You can handle, you can teach it: Systematic review on the use of extended reality and artificial intelligence technologies for online higher education

G Rangel-de Lazaro, JM Duart - Sustainability, 2023 - mdpi.com
Over the past year, defined by the COVID-19 pandemic, we have witnessed a boom in
applying key emerging technologies in education. In such challenging situations, technology …

Exploring the factors that influence academic performance in Jordanian higher education institutions

M Al-Okaily, S Magatef, A Al-Okaily, FS Shiyyab - Heliyon, 2024 - cell.com
Abstract Since the coronavirus 2019 (COVID-19) pandemic hit the world, many universities
have used digital asynchronous learning tools such as Digital Learning Management …

[PDF][PDF] Predicting students' academic performance using e-learning logs

M Abdullah, M Al-Ayyoub… - … Journal of Artificial …, 2023 - pdfs.semanticscholar.org
The outbreak of coronavirus disease 2019 (COVID-19) drives most higher education
systems in many countries to stop face-to-face learning. Accordingly, many universities …

Predicting Student Performance in a Programming Tutoring System Using AI and Filtering Techniques

M Ilic, G Kekovic, V Mikic, K Mangaroska… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In recent years, there has been an increasing trend of utilizing artificial intelligence (AI)
methodologies over traditional statistical methods for predicting student performance in …

Artificial intelligent Global Online Learning (GOL) theory by generalized n-ary fuzzy relation

A Amini, N Firouzkouhi, M Nazari, N Ghareeb… - Artificial Intelligence …, 2024 - Springer
Following the devastating COVID pandemic, a new global strategy is required to switch from
traditional education to blended or online learning method. Nevertheless, there is no …

Increasing Accuracy of Random Forest Algorithm by Decreasing Variance

S Alshare, M Abdullah… - 2022 13th International …, 2022 - ieeexplore.ieee.org
This study aims to add a level of randomization to the process of building a tree within a
random forest. This extra randomization step is achieved by adopting a sectioning technique …

Analysis of student study of virtual learning using machine learning techniques

N Singh, UC Jaiswal - International Journal of Software Science and …, 2022 - igi-global.com
Since COVID-19 was released, online education has taken center stage. Educational
performance analysis is a central topic in virtual classrooms and across the spectrum of …

Business analysis during the pandemic crisis using deep learning models

S Devulapalli, B Venkatesh, R Somula - AI-Driven Intelligent Models …, 2023 - igi-global.com
This chapter aims to investigate pandemic crisis in the various business fields like real
estate, restaurants, gold, and the stock market. The importance of deep learning models is to …

Unveiling the Pandemic's Impact: A Dataset for Probing COVID-19's Effects on E-Learning Activities and Academic Performance

Y Liu, D Luo, K Wang, J Yin - International Conference on Health …, 2023 - Springer
During the COVID-19 pandemic, educational institutions worldwide were affected and forced
to switch to online education. This paper presents an open-source dataset that examines the …

Efficiency of e-Learning in Applied Materials for Visual Communication Students: An Experimental Study

FH Barakat, ZN Maghaireh, HM AlAkash - International Journal of Society …, 2024 - ijscl.com
This study investigated the utilization of visual communication in e-learning within higher
education institutions, commencing with the formal initiation of the e-learning program in …