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Modelling Student Dropout Risk Using Survival Analysis and Analytic Hierarchy Process for an Undergraduate Accounting Program
A combination of mathematical and statistical modelling techniques may be used to analyse student dropout behaviour. The aim of this study is to combine Survival Analysis and Analytic Hierarchy Process methodologies when ...
Improvement of Academic Analytics Processes Through the Identification of the Main Variables Affecting Early Dropout of First-Year Students in Technical Degrees. A Case Study
The field of research on the phenomenon of university dropout and the factors that promote it is of the utmost relevance, especially in the current context of the Covid-19 pandemic. Students who have started degrees in the ...
Rurality and Dropout in Virtual Higher Education Programmes in Colombia
As part of the 2030 Agenda, higher education has been conceptualised as one of the ways to overcome the social disparities experienced in rural areas in Colombia. Thus, in concordance with the benefits of this level of ...
Modelling two types of heterogeneity in the analysis of student success
(2019-01-01)
Student dropout is a worldwide problem, leading private and public universities in developed and underdeveloped countries to study the subject carefully or, as has recently been done, to analyse what drives student success. ...
Curricular analytics to characterize educational trajectories in high-failure rate courses that lead to late dropout
(2021)
Featured Application, In this work, Process Mining techniques are used, with a curricular analytics approach, to understand the educational trajectories of higher education students.", "Late dropout is one of the most ...
Dropout through extended association rule netwoks: A complementary view
(2020-01-01)
Dropout is a critical problem that has been studied by data mining methods. The most widely used algorithm in this context is C4.5. However, the understanding of the reasons why a student dropout is a result of its ...
Predictive model to reduce the dropout rate of university students in Perú: Bayesian Networks vs. Decision Trees
(IEEE Computer Society, 2020-06-01)
This research proposes a prediction model that might help reducing the dropout rate of university students in Peru. For this, a three-phase predictive analysis model was designed which was combined with the stages proposed ...
Perceptions of peer tutoring at a University in Chile
(Pontificia Universidad Javeriana, 2020)
The purpose of this Action Research study is to explore students' perceptions of their experience in an Academic Support Program* (ASP) implemented in a Chilean university to align students' lack of competencies to the ...