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Barakat, Asia; Othman, Afaf – Journal of Education and Practice, 2015
The present study aims to identify the relationship between the five-factor model of personality and its relationship to cognitive style (rush and prudence) and academic achievement among a sample of students. The study is based on descriptive approach for studying the relationship between the variables of the study, results and analysis. The…
Descriptors: Foreign Countries, Cognitive Style, Academic Achievement, Correlation
Ivaniushina, Valeria; Alexandrov, Daniel – British Journal of Sociology of Education, 2018
This article explores the relationship between educational outcomes and anti-school attitudes at different levels of social organization in schools. Data were collected in St. Petersburg, Russia (104 schools, 7300 students) and analyzed using multi-level regression models that included three levels: individual, clique of friends and school. A…
Descriptors: School Culture, Individual Characteristics, Social Environment, Values
Awuah, Lawrence J. – Journal of Instructional Research, 2015
The future of higher education is likely to be driven by to the willingness to adapt and grow with the use of technologies in teaching, learning, and research. Google Apps for Education (GAFE) is a powerful cloud-computing solution that works for students regardless of their location, time, or the type of device being used. GAFE is used by…
Descriptors: Courseware, Higher Education, Computer Software, Computer Software Reviews
McArdle, John J.; Paskus, Thomas S.; Boker, Steven M. – Multivariate Behavioral Research, 2013
This is an application of contemporary multilevel regression modeling to the prediction of academic performances of 1st-year college students. At a first level of analysis, the data come from N greater than 16,000 students who were college freshman in 1994-1995 and who were also participants in high-level college athletics. At a second level of…
Descriptors: Multivariate Analysis, Multiple Regression Analysis, Hierarchical Linear Modeling, College Athletics
Ziya, Engin; Dogan, Nuri; Kelecioglu, Hulya – Turkish Online Journal of Educational Technology - TOJET, 2010
This study aims at determining the extent to which computer using skills specified in Project for International Students Evaluation (PISA) 2006 predict Turkish students' achievement in mathematics. Apart from questions on mathematics, science and reading competencies, a student questionnaire, a school questionnaire and a parent questionnaire were…
Descriptors: Mathematics Achievement, Academic Achievement, Questionnaires, Computers