The Factors Affecting University Retention/ Attritionby Big Data Analytics

• Autores: Richard Cho, Dongmin Kim
• Localización: 5th International Conference on Higher Education Advances (HEAd' 19) / Josep Domènech i de Soria (ed. lit.), Paloma Merello Giménez (ed. lit.), Elena de la Poza Plaza (ed. lit.), Desamparados Blázquez (ed. lit.), Raúl Peña Ortiz (ed. lit.), 2019, ISBN 978-84-9048-661-0, págs. 991-1000
• Idioma: inglés
• Enlaces
  • Texto Completo Libro  1    2  
• Resumen

  • Using the enrollment data at the Faculty of Business (FOB) in the University of New Brunswick, Saint John (UNBSJ), we perform the big data analytics to examine the cause of attrition: a) the existence of potential risk groups and b) the potential courses, which can be the predictors of student attrition in the first few years in the university. The logistic regression was used to find the potential predictors for students’ retention in UNBSJ, and the cluster analysis also suggests the existence of inherently high-risk groups in UNBSJ students.

    By providing institutional support for the high-risk groups to successfully complete the program, the retention rate could be improved.