A survey on educational data mining methods used for predicting students' performance
W Xiao, P Ji, J Hu - Engineering Reports, 2022 - Wiley Online Library
Predicting students' performance is one of the most important issues in educational data
mining (EDM), which has received more and more attention. By predicting students' …
mining (EDM), which has received more and more attention. By predicting students' …
Data mining approach to predicting the performance of first year student in a university using the admission requirements
AI Adekitan, E Noma-Osaghae - Education and Information Technologies, 2019 - Springer
The academic performance of a student in a university is determined by a number of factors,
both academic and non-academic. Student that previously excelled at the secondary school …
both academic and non-academic. Student that previously excelled at the secondary school …
Mitigating unfairness via evolutionary multiobjective ensemble learning
In the literature of mitigating unfairness in machine learning (ML), many fairness measures
are designed to evaluate predictions of learning models and also utilized to guide the …
are designed to evaluate predictions of learning models and also utilized to guide the …
Identifying patterns of epistemic emotions with respect to interactions in massive online open courses using deep learning and social network analysis
Convincing evidence found by educators and psychologists shows that learners' interactions
in discussion forums in massive online open courses (MOOC) overwhelmingly affect their …
in discussion forums in massive online open courses (MOOC) overwhelmingly affect their …
Enhanced Harris Hawks optimization as a feature selection for the prediction of student performance
Predicting student performance for educational organizations such as universities,
community colleges, schools, and training centers will enhance the overall results of these …
community colleges, schools, and training centers will enhance the overall results of these …
Prediction model on student performance based on internal assessment using deep learning
Educational Data Mining and Deep learning play a crucial role in identifying academically
weak students of an institute and help them by developing different recommendation …
weak students of an institute and help them by developing different recommendation …
Mining smart learning analytics data using ensemble classifiers
Recent progress in technology has altered the learning behaviors of students; besides
giving a new impulse which reshapes the education itself. It can easily be said that the …
giving a new impulse which reshapes the education itself. It can easily be said that the …
Predicting students' academic performance using machine learning techniques: a literature review
A Nabil, M Seyam… - International Journal of …, 2022 - inderscienceonline.com
The amount of students' data stored in educational databases is increasing rapidly. These
databases contain hidden patterns and useful information about students' behaviour and …
databases contain hidden patterns and useful information about students' behaviour and …
Classification of road traffic accident data using machine learning algorithms
B Kumeda, F Zhang, F Zhou, S Hussain… - 2019 IEEE 11th …, 2019 - ieeexplore.ieee.org
The dramatic increase in road traffic accidents in the world is causing serious problems in
every aspect of human lives. The most important and meaningful nature of traffic …
every aspect of human lives. The most important and meaningful nature of traffic …
[PDF][PDF] Review on predicting students' graduation time using machine learning algorithms
NM Suhaimi, S Abdul-Rahman, S Mutalib… - International journal of …, 2019 - academia.edu
Nowadays, the application of data mining is widely prevalent in the education system. The
ability of data mining to obtain meaningful information from meaningless data makes it very …
ability of data mining to obtain meaningful information from meaningless data makes it very …