Community And Family Math Nights As A Vehicle For Mathematics Success

The socio-economic and demographic factors have been indicated to predict mathematics success. However, there is paucity of research to verify if these factors correlate with mathematics success at university level in South Africa. Hence, this paper reports on the socio-economic and demographic factors that correlate with mathematics success for civil and built environment students at a comprehensive university in South Africa. The data was obtained through, questionnaire survey from 197 students who were purposive sampled. The data was analysed using Statistical Package for the Social Sciences (SPSS) version 22. The study found that the correlation between the dependant variable and the independent variables that did not violet the assumption of each cell having more than five counts were insignificant. The cross tabulation results on frequencies should be interpreted with caution. The result indicates arithmetic difference in most of the independent variables. Male students performed better than female students in mathematics. However, the differences between the groups are not statistically significant as indicated with the Chi-square test.

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Seeking mathematics success for college students: a randomized field trial of an adapted approach

International Journal of Mathematical Education in Science and Technology ◽

10.1080/0020739x.2015.1029026 ◽

2015 ◽

Vol 46 (8) ◽

pp. 1130-1148 ◽

Cited By ~ 2

Author(s):

Taras Gula ◽

Carolyn Hoessler ◽

Wes Maciejewski

Keyword(s):

College Students ◽

Field Trial ◽

Randomized Field Trial ◽

Mathematics Success

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Variable selection via the adaptive elastic net: mathematics success of the students in Singapore and Turkey

Volume 1, Issue 1 - Journal of Applied Microeconometrics ◽

10.53753/jame.1.1.04 ◽

2021 ◽

Vol 1 (1) ◽

pp. 41-55

Author(s):

Kadriye Hilal Topal

Keyword(s):

Variable Selection ◽

Communication Technologies ◽

Elastic Net ◽

Quality Of Education ◽

Information Communication Technologies ◽

Information Communication ◽

Regression Methods ◽

Adaptive Elastic Net ◽

Mathematics Success

The quality of education is crucial for its competitiveness in the developing world. International tests are organized at regular intervals to measure the quality of education and to see the place in the ranking of countries. The surveys on these examinations have provided a large number of variables that can be effective on the scores of the tests, including family, teacher, school and course equipment and information communication technologies, etc. The important question is which variables are relevant for the students' achievement in these tests. We investigated the barriers of mathematics success of Turkish students in the TIMSS exam and compared their status with Singaporean students who took part in at top of the ranking in the exam. For this, we employed the adaptive elastic net which is one of the regularized regression methods to dataset and compared their prediction accuracy according to three different alpha levels [0.1; 0.5; 0.9] to determine the model that has high variable selection ability with optimal prediction. The adaptive elastic net with the alpha level [0.9] was selected as superior to others. As the findings, a technology-oriented education system can help to success of the students in Turkey and the countries having similar experiences in international tests.

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