[PDF][PDF] A novel hybrid approach of Adaboostm2 algorithm and differential evolution for prediction of student performance
SSM Ajibade, NBB Ahmad… - International Journal of …, 2019 - academia.edu
The prediction of performance of student is a very important task for institutions of higher
learning. The academic performance of students aids the teachers, instructors and …
learning. The academic performance of students aids the teachers, instructors and …
An Optimized Bagging Ensemble Learning Approach Using BESTrees for Predicting Students' Performance
E Evangelista - … Journal of Emerging Technologies in Learning …, 2023 - zuscholars.zu.ac.ae
Every academic institution's goal is to identify students who require additional assistance
and take appropriate actions to improve their performance. As such, various research …
and take appropriate actions to improve their performance. As such, various research …
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 …
An intelligent prediction system for educational data mining based on ensemble and filtering approaches
The ensemble approach such as boosting is based on heuristic system to develop
prediction paradigms. The ensemble learning techniques are typically more accurate than …
prediction paradigms. The ensemble learning techniques are typically more accurate than …
[PDF][PDF] Ensemble-Learning techniques for predicting student performance on video-based learning
The transformation of education norms from face-to-face teaching era to the Massive Open
Online Courses (MOOCs) era has promoted the rise of the big data era in educational data …
Online Courses (MOOCs) era has promoted the rise of the big data era in educational data …
Predicting academic performance using an efficient model based on fusion of classifiers
In the past few years, educational data mining (EDM) has attracted the attention of
researchers to enhance the quality of education. Predicting student academic performance …
researchers to enhance the quality of education. Predicting student academic performance …
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 …
Predicting academic performance of engineering students using ensemble method
One of the common problems that most of the engineering institutions face in recent times is
poor academic results. The statistics of the IOE semester result show that since 2009 AD, the …
poor academic results. The statistics of the IOE semester result show that since 2009 AD, the …
Two-layer ensemble prediction of students' performance using learning behavior and domain knowledge
SA Priyambada, T Usagawa… - Computers and Education …, 2023 - Elsevier
The ability to predict students' performance is important not only for the students but also for
academic stakeholders in higher education institutes. Predictions can be made by using …
academic stakeholders in higher education institutes. Predictions can be made by using …