SUFFER: a Cloud System for Teaching Labs in Distance Education

EasyChair Preprint 4479

Abstract

During a pandemic, redesigning the education system to improve access to the available platforms at the universities originally designed for research and local use is necessary. The emergence of cloud computing services has solved many of the performance problems. This paper presents the characteristics of a cloud e-learning tool. In order to do so, the concept of cloud computing is analyzed, and the architecture of the cloud computing platform used in different courses of the Computing Engineering degree are described. This platform was used in a proof of concept in the 2019-2020 academic year. The evaluation results, both from teachers and students that have used it, show positive and promising results.

Keyphrases: Cloud computing application, online teaching, remote labs

@booklet{EasyChair:4479,
  author    = {Francisco Javier Rodríguez Lera and Miguel Ángel Conde and David Fernandez Gonzalez and Francisco J Rodríguez Sedano and Ángel Manuel Guerrero-Higueras and Camino Fernández Llamas},
  title     = {SUFFER: a Cloud System for Teaching Labs in Distance Education},
  howpublished = {EasyChair Preprint 4479},
  year      = {EasyChair, 2020}}