Supporting Decision-Making Process on Higher Education Dropout by Analyzing Academic, Socioeconomic, and Equity Factors through Machine Learning and Survival Analysis Methods in the Latin American Context
The prediction of university dropout is a complex problem, given the number and diversity of variables involved. Therefore, different strategies are applied to understand this educational phenomenon, although the most outstanding derive from the joint application of statistical approaches and comput...
Saved in:
Main Authors: | Daniel A. Gutierrez-Pachas (Author), Germain Garcia-Zanabria (Author), Ernesto Cuadros-Vargas (Author), Guillermo Camara-Chavez (Author), Erick Gomez-Nieto (Author) |
---|---|
Format: | Book |
Published: |
MDPI AG,
2023-02-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
How Do Curricular Design Changes Impact Computer Science Programs?: A Case Study at San Pablo Catholic University in Peru
by: Daniel A. Gutierrez-Pachas, et al.
Published: (2022) -
The Academic Dropout Wheel Analyzing the Antecedents of Higher Education Dropout in Education Studies
by: Hind Naaman
Published: (2021) -
An examination of socioeconomic equity in health experiences in six Latin American and Caribbean countries
by: Jessica Greene, et al.
Published: (2018) -
Student retention and dropout in Higher Education in Latin America and the Caribbean: A systematic review
by: Felipe René Munizaga Mellado, et al.
Published: (2018) -
Application of non-parametric models for analyzing survival data of COVID-19 patients
by: Sarada Ghosh, et al.
Published: (2021)