Acquiring, analyzing and interpreting knowledge data for sustainable engineering education: an experimental study using YouTube

Z Kanetaki, C Stergiou, G Bekas, S Jacques… - Electronics, 2022 - mdpi.com
With the immersion of a plethora of technological tools in the early post-COVID-19 era in
university education, instructors around the world have been at the forefront of implementing …

Post-COVID-19 education for a sustainable future: Challenges, emerging technologies and trends

S Jacques, A Ouahabi, Z Kanetaki - Sustainability, 2023 - mdpi.com
The COVID-19 pandemic, which has been destabilizing the world since the end of 2019, has
significant repercussions on not only health but also the economy, finances, society, politics …

[HTML][HTML] Education in transition: Adapting and thriving in a post-COVID world

OS Alkhnbashi, R Mohammad, DM Bamasoud - Systems, 2024 - mdpi.com
The COVID-19 pandemic profoundly disrupted traditional education systems worldwide,
prompting a rapid shift to online platforms and the emergence of innovative teaching …

Analysis of factors affecting the effectiveness of face-to-face marketing learning via TikTok, YouTube and video conferencing

E Gil-Cordero, C Rodriguez-Rad, P Ledesma-Chaves… - Heliyon, 2023 - cell.com
After the COVID-19 pandemic, the use of virtual platforms, social networks and online
applications has been totally modified by returning to face-to-face systems. The mandatory …

Multilevel IRT models for the analysis of satisfaction for distance learning during the Covid-19 pandemic

S Bacci, R Fabbricatore, M Iannario - Socio-Economic Planning Sciences, 2023 - Elsevier
The Covid-19 pandemic played a relevant role in the diffusion of distance learning
alternatives to “traditional” learning based on classroom activities, to allow university …

An automatic prediction of students' performance to support the university education system: a deep learning approach

Y Alshamaila, H Alsawalqah, I Aljarah, M Habib… - Multimedia Tools and …, 2024 - Springer
Predicting student performance is a critical aspect of educational systems. Although
forecasting a student's future performance is essential in many applications, it is a …

Factors influencing parents' intention on primary school students' choices of online learning during and after the COVID-19 pandemic in China

C Han, L Liu, S Chen - Sustainability, 2022 - mdpi.com
Since the COVID-19 outbreak, online learning has become the norm. Primary school
students require parental assistance and supervision due to their lack of digital media …

Use of Latent Dirichlet Allocation and Structural Equation Modeling in Determining the Factors for Continuance Intention of Knowledge Payment Platform

H Xu, M Zhang, J Zeng, H Hao, HCK Lin, M **ao - Sustainability, 2022 - mdpi.com
Knowledge payment is a new type of E-learning that has developed in the era of social
media. With the influence of the COVID-19 epidemic, the knowledge payment market is …

Artificial intelligence empowers gamification: Optimizing student engagement and learning outcomes in e-learning and moocs.

YA Bachiri, H Mouncif… - International Journal of …, 2023 - search.ebscohost.com
In this era of Artificial Intelligence (AI) growth, characterized by advances in the Large
Language Models (LLMs) used by ChatGPT and Bard, this study examines the effects of …

Using Machine Learning-based Algorithms to Predict Academic Performance-A Systematic Literature Review

M Wu, G Subramaniam, D Zhu, C Li… - … in Technology and …, 2024 - ieeexplore.ieee.org
The exploration of machine learning applications for predicting students' academic
performance has become a pivotal research domain. This systematic literature review …