University student retention: Best time and data to identify undergraduate students at risk of dropout
JM Ortiz-Lozano, A Rua-Vieites… - … in education and …, 2018 - Taylor & Francis
Student dropout is a major concern in studies investigating higher education retention
strategies. However, studies investigating the optimal time to identify students who are at risk …
strategies. However, studies investigating the optimal time to identify students who are at risk …
Bachelor's degree student dropouts: Who tend to stay and who tend to leave?
P Berka, L Marek - Studies in Educational Evaluation, 2021 - Elsevier
Factors of students' dropout can be studied either by surveys among students or by
analyzing data the university collects. In the work reported in this paper, we analyzed data …
analyzing data the university collects. In the work reported in this paper, we analyzed data …
Dropout and transfer paths: What are the risky profiles when analyzing university persistence with machine learning techniques?
University dropout is a growing problem with considerable academic, social and economic
consequences. Conclusions and limitations of previous studies highlight the difficulty of …
consequences. Conclusions and limitations of previous studies highlight the difficulty of …
Dropping out of university: a literature review
A Behr, M Giese, HD Teguim Kamdjou… - Review of …, 2020 - Wiley Online Library
This study provides a comprehensive review of the phenomenon of students dropping out
from tertiary education. Student withdrawal is the result of a long decision‐making process …
from tertiary education. Student withdrawal is the result of a long decision‐making process …
Data mining and machine learning retention models in higher education
This study presents a systematic review of the literature on the predicting student retention in
higher education through machine learning algorithms based on measures such as dropout …
higher education through machine learning algorithms based on measures such as dropout …
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 …
Analysis of first-year university student dropout through machine learning models: A comparison between universities
Student dropout, defined as the abandonment of a high education program before obtaining
the degree without reincorporation, is a problem that affects every higher education …
the degree without reincorporation, is a problem that affects every higher education …
Predicting student attrition with data mining methods
D Delen - Journal of College Student Retention: Research …, 2011 - journals.sagepub.com
Affecting university rankings, school reputation, and financial well-being, student retention
has become one of the most important measures of success for higher education institutions …
has become one of the most important measures of success for higher education institutions …
[HTML][HTML] Freshmen program withdrawal: Types and recommendations
University program dropout is a problem that has important consequences not only for the
student that leaves but also for the institution in which the withdrawal occurs. Therefore …
student that leaves but also for the institution in which the withdrawal occurs. Therefore …
Predicting student dropout in higher education
L Aulck, N Velagapudi, J Blumenstock… - arXiv preprint arXiv …, 2016 - arxiv.org
Each year, roughly 30% of first-year students at US baccalaureate institutions do not return
for their second year and over $9 billion is spent educating these students. Yet, little …
for their second year and over $9 billion is spent educating these students. Yet, little …