Data mining applications in higher education and academic intelligence management

VP Bresfelean - Theory and novel applications of machine …, 2009 - books.google.com
Higher education institutions are nucleus of research and future development acting in a
competitive environment, with the prerequisite mission to generate, accumulate and share …

Data mining application in higher learning institutions

N Delavari, S Phon-Amnuaisuk… - Informatics in Education …, 2008 - ceeol.com
One of the biggest challenges that higher learning institutions face today is to improve the
quality of managerial decisions. The managerial decision making process becomes more …

Educational data mining: prediction of students' academic performance using machine learning algorithms

M Yağcı - Smart Learning Environments, 2022 - Springer
Educational data mining has become an effective tool for exploring the hidden relationships
in educational data and predicting students' academic achievements. This study proposes a …

[HTML][HTML] Analyzing students' academic performance using educational data mining

S Sarker, MK Paul, STH Thasin, MAM Hasan - Computers and Education …, 2024 - Elsevier
Abstract Educational Data Mining (EDM) is the process of extracting useful information and
knowledge from educational data. EDM identifies patterns and trends from educational data …

Data mining in higher education

DAA AlHammadi, MS Aksoy - Periodicals of engineering and …, 2013 - pen.ius.edu.ba
Data mining is slowly but surely making its way into the educational field after dominating
the business fields. This paper focuses on the research completed in the area of data mining …

A new data mining model adopted for higher institutions

MI Al-Twijri, AY Noaman - Procedia Computer Science, 2015 - Elsevier
In the current times, one of the biggest challenges that educational institutions face in both
the developing and developed nations is the explosive growth of educational data and to …

Data mining in higher education

R Llorente, M Morant - New fundamental technologies in data …, 2011 - books.google.com
Higher Education targets to develop complex theoretical, abstract and analytical reasoning
capabilities in the alumni. This objective can be accomplished addressing four major steps …

Computational intelligence in data mining-volume

LC Jain, HS Behera, JK Mandal… - Proceedings of the …, 2014 - Springer
The contributed volume aims to explicate and address the difficulties and challenges for the
seamless integration of two core disciplines of computer science, ie, computational …

Student data mining solution–knowledge management system related to higher education institutions

S Natek, M Zwilling - Expert systems with applications, 2014 - Elsevier
Higher education institutions (HEIs) are often curious whether students will be successful or
not during their study. Before or during their courses the academic institutions try to estimate …

Predicting students' performance employing educational data mining techniques, machine learning, and learning analytics

A Alam, A Mohanty - International Conference on Communication …, 2022 - Springer
Student success is important in colleges and universities since it is often used as a measure
of the institution's effectiveness. Identifying at-risk students early on and implementing …