Previous researchers have identified socioeconomic status as a significant predictor of achievement/literacy. However, it is important to recognize that the influence of socioeconomic status on literacy may vary at different levels of socioeconomic status. Thus, this study analyzes the relationship between socioeconomic status and literacy scores…

This study seeks to compare fixed and mixed effects models for the purposes of predictive classification in the presence of multilevel data. The first part of the study utilizes a Monte Carlo simulation to compare fixed and mixed effects logistic regression and random forests. An applied examination of the prediction of student retention in the…

Covariates have been used in mixture IRT models to help explain why examinees are classed into different latent classes. Previous research has considered manifest variables as covariates in a mixture Rasch analysis for prediction of group membership. Latent covariates, however, are more likely to have higher correlations with the latent class…

This study aims to compare the performances of the artificial neural network, decision trees and discriminant analysis methods to classify student achievement. The study uses multilayer perceptron model to form the artificial neural network model, chi-square automatic interaction detection (CHAID) algorithm to apply the decision trees method and…

Research has shown that foreign languages can be an important driver towards better job opportunities. This is more likely to be the case if young people take foreign languages into account when developing their career and educational expectations. These expectations depend greatly on the context and the opportunities students perceive to be…

What are crucial determinants of a country's average educational performance? Using data from the OECD PISA 2012 study on 58 countries, we develop a typology of educational regimes based on marketisation in terms of school autonomy and accountability. Following organisational theories, we expect that school autonomy is an ideal condition for…

The main objective of this paper is to show to what extent and why students with the same academic aptitude but different social backgrounds have different odds of entering university. For our analysis, we separated primary and secondary factors of social origin in the formation of educational inequalities. The results show that the primary and…

This case study analyzes how and why student engagement differs across 581 classes in one diverse high school. Factor analyses of surveys with 1,132 students suggest three types of engaging teaching practices--connective instruction, academic rigor, and lively teaching. Multilevel regression analyses reveal that connective instruction predicts…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…