The integration of educational data mining and deep neural networks, along with the adoption of the Apriori algorithm for generating association rules, focuses to resolve the problem of misdirection of students in the university, leading to their failure and dropout. This is reached through the development of an intelligent model that predicts the…

Peers may both promote conformity and discourage ambitious choices when students make educational decisions. Low socioeconomic status (SES) students may be more sensitive to outside influence than high SES students when making educational decisions. Considering the case of choosing between an academic track and a vocational track in Danish…

Online learning sessions are becoming increasingly common. In this study, we reviewed over 150 studies of online and blended learning, revealing that the factors that affect student preferences for online or in-person learning vary widely and compiled a table of these factors. They can be categorized as either learning preferences or current…

Native speakers strongly disprefer novel formulations when a conventional alternative expresses the same intended message, presumably because the more conventional form competes with the novel form. In five studies, second language (L2) speakers were less influenced by competing alternatives than native speakers. L2 speakers accepted novel…

Attracting and retaining teachers can be an important ingredient in improving low-performing schools. In this study, we estimate the expressed preferences for teachers who have worked in low-performing schools in Tennessee. Using adaptive conjoint analysis survey design, we examine three types of school attributes that may influence teachers'…

A crucial issue in the European Union (EU) is which policies should be regulated by EU and which ones by national governments. Given this situation it is interesting to study the citizens' preference for the level of political decision making. The interest of the paper is mainly empirical, which consists in the creation of a measure for…

Evaluation of attributes of a subcompact car were combined in linear regressions predicting liking and purchase intention. Of two forms--raw scales and scales weighted by the importance attached to each attribute by each subject--unweighted evaluations proved more consistent and important predictors than those weighted by their saliency. (Author)