On the use of soft computing methods in educational data mining and learning analytics research: A review of years 2010–2018
A Charitopoulos, M Rangoussi… - International Journal of …, 2020 - Springer
The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …
methods to answer education-related problems based on the analysis of educational data …
[HTML][HTML] Student course grade prediction using the random forest algorithm: Analysis of predictors' importance
Background Universities need to find strategies for improving student retention rates.
Predicting student academic performance enables institutions to identify underachievers …
Predicting student academic performance enables institutions to identify underachievers …
Educational data mining to predict students' academic performance: A survey study
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …
education and informatics. It has become an imperative research area due to many …
Multiclass prediction model for student grade prediction using machine learning
Today, predictive analytics applications became an urgent desire in higher educational
institutions. Predictive analytics used advanced analytics that encompasses machine …
institutions. Predictive analytics used advanced analytics that encompasses machine …
Student performance prediction and classification using machine learning algorithms
For a productive and a good life, education is a necessity and it improves individuals' life
with value and excellence. Also, education is considered a vital need for motivating self …
with value and excellence. Also, education is considered a vital need for motivating self …
The impact of engineering students' performance in the first three years on their graduation result using educational data mining
AI Adekitan, O Salau - Heliyon, 2019 - cell.com
Research studies on educational data mining are on the increase due to the benefits
obtained from the knowledge acquired from machine learning processes which help to …
obtained from the knowledge acquired from machine learning processes which help to …
[HTML][HTML] Analysis of machine learning strategies for prediction of passing undergraduate admission test
This article primarily focuses on understanding the reasons behind the failure of
undergraduate admission seekers using different machine learning (ML) strategies. An …
undergraduate admission seekers using different machine learning (ML) strategies. An …
Students' performance in interactive environments: an intelligent model
Modern approaches in education technology, which make use of advanced resources such
as electronic books, infographics, and mobile applications, are progressing to improve …
as electronic books, infographics, and mobile applications, are progressing to improve …
Prediction of student academic performance using a hybrid 2D CNN model
Opportunities to apply data mining techniques to analyze educational data and improve
learning are increasing. A multitude of data are being produced by institutional technology, e …
learning are increasing. A multitude of data are being produced by institutional technology, e …
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 …