Recent trends in computational intelligence for educational big data analysis

AC Ikegwu, HF Nweke, CV Anikwe - Iran Journal of Computer Science, 2024 - Springer
Educational big data analytics and computational intelligence have transformed our
understanding of learning ability and computing power, catalyzing the emergence of …

[PDF][PDF] Massive open online courses (MOOCS): Systematic literature review in Malaysian higher education

W Al-Rahmi, A Aldraiweesh, N Yahaya… - International Journal of …, 2018 - eprints.utm.my
This study provided a systematic and organized review of 32 studies regarding using of
Massive Open Online Courses (MOOCs) in Malaysian higher education from 2012 to 2017 …

Assessed by machines: Development of a TAM-based tool to measure AI-based assessment acceptance among students

JC Sánchez-Prieto, J Cruz-Benito… - International Journal of …, 2020 - gredos.usal.es
[EN] In recent years, the use of more and more technology in education has been a trend.
The shift of traditional learning procedures into more online and tech-ish approaches has …

Predicting students at risk of academic failure using ensemble model during pandemic in a distance learning system

H Karalar, C Kapucu, H Gürüler - International Journal of Educational …, 2021 - Springer
Predicting students at risk of academic failure is valuable for higher education institutions to
improve student performance. During the pandemic, with the transition to compulsory …

Analysis of student performance using Machine learning Algorithms

S Kour, R Kumar, M Gupta - 2021 Third International …, 2021 - ieeexplore.ieee.org
Education is a prerequisite for a prosperous and good life, and it also helps in enhancing
people's lives with meaning and excellence. Furthermore, education is viewed as a …

Analysis of the scientific literature on massive open online courses (MOOCs)

A Zancanaro, MJC de Souza Domingues - … . Revista Iberoamericana de …, 2017 - redalyc.org
Massive Open Online Courses (MOOCs) have been gaining attention from Academy by the
disruptive innovation with which technology is brought into the educational system. Due to …

Application of hierarchical clustering algorithm to evaluate students performance of an institute

S Rana, R Garg - 2016 Second international conference on …, 2016 - ieeexplore.ieee.org
Machine Learning is the field of computer science that learns from data by studying
algorithms and their constructions. In machine learning, predictions can be made by using …

The use of machine learning “black boxes” explanation systems to improve the quality of school education

R Muhamedyev, K Yakunin, YA Kuchin… - Cogent …, 2020 - Taylor & Francis
The paper describes development of a multi-criteria decision support system (MCDSS) to
improve the quality of school education. It is proposed to apply interpretable machine …

AI-driven assessment of students: Current uses and research trends

JC Sánchez-Prieto, A Gamazo, J Cruz-Benito… - … Conference on Human …, 2020 - Springer
During the last decade, the use of AIs is being incorporated into the educational field
whether to support the analysis of human behavior in teaching-learning contexts, as didactic …

Slow learner prediction using multi-variate naïve Bayes classification algorithm

S Rana, R Garg - International Journal of Engineering and …, 2017 - search.proquest.com
Abstract Machine Learning is a field of computer science that learns from data by studying
algorithms and their constructions. In machine learning, for specific inputs, algorithms help to …