Campus traffic and e-Learning during COVID-19 pandemic
By Thomas Favale, Francesca Soro, Martino Trevisan, Idilio Drago, Marco Mellia. Comput. Networks, 2020
510 citations recorded by the source corpus.
The COVID-19 pandemic led to the adoption of severe measures to counteract the spread of the infection. Social distancing and lockdown measures modified people’s habits, while the Internet gained a major role in supporting remote working, e-teaching, online collaboration, gaming, video streaming, etc. All these sudden changes put unprecedented stress on the network. In this paper, we analyze the impact of the lockdown enforcement on the Politecnico di Torino campus network. Right after the school shutdown on the 25th of February, PoliTO deployed its own in-house solution for virtual teaching. Ever since, the university provides about 600 virtual classes daily, serving more than 16 000 students per day. Here, we report a picture of how the pandemic changed PoliTO’s network traffic. We first focus on the usage of remote working and collaboration platforms. Given the peculiarity of PoliTO online teaching solution that is hosted in-house, we drill down on the traffic, characterizing both the audience and the network footprint. Overall, we present a snapshot of the abrupt changes seen on campus traffic due to COVID-19, and testify how the Internet has proved robust to successfully cope with challenges while maintaining the university operations.
Subfields: Clinical Psychology, Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/18f7db1ea08d74613eeea5c2afe9e2e3d6ecc6b7
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In Clinical Psychology
Citations in the corpus
- Online Learning: A Panacea in the Time of COVID-19 Crisis (2020, background): “Users can face many technical difficulties that hinder and slow-down the teaching–learning process (Favale et al., 2020).”
- COURSE SATISFACTION AND STUDENT ENGAGEMENT IN ONLINE LEARNING AMID COVID-19 PANDEMIC: A STRUCTURAL EQUATION MODEL (2021, background): “Users may face several technical challenges that hinder and slow down the process of teaching and learning (Favale et al., 2020).”
- Using an extended Technology Acceptance Model to understand students’ use of e-learning during Covid-19: Indonesian sport science education context (2020, unknown): “During the Covid-19, some recent studies regarding e-learning applications in ctober 2020 he CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). education were also reported (Abbasi et al., 2020; Alamanthari et al.,. 2020; Favale et al., 2020; Radha et al., 2020).”