Outcomes of Schooling: Mathematics Achievement and Attitudes towards Mathematics Learning in Hong Kong

1988 ◽  
pp. 209-219 ◽  
Author(s):  
K. C. Cheung
Keyword(s):  
Hong Kong ◽  
Mathematics Achievement ◽  
Mathematics Learning ◽  
Attitudes Towards Mathematics

scholarly journals PRESTASI BELAJAR MATEMATIKA DITINJAU DARI SIKAP OPTIMIS DAN PESIMIS SISWA SMA

2018 ◽  
Vol 1 (2) ◽  
pp. 19-24
Author(s):  
Lenny Kurniati ◽  
Asef Umar Fakhruddin
Keyword(s):  
High Schools ◽  
Mathematics Education ◽  
Mathematics Achievement ◽  
Mathematics Learning ◽  
Average Score ◽  
Learning Achievement ◽  
Research Hypothesis

Pessimism is the attitude or perspective of an individual who is depicted by uncertainty, despair, and there is no hope for something faced. Conversely, optimism is the attitude of someone who sees things positively. This study aims to find out how students who have optimistic and pessimistic attitudes, and find out the differences in students' mathematics achievement between optimistic and pessimistic students, and if there are better ones. This research was conducted in 4 (four) State High Schools in Semarang City, and 498 XII graders has been chosen randomly. The result is that 55% of students are pessimistic, and 45% are optimistic. The research hypothesis that there are differences in mathematics learning achievement between optimistic and pessimistic students has been proven in the results of this study. Significant differences were also confirmed through the results of statistical calculations, and can be indicated by the average score of the optimistic students is higher than pessimistic students. Further discussion is needed on the implications of the results of this study on mathematics education broadly.

LEARNING APPROACH, ASSESSMENT MODEL, AND EARLY NUMERICAL ABILITY ON MATHEMATICS ACHIEVEMENT

2017 ◽  
Vol 3 (2) ◽  
pp. 1
Author(s):  
Sadono Sadono
Keyword(s):  
Mathematics Achievement ◽  
Learning Outcomes ◽  
Positive Impact ◽  
Mathematics Learning ◽  
Assessment Model ◽  
Realistic Mathematics Education ◽  
Learning Approach ◽  
Learning Approaches ◽  
Numerical Ability ◽  
Realistic Mathematics

Using the real things and engaging the envoiroment in mathematics learning will assist the learners in understanding the concept greatly. The support of learning approaches and assessment model will give a positive impact on learning outcomes of students. Through the experimental research with 2 x 2 design found the results that learning apprroaches and assessment models are dependent each other in affecting the student’s mathematics outcomes. Realistic Mathematics Education (RME) approach is more appropriate to use performance assessment model because it can provide a better impact on mathematics learning outcomes after controlling the early numerical ability of students. While the thematic approach is more appropriate to use the paper tests in mathematics learning.

Do children with mathematics learning disability in Hong Kong perceive word problems differently?

2020 ◽  
Vol 68 ◽  
pp. 101352
Author(s):  
Eason Sai-Kit Yip ◽  
Terry Tin-Yau Wong ◽  
Sing-Hang Cheung ◽  
Kelvin King-Wun Chan
Keyword(s):  
Hong Kong ◽  
Learning Disability ◽  
Word Problems ◽  
Mathematics Learning

scholarly journals Predicting Third-Grade Mathematics Achievement: A Longitudinal Investigation of the Role of Early Numeracy Skills

2019 ◽  
Vol 42 (3) ◽  
pp. 161-174
Author(s):  
Allyson J. Kiss ◽  
Gena Nelson ◽  
Theodore J. Christ
Keyword(s):  
Mathematics Achievement ◽  
Mathematics Learning ◽  
First Grade ◽  
Third Grade ◽  
Early Numeracy ◽  
Proficiency Level ◽  
Mathematics Skills ◽  
Early Predictors ◽  
State Test

Despite the vast research on the early predictors of mathematics achievement, little research has investigated the predictors of various domains of mathematics (e.g., geometry, statistics). The purpose of the present study was to examine the predictive relation between first-grade early numeracy and computation skills and third-grade mathematics achievement as measured by a state test. Furthermore, we explored the relations between these measures for students who were Below Proficient and Proficient. Findings suggest that proficiency level matters when examining the relation between mathematics skills. Also, there are different patterns of significant predictors depending on the domain of later mathematics achievement and whether or not reading achievement was considered. Findings are discussed in the context of mathematics learning for students with mathematics difficulty.

Mathematics Learning and the Sexes: A Review

1974 ◽  
Vol 5 (3) ◽  
pp. 126-139 ◽  
Author(s):  
Elizabeth Fennema
Keyword(s):  
High School ◽  
Sex Differences ◽  
Mathematics Achievement ◽  
Mathematics Learning ◽  
Upper Elementary ◽  
Cognitive Tasks ◽  
Achievement Data ◽  
National Longitudinal Study ◽  
Elementary Years ◽  
Better Than

It has long been accepted as true that boys learn mathematics better than girls do. To determine the validity of this belief, 36 studies concerned basically or tangentially with sex differences in mathematics achievement were reviewed and two others were analyzed in depth. The data from one study (Parsley, et al., 1964), which often has been quoted as supportive of boys' mathematics superiority, was reevaluated with the conclusion that the data from this study do not support the idea that boys are superior to girls in mathematics achievement. Data concerned with sex differences in achievement from the National Longitudinal Study of Mathematics Achievement were also presented.No significant differences between boys' and girls' mathematics achievement were found before boys and girls entered elementary school or during early elementary years. In upper elementary and early high school years significant differences were not always apparent. However, when significant differences did appear they were more apt to be in the boys' favor when higher-level cognitive tasks were being measured and in the girls' favor when lower-level cognitive tasks were being measured. No conclusion can be reached concerning high school learners.

Engagement with Mathematics Courseware in Traditional and Online Remedial Learning Environments: Relationship to Self-Efficacy and Achievement

2007 ◽  
Vol 37 (3) ◽  
pp. 267-288 ◽  
Author(s):  
Dianna J. Spence ◽  
Ellen L. Usher
Keyword(s):  
Mathematics Achievement ◽  
Learning Environments ◽  
Self Efficacy ◽  
Cognitive Theory ◽  
Mathematics Learning ◽  
Self Regulation ◽  
Online Environment ◽  
And Mathematics ◽  
Computer Self Efficacy ◽  
Mathematics Self Efficacy

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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