[HTML][HTML] A new normalized index for ranking papers in systematic literature reviews
V Steffen, MS de Oliveira, CZ Brusamarello… - Decision Analytics …, 2024 - Elsevier
The number of journals, and consequently the number of papers, has grown significantly,
which makes it necessary to use suitable tools in systematic literature reviews. Several …
which makes it necessary to use suitable tools in systematic literature reviews. Several …
[HTML][HTML] Mine-first association rule mining: An integration of independent frequent patterns in distributed environments
B Mudumba, MF Kabir - Decision Analytics Journal, 2024 - Elsevier
Association rule mining is a widely used data mining technique in various domains. It
enables the identification of trends, frequent patterns, and relationships among the data …
enables the identification of trends, frequent patterns, and relationships among the data …
A review of machine learning methods used for educational data
Integrating machine learning (ML) methods in educational research has the potential to
greatly impact upon research, teaching, learning and assessment by enabling personalised …
greatly impact upon research, teaching, learning and assessment by enabling personalised …
Effectiveness of data augmentation to predict students at risk using deep learning algorithms
K Fahd, SJ Miah - Social Network Analysis and Mining, 2023 - Springer
The academic intervention to predict at-risk higher education (HE) students requires
effective data model development. Such data modelling projects in the HE context may have …
effective data model development. Such data modelling projects in the HE context may have …
Improving academic performance predictions with dual graph neural networks
Q Huang, Y Zeng - Complex & Intelligent Systems, 2024 - Springer
Academic performance is a crucial issue in the field of Online learning analytics. While deep
learning-based models have made significant progress in the era of big data, many of these …
learning-based models have made significant progress in the era of big data, many of these …
Prediction of Student's Academic Performance through Data Mining Approach
The universities and institutes produce a large amount of student data that can be used in a
disciplinary way and useful information can be extracted by using an automated approach …
disciplinary way and useful information can be extracted by using an automated approach …
[PDF][PDF] Exploring the Impact of Students Demographic Attributes on Performance Prediction through Binary Classification in the KDP Model.
Learner assessment is central to determining students' progress in every educational
establishment. Evaluating students' performance, however, has become a daunting task as …
establishment. Evaluating students' performance, however, has become a daunting task as …
Explainable Artificial Intelligence for Academic Performance Prediction. An Experimental Study on the Impact of Accuracy and Simplicity of Decision Trees on …
The rising adoption of learning analytics and academic performance prediction technologies
in higher education highlights the urgent need for transparency and explainability. This …
in higher education highlights the urgent need for transparency and explainability. This …
Visual Data and Pattern Analysis for Smart Education: A Robust DRL-Based Early Warning System for Student Performance Prediction
W Bagunaid, N Chilamkurti, AS Shahraki… - Future Internet, 2024 - mdpi.com
Artificial Intelligence (AI) and Deep Reinforcement Learning (DRL) have revolutionised e-
learning by creating personalised, adaptive, and secure environments. However, challenges …
learning by creating personalised, adaptive, and secure environments. However, challenges …
Efficient Generalized Electroencephalography-Based Drowsiness Detection Approach with Minimal Electrodes
A Zayed, N Belhadj, K Ben Khalifa, MH Bedoui… - Sensors, 2024 - mdpi.com
Drowsiness is a main factor for various costly defects, even fatal accidents in areas such as
construction, transportation, industry and medicine, due to the lack of monitoring vigilance in …
construction, transportation, industry and medicine, due to the lack of monitoring vigilance in …