Calculus Self-Efficacy Inventory: Its Development and Relationship with Approaches to learning

This study was framed within a quantitative research methodology to develop a concise measure of calculus self-efficacy with high psychometric properties. A survey research design was adopted in which 234 engineering and economics students rated their confidence in solving year-one calculus tasks on...

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Main Authors: Yusuf F. Zakariya, Simon Goodchild, Kirsten Bjørkestøl, Hans K. Nilsen
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Education Sciences
Subjects:
Online Access:https://www.mdpi.com/2227-7102/9/3/170
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spelling doaj-e62b95ed6a8544e5a8965a926cbd08e82020-11-25T01:27:31ZengMDPI AGEducation Sciences2227-71022019-07-019317010.3390/educsci9030170educsci9030170Calculus Self-Efficacy Inventory: Its Development and Relationship with Approaches to learningYusuf F. Zakariya0Simon Goodchild1Kirsten Bjørkestøl2Hans K. Nilsen3Department of mathematical sciences, University of Agder, 4630 Kristiansand S, NorwayDepartment of mathematical sciences, University of Agder, 4630 Kristiansand S, NorwayDepartment of mathematical sciences, University of Agder, 4630 Kristiansand S, NorwayDepartment of mathematical sciences, University of Agder, 4630 Kristiansand S, NorwayThis study was framed within a quantitative research methodology to develop a concise measure of calculus self-efficacy with high psychometric properties. A survey research design was adopted in which 234 engineering and economics students rated their confidence in solving year-one calculus tasks on a 15-item inventory. The results of a series of exploratory factor analyses using minimum rank factor analysis for factor extraction, oblique promin rotation, and parallel analysis for retaining extracted factors revealed a one-factor solution of the model. The final 13-item inventory was unidimensional with all eigenvalues greater than 0.42, an average communality of 0.74, and a 62.55% variance of the items being accounted for by the latent factor, i.e., calculus self-efficacy. The inventory was found to be reliable with an ordinal coefficient alpha of 0.90. Using Spearman&#8217; rank coefficient, a significant positive correlation <inline-formula> <math display="inline"> <semantics> <mrow> <mi>&#961;</mi> <mrow> <mo>(</mo> <mrow> <mn>95</mn> </mrow> <mo>)</mo> </mrow> <mo>=</mo> <mo>&nbsp;</mo> <mn>0.27</mn> <mo>,</mo> <mo>&nbsp;</mo> <mi>p</mi> <mo>&lt;</mo> <mo>&nbsp;</mo> <mn>0.05</mn> </mrow> </semantics> </math> </inline-formula> (2-tailed) was found between the deep approach to learning and calculus self-efficacy, and a negative correlation <inline-formula> <math display="inline"> <semantics> <mrow> <mi>&#961;</mi> <mrow> <mo>(</mo> <mrow> <mn>95</mn> </mrow> <mo>)</mo> </mrow> <mo>=</mo> <mo>&nbsp;</mo> <mo>&#8722;</mo> <mn>0.26</mn> <mo>,</mo> <mo>&nbsp;</mo> <mi>p</mi> <mo>&lt;</mo> <mo>&nbsp;</mo> <mn>0.05</mn> </mrow> </semantics> </math> </inline-formula> (2-tailed) was found between the surface approach to learning and calculus self-efficacy. These suggest that students who adopt the deep approach to learning are confident in dealing with calculus exam problems while those who adopt the surface approach to learning are less confident in solving calculus exam problems.https://www.mdpi.com/2227-7102/9/3/170self-efficacydeep approachsurface approachhigher educationparallel analysis
collection DOAJ
language English
format Article
sources DOAJ
author Yusuf F. Zakariya
Simon Goodchild
Kirsten Bjørkestøl
Hans K. Nilsen
spellingShingle Yusuf F. Zakariya
Simon Goodchild
Kirsten Bjørkestøl
Hans K. Nilsen
Calculus Self-Efficacy Inventory: Its Development and Relationship with Approaches to learning
Education Sciences
self-efficacy
deep approach
surface approach
higher education
parallel analysis
author_facet Yusuf F. Zakariya
Simon Goodchild
Kirsten Bjørkestøl
Hans K. Nilsen
author_sort Yusuf F. Zakariya
title Calculus Self-Efficacy Inventory: Its Development and Relationship with Approaches to learning
title_short Calculus Self-Efficacy Inventory: Its Development and Relationship with Approaches to learning
title_full Calculus Self-Efficacy Inventory: Its Development and Relationship with Approaches to learning
title_fullStr Calculus Self-Efficacy Inventory: Its Development and Relationship with Approaches to learning
title_full_unstemmed Calculus Self-Efficacy Inventory: Its Development and Relationship with Approaches to learning
title_sort calculus self-efficacy inventory: its development and relationship with approaches to learning
publisher MDPI AG
series Education Sciences
issn 2227-7102
publishDate 2019-07-01
description This study was framed within a quantitative research methodology to develop a concise measure of calculus self-efficacy with high psychometric properties. A survey research design was adopted in which 234 engineering and economics students rated their confidence in solving year-one calculus tasks on a 15-item inventory. The results of a series of exploratory factor analyses using minimum rank factor analysis for factor extraction, oblique promin rotation, and parallel analysis for retaining extracted factors revealed a one-factor solution of the model. The final 13-item inventory was unidimensional with all eigenvalues greater than 0.42, an average communality of 0.74, and a 62.55% variance of the items being accounted for by the latent factor, i.e., calculus self-efficacy. The inventory was found to be reliable with an ordinal coefficient alpha of 0.90. Using Spearman&#8217; rank coefficient, a significant positive correlation <inline-formula> <math display="inline"> <semantics> <mrow> <mi>&#961;</mi> <mrow> <mo>(</mo> <mrow> <mn>95</mn> </mrow> <mo>)</mo> </mrow> <mo>=</mo> <mo>&nbsp;</mo> <mn>0.27</mn> <mo>,</mo> <mo>&nbsp;</mo> <mi>p</mi> <mo>&lt;</mo> <mo>&nbsp;</mo> <mn>0.05</mn> </mrow> </semantics> </math> </inline-formula> (2-tailed) was found between the deep approach to learning and calculus self-efficacy, and a negative correlation <inline-formula> <math display="inline"> <semantics> <mrow> <mi>&#961;</mi> <mrow> <mo>(</mo> <mrow> <mn>95</mn> </mrow> <mo>)</mo> </mrow> <mo>=</mo> <mo>&nbsp;</mo> <mo>&#8722;</mo> <mn>0.26</mn> <mo>,</mo> <mo>&nbsp;</mo> <mi>p</mi> <mo>&lt;</mo> <mo>&nbsp;</mo> <mn>0.05</mn> </mrow> </semantics> </math> </inline-formula> (2-tailed) was found between the surface approach to learning and calculus self-efficacy. These suggest that students who adopt the deep approach to learning are confident in dealing with calculus exam problems while those who adopt the surface approach to learning are less confident in solving calculus exam problems.
topic self-efficacy
deep approach
surface approach
higher education
parallel analysis
url https://www.mdpi.com/2227-7102/9/3/170
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