Regularized ensemble learning for prediction and risk factors assessment of students at risk in the post-COVID era

Z Khan, A Ali, DM Khan, S Aldahmani - Scientific reports, 2024 - nature.com
The COVID-19 pandemic has had a significant impact on students' academic performance.
The effects of the pandemic have varied among students, but some general trends have …

Machine learning-based predictive modeling of student counseling gratification: a case study of Aligarh Muslim University

AR Shibli, N Fatima, M Sarim, N Masroor… - International Journal of …, 2024 - Springer
Subject counseling may assist students in evaluating their courses and choosing the
appropriate career path. This article intends to investigate, create, and apply efficient …

[HTML][HTML] Explainable Artificial Intelligence-Based Decision Support Systems: A Recent Review

G Kostopoulos, G Davrazos, S Kotsiantis - Electronics, 2024 - mdpi.com
This survey article provides a comprehensive overview of the evolving landscape of
Explainable Artificial Intelligence (XAI) in Decision Support Systems (DSSs). As Artificial …

The analysis of educational informatization management learning model under the internet of things and artificial intelligence

L Han, X Long, K Wang - Scientific Reports, 2024 - nature.com
This study explores the influence of the Internet of Things (IoT) and Artificial Intelligence (AI)-
enhanced learning models on student management in educational informatization …

Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectives

E Ali, M Angelova, C Karmakar - Royal Society Open …, 2024 - royalsocietypublishing.org
Epilepsy is a life-threatening neurological condition. Manual detection of epileptic seizures
(ES) is laborious and burdensome. Machine learning techniques applied to …

A Systematic Review of Big Data Driven Education Evaluation

L Lin, D Zhou, J Wang, Y Wang - SAGE Open, 2024 - journals.sagepub.com
The rapid development of artificial intelligence has driven the transformation of educational
evaluation into big data-driven. This study used a systematic literature review method to …

An advanced explainable and interpretable ML-based framework for educational data mining

IE Livieris, N Karacapilidis, G Domalis… - … in Methodologies and …, 2023 - Springer
During the last two decades, the adoption of machine learning techniques for addressing
various challenging issues in the educational domain has gained much popularity …

Sustainable Development of Employability and Skill Development in Outcome-based Education: A Machine Learning Approach

M Bora, R Baruah - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The contribution of technological enhancement has played a vital role in strengthening the
country's economy. The Higher Education lnstitutions (HEI) are providing placement …

Blending Shapley values for feature ranking in machine learning: an analysis on educational data

P Guleria - Neural Computing and Applications, 2024 - Springer
In educational institutions, it is now more important than ever to deliver high-quality
academic instruction, and educational data mining is essential for resolving problems that …

AI-based adaptive instructional systems for maritime safety training: a systematic literature review

E Karimi, J Smith, R Billard, B Veitch - Discover Artificial Intelligence, 2024 - Springer
Adaptive instructional systems (AISs) refer to educational interventions designed to
accommodate individual learner differences. These systems employ various approaches …