Predicting student retention among a homogeneous population using data mining

G Bilquise, S Abdallah, T Kobbaey - International Conference on …, 2019 - Springer
Student retention is one of the biggest challenges facing academic institutions worldwide as
it does not only affects the student negatively but also hinders institutional quality and …

A comparative analysis of machine learning techniques for student retention management

D Delen - Decision Support Systems, 2010 - Elsevier
Student retention is an essential part of many enrollment management systems. It affects
university rankings, school reputation, and financial wellbeing. Student retention has …

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 …

[PDF][PDF] Towards freshman retention prediction: a comparative study

A Djulovic, D Li - International Journal of Information and Education …, 2013 - ijiet.org
The objective of this research is to employ data mining tools and techniques on student
enrollment data to predict student retention among freshman student populations. In …

Mining Education data to predict student's retention: a comparative study

SK Yadav, B Bharadwaj, S Pal - arXiv preprint arXiv:1203.2987, 2012 - arxiv.org
The main objective of higher education is to provide quality education to students. One way
to achieve highest level of quality in higher education system is by discovering knowledge …

Mining educational data using classification to decrease dropout rate of students

S Pal - arXiv preprint arXiv:1206.3078, 2012 - arxiv.org
In the last two decades, number of Higher Education Institutions (HEI) grows rapidly in India.
Since most of the institutions are opened in private mode therefore, a cut throat competition …

Machine learning in higher education: Predicting student attrition status using educational data mining

G Jaiswal, A Sharma, R Sarup - … of research on emerging trends and …, 2020 - igi-global.com
Abstract Machine learning aims to give computers the ability to automatically learn from
data. It can enable computers to make intelligent decisions by recognizing complex patterns …

[PDF][PDF] Survival analysis approach for early prediction of student dropout using enrollment student data and ensemble models

FF Patacsil - Universal Journal of Educational Research, 2020 - academia.edu
Abstract The Universal Access to Quality Tertiary Education Act is a law in the Philippines
that provides college students with free tuition and other fees in Philippine state universities …

[PDF][PDF] Machine learning algorithms and predictive models for undergraduate student retention

JW Jia, M Mareboyana - Proceedings of the World Congress on …, 2013 - academia.edu
In this paper, we have presented some results of undergraduate student retention using
machine learning algorithms classifying the student data. We have also made some …

[PDF][PDF] Predicting student enrollments and attrition patterns in higher educational institutions using machine learning.

S Shilbayeh, A Abonamah - Int. Arab J. Inf. Technol., 2021 - researchgate.net
In higher educational institutions, student enrollment management and increasing student
retention are fundamental performance metrics to academic and financial sustainability. In …