scholarly journals Fuzzy Regression in Predicting Math Achievement, Based on Philosophic-Mindedness, Creativity, Mathematics Self-efficacy, and Mathematics Self-concept

Author(s):  
S. M. Taheri ◽  
M. Asadi ◽  
A. Shiralipour
2009 ◽  
Vol 7 (4) ◽  
pp. 387-398 ◽  
Author(s):  
Hsin-Yi Kung

The Third International Mathematics and Science Study research of the International Association for the Evaluation of Educational Achievement reported in 2003 that Taiwanese fourth- and eighth-graders' mathematics performance exceeded the international average; both groups ranked fourth from among all the participant countries. However, the Index of Students' Self-Confidence in Learning Mathematics was below the international average for both these groups. This study, coming at the end of the first year of a three-year project, explored Taiwanese students' mathematics learning at the high school level from a social cognitive perspective. Utilising structural equation modelling, it examined the relationships among mathematics self-concept, mathematics self-efficacy and mathematics achievement using a longitudinal design. The subjects included 2198 seventh- and tenth-graders from Taiwan. The results indicate a significant correlation between mathematics self-concept and mathematics self-efficacy as well as significant longitudinal effects. Mathematics achievement at Time 1 significantly predicted the mathematics self-concept, mathematics self-efficacy and mathematics achievement at Time 2, while mathematics self-concept and mathematics self-efficacy at Time 1 significantly predicted mathematics achievement at Time 2. The implications of these findings are discussed from the viewpoint of cultivating the students' interest and confidence in learning mathematics, and suggestions are provided for further research.


Author(s):  
Sunha Kim ◽  
Mido Chang ◽  
Namok Choi ◽  
Jeehyun Park ◽  
Heejung Kim

To promote the academic success of middle school students, the authors examined the effects of computer uses on mathematics self-efficacy and mathematics performance of students, paying focused attention to immigrant students. They analysed the effects of computer use for schoolwork and gaming of middle school students applying a Structural Equation Modeling (SEM) to Trends in International Mathematics and Science Study (TIMSS) USA. The results showed that when students frequently used computer for schoolwork, they revealed high mathematics self-efficacy, which in turn led to high mathematics performance. On the other hand, the students that used computer for gaming frequently indicated low mathematics self-efficacy and mathematics performance. The authors' study results highlight the importance of guiding students to use computers properly, which is directly and indirectly associated with students' self-efficacy and performance in mathematics.


2007 ◽  
Vol 37 (3) ◽  
pp. 267-288 ◽  
Author(s):  
Dianna J. Spence ◽  
Ellen L. Usher

This research applied Bandura's (1986) social cognitive theory to examine engagement with courseware in traditional and online remedial mathematics learning environments. The study investigated the relationship of courseware engagement to age, computer self-efficacy, computer playfulness, and self-efficacy for self-regulated mathematics learning. The study also analyzed mathematics achievement in terms of engagement, age, gender, mathematics grade self-efficacy, and self-efficacy for self regulated mathematics learning. Participants were 88 students in a traditional environment and 76 students in an online environment. The two groups differed significantly in age, mathematics grade self-efficacy, computer self-efficacy, computer playfulness, courseware engagement, and mathematics achievement. When controlled for age, all significant differences found between the two groups persisted. When controlled for mathematics self-efficacy, the groups no longer differed significantly in mathematics achievement, but all other significant differences remained. Computer self-efficacy and computer playfulness each had a significant association with courseware engagement in the online environment, but not in the traditional environment. Regression models revealed that course setting, age, and self-efficacy for self-regulation jointly predicted engagement with courseware. Both mathematics grade self-efficacy and age jointly predicted achievement. These findings support the views that mathematics self-efficacy is among the most significant predictors of mathematics achievement; computer self-efficacy and computer playfulness are associated with courseware engagement; and self-regulation is an important component of e-learning. Implications for researchers and educators are discussed.


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