[PDF][PDF] A comparative study of ensemble methods for students' performance modeling
Student performance prediction is a great area of concern for educational institutions to
prevent their students from failure by providing necessary support and counseling to …
prevent their students from failure by providing necessary support and counseling to …
An efficient approach for multiclass student performance prediction based upon machine learning
A Jain, S Solanki - 2019 international conference on …, 2019 - ieeexplore.ieee.org
The field of educational data mining has enabled the researchers, educators to predict the
student's pass rate, failure rate, dropout rate etc. The main reason for dropouts of the student …
student's pass rate, failure rate, dropout rate etc. The main reason for dropouts of the student …
Predicting student academic performance at higher education using data mining: A systematic review
Recently, educational institutions faced many challenges. One of these challenges is the
huge amount of educational data that can be used to discover new insights that have a …
huge amount of educational data that can be used to discover new insights that have a …
Deep neural network-based prediction and early warning of student grades and recommendations for similar learning approaches
T Tao, C Sun, Z Wu, J Yang, J Wang - Applied Sciences, 2022 - mdpi.com
Studies reported that if teachers can accurately predict students' follow-up learning effects
via data mining and other means, as per their current performances, and explore the …
via data mining and other means, as per their current performances, and explore the …
Analysis and prediction of students' academic performance based on educational data mining
G Feng, M Fan, Y Chen - IEEE Access, 2022 - ieeexplore.ieee.org
The development of intelligent technologies gains popularity in the education field. The
rapid growth of educational data indicates traditional processing methods may have …
rapid growth of educational data indicates traditional processing methods may have …
Clustering-based EMT model for predicting student performance
Predicting students' performance has emerged as an attractive task among researchers.
They use supervised and unsupervised educational data mining (EDM) techniques to build …
They use supervised and unsupervised educational data mining (EDM) techniques to build …
Course recommendation with deep learning approach
TT Dien, L Hoai-Sang, N Thanh-Hai… - Future Data and Security …, 2020 - Springer
Course selection is a crucial task which may affect greatly on student performance. Because
of poor performances, numerous students have been receiving formal warnings and …
of poor performances, numerous students have been receiving formal warnings and …
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 …
[PDF][PDF] A unified model of clustering and classification to improve students' employability prediction
Data Mining is gaining immense popularity in the field of education due to its predictive
capabilities. But, most of the prior effort in this area is only directed towards prediction of …
capabilities. But, most of the prior effort in this area is only directed towards prediction of …
[PDF][PDF] Hybrid machine learning algorithms for predicting academic performance
P Sokkhey, T Okazaki - Int. J. Adv. Comput. Sci. Appl, 2020 - academia.edu
The large volume of data and its complexity in educational institutions require the sakes from
informative technologies. In order to facilitate this task, many researchers have focused on …
informative technologies. In order to facilitate this task, many researchers have focused on …