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 …
[PDF][PDF] Mining educational data to predict student's academic performance using ensemble methods
Educational data mining has received considerable attention in the last few years. Many
data mining techniques are proposed to extract the hidden knowledge from educational …
data mining techniques are proposed to extract the hidden knowledge from educational …
Detecting at-risk students with early interventions using machine learning techniques
R Al-Shabandar, AJ Hussain, P Liatsis, R Keight - IEEE Access, 2019 - ieeexplore.ieee.org
Massive Open Online Courses (MOOCs) have shown rapid development in recent years,
allowing learners to access high-quality digital material. Because of facilitated learning and …
allowing learners to access high-quality digital material. Because of facilitated learning and …
Predicting student drop-out in higher institution using data mining techniques
The increasing number of students dropping out is a major concern of higher educational
institutions as it gives a great impact not only cost to the students but also a waste of public …
institutions as it gives a great impact not only cost to the students but also a waste of public …
An effective prediction model for online course dropout rate
SK Narayanasamy, A Elçi - International Journal of Distance …, 2020 - igi-global.com
Due to tremendous reception on digital learning platforms, many online users tend to
register for online courses in MOOC offered by many prestigious universities all over the …
register for online courses in MOOC offered by many prestigious universities all over the …
The variability of the reasons for student dropout in distance learning and the prediction of dropout-prone students
The adult education that is provided by Universities that use distance learning methods is
without doubt inseparable from high dropout rates, frequently higher than those in …
without doubt inseparable from high dropout rates, frequently higher than those in …
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 …
Performance evaluation of machine learning techniques for prediction of graduating students in tertiary institution
AM Olalekan, OS Egwuche… - … and Computer Science …, 2020 - ieeexplore.ieee.org
Near accurate prediction of students' future performance based on their historical academic
records is important for effective pedagogical interventions. It is imperative to provide an …
records is important for effective pedagogical interventions. It is imperative to provide an …
Towards predicting student's dropout in university courses using different machine learning techniques
J Kabathova, M Drlik - Applied Sciences, 2021 - mdpi.com
Featured Application The found model with the best values of the performance metrics,
found as the result of comparing several machine learning classifiers, can identify students …
found as the result of comparing several machine learning classifiers, can identify students …
Predicting academic performance of students from VLE big data using deep learning models
The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …
learning platforms, provides opportunities to mine learning behavior of students, addressing …