Web-based videoconferencing for teaching online: continuance intention to use in the post-COVID-19 period

Abstract

Web-based videoconferencing has gained a great momentum worldwide, with extremely high adoption rates during the COVID -19 pandemic. The current study aims to investigate the use of web-based videoconferencing for teaching in the post-COVID-19 landscape. The study proposes and evaluates a model to predict continuance intention to use videoconferencing systems, from the perspective of University teachers. The proposed model combines constructs from the Technology Acceptance Model (TAM) and the Expectancy Confirmation Model (ECM). Sixty-six academic staff members filled out a survey questionnaire about their attitudes towards continuing using videoconferencing systems for teaching in the post-Emergency Remote Teaching (ERT) period. Partial Least Squares (PLS) was used to test the measurement and the structural model. The model explains and predicts 73% of the total variance in continuance intention to use. User satisfaction with web-based videoconferencing and perceived usefulness are the top two strong predictors. Implications for school administrators and instructional designers are discussed.

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http://creativecommons.org/licenses/by-nc-nd/4.0/

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https://pureportal.strath.ac.uk/en/publications/web-based-videoconferencing-for-teaching-online-continuance-inten