approaches to learning
higher education
R-SPQ-2F
reliability
surface approaches to learning
title Approaches to learning mathematics: preliminary evidence of a concise, valid, and reliable instrument
title_full Approaches to learning mathematics: preliminary evidence of a concise, valid, and reliable instrument
title_fullStr Approaches to learning mathematics: preliminary evidence of a concise, valid, and reliable instrument
title_full_unstemmed Approaches to learning mathematics: preliminary evidence of a concise, valid, and reliable instrument
title_short Approaches to learning mathematics: preliminary evidence of a concise, valid, and reliable instrument
title_sort approaches to learning mathematics preliminary evidence of a concise valid and reliable instrument
topic deep approaches to learning
higher education
R-SPQ-2F
reliability
surface approaches to learning
url https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1286394/full
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