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

H TOPAL - Journal of Applied Microeconometrics, 2021 - journals.gen.tr
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 …

Estimation of high school entrance examination success rates using machine learning and beta regression models

T Koç, P Akın - Journal of Intelligent Systems: Theory and …, 2022 - dergipark.org.tr
Education is the foundation of economic, social, and cultural development for every
individual and society as a whole. Students are accepted to secondary education institutions …

Variable selection methods applied to the mathematics scores of Indonesian students based on convex penalized likelihood

VM Santi, KA Notodiputro… - Journal of Physics …, 2019 - iopscience.iop.org
Variable selection is an important topic in linear regression analysis. In practice, a large
number of predictors usually are introduced at the initial stage of modeling to attenuate …

[PDF][PDF] A Study of Several Variable Selection Methods in Modelling the Mathematics Scores of Indonesian Students in Programme for International Student …

VM Santi, KA Notodiputro, B Sartono - Journal of Physic AASEC, 2019 - academia.edu
Variable selection is an important topic in linear regression analysis. In practice, a large
number of predictors usually are introduced at the initial stage of modeling to attenuate …

[HTML][HTML] TIMSS 2011 student and teacher predictors for mathematics achievement explored and identified via elastic net

JE Yoo - Frontiers in psychology, 2018 - frontiersin.org
A substantial body of research has been conducted on variables relating to students'
mathematics achievement with TIMSS. However, most studies have employed conventional …

Educational data mining methods for TIMSS 2015 mathematics success: Turkey case

E Filiz, E Öz - Sigma Journal of Engineering and Natural Sciences, 2020 - dergipark.org.tr
Educational data mining (EDM) is an important research area which has an ability of
analyzing and modeling educational data. Obtained outputs from EDM help researchers and …

Regression shrinkage and selection variables via an adaptive elastic net model

GJM Mahdi, NJ Mohammed… - Journal of Physics …, 2021 - iopscience.iop.org
In this paper, a new method of selection variables is presented to select some essential
variables from large datasets. The new model is a modified version of the Elastic Net model …

Estimation of student success with artificial neural networks

K Turhan, B Kurt, YZ Engin - Egitim ve Bilim, 2013 - search.proquest.com
Artificial neural networks are carried out with success in various research areas for the
settlement of classification, clustering and regression problems. It could also be used for …

Comparing the predictive and classification performances of logistic regression and neural networks: a case study on timss 2011

OE Askin, F Gokalp - Procedia-Social and Behavioral Sciences, 2013 - Elsevier
Investigating effective factors on students' achievement has wide application area in
educational studies. Specially, Trends in International Mathematics and Science Study …

Investigating comparability of ability parameter estimation in computerized adaptive and paper-pencil tests

N Sharifi Yeganeh, MR Falsafinejad… - Educational …, 2016 - jresearch.sanjesh.org
This study aimed to investigate the comparability of ability parameter estimation in
computerized adaptive with paper-pencil testing and finding the algorithm for optimal …