Predictive Model to Identify College Students with High Dropout Rates
Decreasing student attrition rates is one of the main objectives of most higher education institutions. However, to achieve this goal, universities need to accurately identify and focus their efforts on students most likely to quit their studies before they graduate. This has given rise to a need to...
Saved in:
Main Authors: | Jhoan Keider Hoyos Osorio (Author), Genaro Daza Santacoloma (Author) |
---|---|
Format: | Book |
Published: |
Universidad Autónoma de Baja California,
2023-05-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
New Approach to reduce High School Dropout Rates
by: Mauricio Cristhian Portillo-Torres
Published: (2015) -
Identifying Students at Risk to Academic Dropout in Higher Education
by: María Gómez Gallego, et al.
Published: (2021) -
Patterns to Identify Dropout University Students with EducationalData Mining
by: Argelia Berenice Urbina-Nájera, et al.
Published: (2021) -
Dropout or permanence? Predictive models for higher education management
by: Fernanda Cristina da Silva, et al.
Published: (2020) -
Project to decrease repetition and dropout rates
by: Nelson Marcelo Aldaz Herrera
Published: (2012)