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http://dx.doi.org/10.7468/jksmee.2017.31.2.187

A Causal Model Analysis of Non-Cognitive Characteristics of Mathematics Learning  

Lee, Hwan Chul (Korea Foundation for the Advancement of Science and Creativity)
Kim, Hyung Won (School of Mathematical and Statistical Sciences, University of Texas Rio Grande Valley)
Baeck, SeungGeun (Admission office of Ajou University, Ajou University)
Ko, Ho Kyoung (Graduate School of Education, Ajou University)
Yi, Hyun Sook (Department of Education, Konkuk University)
Publication Information
Communications of Mathematical Education / v.31, no.2, 2017 , pp. 187-201 More about this Journal
Abstract
The study in this paper, which is part of a bigger study investigating non-cognitive characteristics of Korean students at the 4-12 grade levels, aims to identify the influential characteristics that explain students' decision to give up on mathematics learning. We consider seven non-cognitive student characteristics: value, interest, attitudes, external motivation, internal motivation, learning conation and efficacy. Data were collected from 21,485 Korean students, and were analyzed with a logistic regression method using SPSS. The findings show that efficacy was the most significant indicator of students' decision to give up on mathematics learning in all three grade level bands: elementary (4th-6th), middle (7th-9th) and high (10th-12th). In particular, the causal model analysis shows that students who highly value mathematics tend to have stronger internal and external motivation, which bring about stronger interest and learning conation, which in turn lead to positive attitudes and strong efficacy regarding the learning of mathematics. It was further found that while external motivation was a significant indicator of upper grade level students' decision to give up on mathematics learning, it was only a moderate indicator for lower grade level students. The findings of this study provide useful information about which non-cognitive areas need to be focused on, in what grade levels, to help students stay on track and not fall behind in learning mathematics.
Keywords
Non-cognitive Characteristics; Causal Model Analysis; efficacy;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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