An ensemble-based semi-supervised approach for predicting students' performance

IE Livieris, K Drakopoulou, TA Mikropoulos… - Research on e-Learning …, 2018 - Springer
Educational data mining has gained popularity due to its ability to provide useful knowledge
hidden in data of students' records for better educational decision-making support. During …

Forecasting students' performance using an ensemble SSL algorithm

IE Livieris, V Tampakas, N Kiriakidou… - … and Innovation in …, 2019 - Springer
Educational data mining is a growing academic research area which aims to gain significant
insights on student behavior, interactions and performance by applying data mining …

Predicting secondary school students' performance utilizing a semi-supervised learning approach

IE Livieris, K Drakopoulou… - Journal of …, 2019 - journals.sagepub.com
Educational data mining constitutes a recent research field which gained popularity over the
last decade because of its ability to monitor students' academic performance and predict …

A semi-supervised regression algorithm for grade prediction of students in distance learning courses

G Kostopoulos, S Kotsiantis, N Fazakis… - … Journal on Artificial …, 2019 - World Scientific
Applying data mining methods in the educational field has gained a lot of attention among
researchers in recent years. Educational Data Mining has turned into an effective tool for …

CatBoost—An ensemble machine learning model for prediction and classification of student academic performance

A Joshi, P Saggar, R Jain, M Sharma… - Advances in Data …, 2021 - World Scientific
In every educational institution, predicting pupils' performance is a vital responsibility. Due to
this, a variety of data mining techniques, such as clustering, classification, and regression …

[Retracted] Enhancement of Predicting Students Performance Model Using Ensemble Approaches and Educational Data Mining Techniques

M Ragab, AMK Abdel Aal, AO Jifri… - … and Mobile Computing, 2021 - Wiley Online Library
Student performance prediction is extremely important in today's educational system.
Predicting student achievement in advance can assist students and teachers in keeping …

[HTML][HTML] Predicting academic performance using an efficient model based on fusion of classifiers

A Siddique, A Jan, F Majeed, AI Qahmash, NN Quadri… - Applied Sciences, 2021 - mdpi.com
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 …

Exploiting semi-supervised learning in the education field: A critical survey

G Kostopoulos, S Kotsiantis - … in Machine Learning/Deep Learning-based …, 2022 - Springer
Abstract Educational Data Mining and Learning Analytics are two interrelated and fast-
growing research fields with a view to extracting meaningful information from educational …

Predicting student performance in distance higher education using semi-supervised techniques

G Kostopoulos, S Kotsiantis, P Pintelas - Model and Data Engineering: 5th …, 2015 - Springer
Students' performance prediction in distance higher education has been widely researched
over the past decades. Machine learning techniques and especially supervised learning …

A semi-supervised self-trained two-level algorithm for forecasting students' graduation time

IE Livieris, V Tampakas… - Intelligent Decision …, 2019 - content.iospress.com
During the last decades, educational data mining has become a significant tool for the
prediction of students' progress and performance. In this work, we present a new semi …