Usability factors predicting continuance of intention to use cloud e-learning application
Sign Up to like & getrecommendations! Published in 2019 at "Heliyon"
DOI: 10.1016/j.heliyon.2019.e01788
Abstract: In this ever-progressive digital era, conventional e-learning methods have become inadequate to handle the requirements of upgraded learning processes especially in the higher education. E-learning adopting Cloud computing is able to transform e-learning into a… read more here.
Keywords: cloud learning; continuance intention; usability factors;
PointCG: Self-Supervised Point Cloud Learning via Joint Completion and Generation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2025.3526257
Abstract: The core of self-supervised point cloud learning lies in setting up appropriate pretext tasks, to construct a pre-training framework that enables the encoder to perceive 3D objects effectively. In this article, we integrate two prevalent… read more here.
Keywords: self supervised; generation; point; supervised point ... See more keywords
Exploring the Determinants of Service Quality of Cloud E-Learning System for Active System Usage
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11094176
Abstract: E-Learning through a cloud-based learning management system, with its various added advantageous features, is a widely used pedagogy at educational institutions in general and more particularly during and post Covid-19 period Successful adoption and implementation… read more here.
Keywords: service quality; system; quality; cloud learning ... See more keywords