University Dropout Prevention through the Application of Big Data
Author:
Affiliation:
1. Zhaoqing University, China
Publisher
ACM
Reference14 articles.
1. Lin Xiaoli 2016. Forecast report on the number of first-year students in colleges and universities (2016 - 2031 academic year). Department of Statistics Taiwan Ministry of Education. Lin Xiaoli 2016. Forecast report on the number of first-year students in colleges and universities (2016 - 2031 academic year). Department of Statistics Taiwan Ministry of Education.
2. Preventing Student Disengagement and Keeping Students on the Graduation Path;Balfanz R.;Urban Middle-Grades Schools: Early Identification and Effective Interventions. Educ. Psychol,2007
3. Dynarski M.; Gleason P. How Can We Help? What We Have Learned From Recent Federal Dropout Prevention Evaluations. J. Educ. Stud. Placed Risk (JESPAR) 2002 7 43--69. Dynarski M.; Gleason P. How Can We Help? What We Have Learned From Recent Federal Dropout Prevention Evaluations. J. Educ. Stud. Placed Risk (JESPAR) 2002 7 43--69.
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1. Educational Data Mining for Dropout Prediction: Trends, Opportunities, and Challenges;Revista Brasileira de Informática na Educação;2024-05-20
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