Picturing One's Self: Camera Use in Zoom Classes during the COVID-19 Pandemic

Na Li, Guillermo Romera Rodriguez, Yuqiao Xu, Parth Bhatt, Huy A. Nguyen, Alex Serpi, Chunhua Tsai, John M. Carroll

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

Starting from the spring of 2020, higher institutions in the US underwent a rapid shift from in-person classes to emergency remote education, in response to the COVID-19 outbreak. Under this circumstance, a variety of video conferencing tools (e.g., Zoom) have been adopted for distance education, which pose a set of new challenges arising from synchronous online classes. Among these, one significant issue was students' unwillingness to open cameras, resulting in a lack of non-verbal cues that instructors could rely on to gauge students' understanding and adjust their teachings. Towards addressing this issue, our qualitative study aims at investigating the rationales behind students' camera avoidance. Through a series of semi-structured interviews on undergraduate students in the U.S, we identified prominent factors - namely the class size, lecture style, level of interactivity and privacy concerns - that influenced students' motivation for opening their cameras. At the same time, we uncovered several difficulties, such as heightened self-awareness, feeling of minority and academic perspective, that discouraged students from opening camera, with more substantial impacts on international students. We conclude with actionable insights into the design of online classes, video-conferencing platforms and camera technology that can promote camera usage, thereby contributing to scalable and inclusive interventions for facilitating the transition into remote education.

Original languageEnglish (US)
Title of host publicationL@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale
PublisherAssociation for Computing Machinery, Inc
Pages151-162
Number of pages12
ISBN (Electronic)9781450391580
DOIs
StatePublished - Jun 1 2022
Event9th Annual ACM Conference on Learning at Scale, L@S 2022 - New York City, United States
Duration: Jun 1 2022Jun 3 2022

Publication series

NameL@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale

Conference

Conference9th Annual ACM Conference on Learning at Scale, L@S 2022
Country/TerritoryUnited States
CityNew York City
Period6/1/226/3/22

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications

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