Identifying Taiwanese junior-high school students' mathematics learning profiles and their roles in mathematics learning self-efficacy and academic performance

Wang, Ya Ling; Liang, Jyh Chong; Lin, Chia Yi; Tsai, Chin Chung

doi:10.1016/j.lindif.2017.01.008

Cited by 29 publications

(29 citation statements)

References 38 publications

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“…In addition to the Conceptions of Learning Mathematics (COLM), developed by Wang et al . (), we also adapted Lin, Liang, and Tsai () Approaches to Learning Science by changing the wording to Approaches to Learning Mathematics (ALM) as one of the students’ learning variables. Furthermore, Self‐efficacy of Learning Mathematics (SLM) modified from Tsai, Ho, Liang, and Lin () work was utilized to measure students’ self‐efficacy of learning Mathematics.…”

Section: Methodsmentioning

confidence: 99%

“…For the test tools of the mathematic self‐efficacy, Lin and Tsai () studied students’ self‐efficacy and approaches to learning science in junior high school in Taiwan and provided scales of science learning self‐efficacy and approaches to learning science. Similar to the COLM (Conception of Learning Mathematics), Wang, Liang, Lin, and Tsai () proposed instruments about Self‐efficacy of Learning Mathematics (SLM).…”

Section: Background and Model Conceptualizationmentioning

confidence: 99%

“…Along this line, Wang et al . () studied junior high school students’ critical conceptions of learning mathematics in Taiwan and proposed the instrument, Conceptions of Learning Mathematics (COLM).…”

Section: Background and Model Conceptualizationmentioning

confidence: 99%

“…In the current research, the instrument designed by Wang et al . () was chosen to measure students’ conceptions of learning mathematics.…”

Section: Background and Model Conceptualizationmentioning

confidence: 99%

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Tablet‐based AR technology: Impacts on students’ conceptions and approaches to learning mathematics according to their self‐efficacy

Cai¹,

Liu²,

Yang³

et al. 2018

Brit J Educational Tech

Self Cite

105

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Most studies of Augmented Reality (AR) in education have considered students' learning outcomes and motivation. Previous studies have revealed that AR has the potential to help students learn abstract conceptions in mathematics. In this paper, a series of statistics and probability lessons using AR installed on tablets was designed and developed to examine the effect of the AR technology by comparing the conceptions and learning approaches of junior high school students with different levels of self-efficacy. A total of 101 students were divided into two groups based on their mathematics learning self-efficacy. The analysis of the results shows that AR applications in mathematics courses can help students with higher self-efficacy to pay closer attention to higher level conceptions. It can also help higher self-efficacy students to apply more advanced strategies when learning mathematics.

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Section: Methodsmentioning

confidence: 99%

Section: Background and Model Conceptualizationmentioning

confidence: 99%

Section: Background and Model Conceptualizationmentioning

confidence: 99%

“…In the current research, the instrument designed by Wang et al . () was chosen to measure students’ conceptions of learning mathematics.…”

Section: Background and Model Conceptualizationmentioning

confidence: 99%

See 2 more Smart Citations

Tablet‐based AR technology: Impacts on students’ conceptions and approaches to learning mathematics according to their self‐efficacy

Cai¹,

Liu²,

Yang³

et al. 2018

Brit J Educational Tech

Self Cite

105

View full text Add to dashboard Cite

show abstract

“…The different conceptualizations of self-efficacy involving general and domain-specific perspectives have recurring implications on the measurement of the construct. A look into the literature reveals that mathematics self-efficacy has been measured with instruments tailored towards general assessment (e.g., [16]), sources of efficacy (e.g., [33]), task-specific efficacy (e.g., [34]), and adaptations from other instruments or which are self-developed (e.g., [35]). These instruments have their strengths and weaknesses.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Zakariya¹,

Goodchild²,

Bjørkestøl³

et al. 2019

Education Sciences

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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’ rank coefficient, a significant positive correlation ρ ( 95 ) = 0.27 , p < 0.05 (2-tailed) was found between the deep approach to learning and calculus self-efficacy, and a negative correlation ρ ( 95 ) = − 0.26 , p < 0.05 (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.

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Impact of Lesson Planning on Students’ Achievement Using Learner Profile System

Mirza

Khurshid

Shah

et al. 2022

Learning and Analytics in Intelligent Systems

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Identifying Taiwanese junior-high school students' mathematics learning profiles and their roles in mathematics learning self-efficacy and academic performance

Cited by 29 publications

References 38 publications

Tablet‐based AR technology: Impacts on students’ conceptions and approaches to learning mathematics according to their self‐efficacy

Tablet‐based AR technology: Impacts on students’ conceptions and approaches to learning mathematics according to their self‐efficacy

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

Impact of Lesson Planning on Students’ Achievement Using Learner Profile System

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