Student performance analysis and prediction in classroom learning: A review of educational data mining studies

A Khan, SK Ghosh - Education and information technologies, 2021 - Springer
Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …

Educational data mining to predict students' academic performance: A survey study

S Batool, J Rashid, MW Nisar, J Kim, HY Kwon… - Education and …, 2023 - Springer
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

A Critical Review of Data Mining for Education: What has been done, what has been learnt and what remains to be seen

I Papadogıannıs, V Poulopoulos… - International Journal of …, 2020 - dergipark.org.tr
This article provides a thorough review of educational data mining (EDM) in the period 2015-
2019. Going beyond earlier review works, in this article we examine previous research from …

Predicting student performance and its influential factors using hybrid regression and multi-label classification

A Alshanqiti, A Namoun - Ieee Access, 2020 - ieeexplore.ieee.org
Understanding, modeling, and predicting student performance in higher education poses
significant challenges concerning the design of accurate and robust diagnostic models …

Gender recognition by voice using an improved self-labeled algorithm

IE Livieris, E Pintelas, P Pintelas - Machine Learning and Knowledge …, 2019 - mdpi.com
Speech recognition has various applications including human to machine interaction,
sorting of telephone calls by gender categorization, video categorization with tagging and so …

Automatic assessment of cognitive and emotional states in virtual reality‐based flexibility training for four adolescents with autism

J Moon, F Ke, Z Sokolikj - British Journal of Educational …, 2020 - Wiley Online Library
Tracking students' learning states to provide tailored learner support is a critical element of
an adaptive learning system. This study explores how an automatic assessment is capable …

Predictive analysis of students' learning performance using data mining techniques: A comparative study of feature selection methods

S Syed Mustapha - Applied System Innovation, 2023 - mdpi.com
The utilization of data mining techniques for the prompt prediction of academic success has
gained significant importance in the current era. There is an increasing interest in utilizing …

An ensemble SSL algorithm for efficient chest X-ray image classification

IE Livieris, A Kanavos, V Tampakas, P Pintelas - Journal of Imaging, 2018 - mdpi.com
A critical component in the computer-aided medical diagnosis of digital chest X-rays is the
automatic detection of lung abnormalities, since the effective identification at an initial stage …

Semi-supervised bidirectional long short-term memory and conditional random fields model for named-entity recognition using embeddings from language models …

M Zhang, G Geng, J Chen - Entropy, 2020 - mdpi.com
Increasingly, popular online museums have significantly changed the way people acquire
cultural knowledge. These online museums have been generating abundant amounts of …

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 …