Cargando…
DeepLMS: a deep learning predictive model for supporting online learning in the Covid-19 era
Coronavirus (Covid-19) pandemic has imposed a complete shut-down of face-to-face teaching to universities and schools, forcing a crash course for online learning plans and technology for students and faculty. In the midst of this unprecedented crisis, video conferencing platforms (e.g., Zoom, WebEx,...
Autores principales: | Dias, Sofia B., Hadjileontiadou, Sofia J., Diniz, José, Hadjileontiadis, Leontios J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7669866/ https://www.ncbi.nlm.nih.gov/pubmed/33199801 http://dx.doi.org/10.1038/s41598-020-76740-9 |
Ejemplares similares
-
A Conceptual Framework (2D-ME) for Explaining Self–first and Self–third Person Views of Prototyping Dynamics in Serious Games Design: Experimental Case Study
por: Hadjileontiadou, Sofia, et al.
Publicado: (2023) -
Towards an intelligent learning management system under blended learning: trends, profiles and modeling perspectives
por: Dias, Sofia B, et al.
Publicado: (2013) -
DeepFoG: An IMU-Based Detection of Freezing of Gait Episodes in Parkinson’s Disease Patients via Deep Learning
por: Bikias, Thomas, et al.
Publicado: (2021) -
Machine Learning-Based Analysis of Digital Movement Assessment and ExerGame Scores for Parkinson's Disease Severity Estimation
por: Mahboobeh, Dunia J., et al.
Publicado: (2022) -
Editorial: Human-Computer Interaction Serious Games as behavioral change moderators
por: Dias, Sofia Balula, et al.
Publicado: (2022)