Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization

Author:

Niyogisubizo JovialORCID,Liao Lyuchao,Nziyumva Eric,Murwanashyaka Evariste,Nshimyumukiza Pierre Claver

Funder

National Natural Science Foundation of China

Fujian Provincial Department of Science and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Education

Reference77 articles.

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2. Effect of outlier detection on clustering accuracy and computation time of CHB K-means algorithm;Aparna,2016

3. Predicting student dropout in higher education;Aulck,2016

4. Educational data mining and learning analytics;Baker,2014

5. Preventing student disengagement and keeping students on the graduation path in urban middle-grades schools: Early identification and effective interventions;Balfanz;Educational Psychologist,2007

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