Systematic ensemble model selection approach for educational data mining
A plethora of research has been done in the past focusing on predicting student's
performance in order to support their development. Many institutions are focused on …
performance in order to support their development. Many institutions are focused on …
A data mining approach to predict academic performance of students using ensemble techniques
Abstract Recently, Educational Data Mining (EDM), emerged as a new area of research due
to the enlargement of various statistical methods used to explore data in educational …
to the enlargement of various statistical methods used to explore data in educational …
Examining successful attributes for undergraduate students by applying machine learning techniques
CY Ko, FY Leu - IEEE Transactions on Education, 2020 - ieeexplore.ieee.org
Contribution: This study applies supervised and unsupervised machine learning (ML)
techniques to discover which significant attributes that a successful learner often …
techniques to discover which significant attributes that a successful learner often …
Factors affecting students' performance in higher education: a systematic review of predictive data mining techniques
Predicting the students' performance has become a challenging task due to the increasing
amount of data in educational systems. In keeping with this, identifying the factors affecting …
amount of data in educational systems. In keeping with this, identifying the factors affecting …
[HTML][HTML] A practical model for the evaluation of high school student performance based on machine learning
The objective of this research is to develop an machine learning (ML)-based system that
evaluates the performance of high school students during the semester and identify the most …
evaluates the performance of high school students during the semester and identify the most …
Study of students' performance prediction models using machine learning
MS Viswanathan - Turkish Journal of Computer and Mathematics …, 2021 - turcomat.org
Abstract Educational Data Mining (EDM) is a novel concept associated with developing
methods for exploring the specific types of data produced by educational settings and using …
methods for exploring the specific types of data produced by educational settings and using …
[PDF][PDF] The prediction of students' academic performance using classification data mining techniques
Data Mining provides powerful techniques for various fields including education. The
research in the educational field is rapidly increasing due to the massive amount of students' …
research in the educational field is rapidly increasing due to the massive amount of students' …
A decision support system for predicting students' performance
Educational data mining is an emerging research field concerned with developing methods
for exploring the unique types of data that come from educational context. These data allow …
for exploring the unique types of data that come from educational context. These data allow …
Student performance prediction using datamining classification algorithms: Evaluating generalizability of models from geographical aspect
A Parhizkar, G Tejeddin, T Khatibi - Education and Information …, 2023 - Springer
Increasing productivity in educational systems is of great imprtance. Researchers are keen
to predict the academic performance of students; this is done to enhance the overall …
to predict the academic performance of students; this is done to enhance the overall …
Using educational data mining techniques to predict student performance
B Al Breiki, N Zaki, EA Mohamed - … International Conference on …, 2019 - ieeexplore.ieee.org
Educational Data Mining (EDM) involves the extraction of concepts and similar useful
information from data sets that store information about academic work. EDM incorporates a …
information from data sets that store information about academic work. EDM incorporates a …