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 …
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 …
Contributions of machine learning models towards student academic performance prediction: a systematic review
Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …
areas of research. In the field of education, both educational organizations and students are …
Student performance prediction using multi-layers artificial neural networks: A case study on educational data mining
S Altaf, W Soomro, MIM Rawi - Proceedings of the 2019 3rd International …, 2019 - dl.acm.org
In recent years, Neural Network (NN) has seen widespread and successful implementations
in a wide range of data mining applications, often surpassing other classifiers. This study …
in a wide range of data mining applications, often surpassing other classifiers. This study …
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 …
[PDF][PDF] Using machine learning algorithms to predict students' performance and improve learning outcome: A literature based review
The application of machine learning techniques in predicting students' performance, based
on their background and their in-term performance has proved to be a helpful tool for …
on their background and their in-term performance has proved to be a helpful tool for …
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 …
A comparative study on student performance prediction using machine learning
Y Chen, L Zhai - Education and Information Technologies, 2023 - Springer
Accompanied with the development of storage and processing capacity of modern
technology, educational data increases sharply. It is difficult for educational researchers to …
technology, educational data increases sharply. It is difficult for educational researchers to …
[PDF][PDF] Student academic performance prediction using supervised learning techniques.
Automatic Student performance prediction is a crucial job due to the large volume of data in
educational databases. This job is being addressed by educational data mining (EDM) …
educational databases. This job is being addressed by educational data mining (EDM) …
Predicting students' academic performance by mining the educational data through machine learning-based classification model
Students' academic performance prediction is one of the most important applications of
Educational Data Mining (EDM) that helps to improve the quality of the education process …
Educational Data Mining (EDM) that helps to improve the quality of the education process …