Student retention using educational data mining and predictive analytics: a systematic literature review
Student retention is an essential measurement metric in education, indicated by retention
rates, which are accumulated as students re-enroll from one academic year to the next. High …
rates, which are accumulated as students re-enroll from one academic year to the next. High …
Causes of academic dropout in higher education in Andalusia and proposals for its prevention at university: A systematic review
JC de la Cruz-Campos, JJ Victoria-Maldonado… - Frontiers in …, 2023 - frontiersin.org
Introduction One of the main problems facing the university system is the high student
dropout rate due to a number of variables, accentuated by the COVID-19 pandemic. This is a …
dropout rate due to a number of variables, accentuated by the COVID-19 pandemic. This is a …
[HTML][HTML] Factores asociados al rendimiento académico en estudiantes universitarios
JA Gutiérrez-Monsalve, J Garzón… - Formación …, 2021 - SciELO Chile
Se presenta una metodología para determinar las variables asociadas al rendimiento
académico universitario (RA) de una cohorte de estudiantes del año 2014 en una …
académico universitario (RA) de una cohorte de estudiantes del año 2014 en una …
Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics
Student attrition poses a major challenge to academic institutions, funding bodies and
students. With the rise of Big Data and predictive analytics, a growing body of work in higher …
students. With the rise of Big Data and predictive analytics, a growing body of work in higher …
Developing a learning analytics intervention in e-learning to enhance students' learning performance: A case study
Abstract The emergence of Learning Analytics has brought benefits to the educational field,
as it can be used to analyse authentic data from students to identify the problems …
as it can be used to analyse authentic data from students to identify the problems …
Machine learning prediction of university student dropout: Does preference play a key role?
University dropout rates are a problem that presents many negative consequences. It is an
academic issue and carries an unfavorable economic impact. In recent years, significant …
academic issue and carries an unfavorable economic impact. In recent years, significant …
Factors influencing dropout students in higher education
Nurmalitasari, Z Awang Long… - Education Research …, 2023 - Wiley Online Library
Dropout students are a severe problem in higher education (HE) in many countries. Student
dropout has a tremendous negative impact not only on individuals but also on universities …
dropout has a tremendous negative impact not only on individuals but also on universities …
Prediction of early dropout in higher education using the SCPQ
EJ Lizarte Simón, J Gijón Puerta - Cogent Psychology, 2022 - Taylor & Francis
There is enormous concern at the international level vis-à-vis the retention of students in
universities. Given that dropout rates and their social repercussions are causing great …
universities. Given that dropout rates and their social repercussions are causing great …
Early and dynamic socio-academic variables related to dropout intention: A predictive model made during the pandemic
J Maluenda-Albornoz, V Infante-Villagrán… - Sustainability, 2022 - mdpi.com
Social and academic integration variables have been shown to be relevant for the
understanding of university dropout. However, there is less evidence regarding the influence …
understanding of university dropout. However, there is less evidence regarding the influence …
From lab to production: Lessons learnt and real-life challenges of an early student-dropout prevention system
This paper presents the work done to support student dropout risk prevention in a real online
e-learning environment: A Spanish distance university with thousands of undergraduate …
e-learning environment: A Spanish distance university with thousands of undergraduate …