An Overview on the Use of Educational Data Mining for Constructing Recommendation Systems to Mitigate Retention in Higher Education

De Oliveira, Thiago Nazareth; Bernardini, Flavia; Viterbo, Jose

doi:10.1109/fie49875.2021.9637207

An Overview on the Use of Educational Data Mining for Constructing Recommendation Systems to Mitigate Retention in Higher Education

In higher education, many students exceed the expected time to complete their undergraduate programs. This delay is called retention, which can lead to program abandonment. STEM undergraduate programs, in particular, have higher retention and dropout rates when compared to other non-STEM programs…