scholarly journals Factors affecting the Mathematics achievement of Turkish students in PISA 2012

2015 ◽  
Vol 10 (12) ◽  
pp. 1670-1678 ◽  
Author(s):  
Uysal Sengul
1976 ◽  
Vol 3 (1) ◽  
pp. 51-65
Author(s):  
Ian Isaacs

The aim of this study is to examine the psychological and environmental vari­ables which are related to the mathematics achievement of third-year students in Jamaican post-primary schools. A correlational study of the inter-relations of thirteen independent variables with the criterion, mathematics achievement, was factor-analysed to produce four factors which account for most of the variation in mathematical performance. These four factors are related to (i) the social en­vironment of the student; (ii) affective personality traits characterised by the student's perception of his ability to do mathematics; (iii) the teachers of mathe­matics; and (iv) the degree of the urbanisation of the school's community.


Author(s):  
Roar Abalos Callaman ◽  
Estela Corro Itaas

Over the years, there have been several studies exploring the factors affecting mathematics achievement. However, no study, specifically in the Mindanao context has attempted to summarize or illustrate the model for these sets of studies. This study aims to analyze the overall effect size of the factors on the student’s achievement in mathematics. The causal-comparative research design was utilized to synthesize the existing research about the student-related, teacher-related, and school-related factors that have -greatly influenced students’ mathematics achievement. Through the use of a multi-stage sampling design, 200 existing studies were funneled down to 50 with 158 effect sizes which met the inclusion criteria coming from the different colleges and universities in Mindanao. To determine the significant factors be included in the model that significantly influence students’ achievement, Hierarchical Linear Modeling (HLM) was utilized. The findings revealed that the overall effect sizes have a small effect on mathematics achievement. On the other hand, mathematical skills, attitude, and self-efficacy are found to be the predictors of students’ mathematical achievement. Further, it was concluded that the type of school where the student is studying could cause significant variation in the effect sizes. It is recommended that educational institutions may review regularly the curriculum addressing the disparity of achievement between public and private schools. Also, teachers may utilize varied teaching strategies so that students would develop interest and positive learning attitudes towards mathematics.


2018 ◽  
Vol 8 (2) ◽  
pp. 253-280
Author(s):  
Emine Önder ◽  
Şeyma Uyar

The aim of this research is to assess factors affecting achievement of students coming from low socioeconomic background in PISA 2012 and with high and low achievement in mathematics performance. The research population consists of students who were 15 years old as of the date of PISA 2012 assessment. In the Turkey sample, there are 4848 students from a total of 170 schools from 57 cities in 12 statistical region units in PISA 2012. In this research, students within the lowest 33.00% section according to the economic sociocultural status index in the Turkey sample were included. The research was carried out with 218 students showing low achievement in mathematics and 173 students showing high achievement in mathematics including them all in socioeconomically disadvantaged group. As a result of the structural equation model applied considering students’ affective traits and achievement in mathematics, it is observed that the variable “attitude towards school” is a positive and significant predictor in the low achievement group. It is observed that the variable “affective characteristics towards mathematics” is a positive and significant predictor in the high achievement group while “attitude towards school” is a negative predictor of achievement in mathematics. These results can initiate attempts to review educational investments towards students’ achievement and can lead to fund transfers towards fields that can result in higher increase in achievement.


2015 ◽  
Vol 54 (1) ◽  
pp. 49-63
Author(s):  
Xiaoqing Xiang ◽  
Sichang Yum ◽  
Daejung Kang

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