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COVID-19 Pandemic: A Usability Study on Platforms to Support eLearning

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HCI International 2020 – Late Breaking Posters (HCII 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1294))

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Abstract

With the COVID-19 pandemic, the higher education communities throughout almost the entire world have moved from traditional face-to-face teaching to remote learning by using video conferencing software and online learning applications and platforms. With social distancing requirements, it is expected that eLearning will be part of the delivery modalities at least until an effective vaccine is widely available. Even after the pandemic is over, it is expected that remote learning and online education will be part of the β€œnew or next normal.” Such online and remote learning modalities are not simply restricted to academic institutions. Businesses are using online and remote learning to re-train, re-tool, and re-educate their employees. The students, in general, are not enthusiastic about the virtual classroom. Niche.com surveyed 14,000 undergraduate and graduate students in April 2020 and found that more than 2/3 of them thought online classes are not as effective as in-person and teacher-centered classes. This unplanned change in teaching modes caused by COVID-19 and the negative feedback from students creates some serious concerns for educators and universities. How to enhance the eLearning experience for students? How to choose from many eLearning platforms on the market? Which eLearning platform is the most user friendly and the best suited for online classes? Which eLearning platforms enable the best class participation and student involvement? In this research, we apply the eLearning usability heuristics to evaluate the major video conferencing platforms (e.g., Cisco Webex, Microsoft Teams, and Zoom).

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Correspondence to Cui Zou .

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Zou, C., Zhao, W., Siau, K. (2020). COVID-19 Pandemic: A Usability Study on Platforms to Support eLearning. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1294. Springer, Cham. https://doi.org/10.1007/978-3-030-60703-6_43

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  • DOI: https://doi.org/10.1007/978-3-030-60703-6_43

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