Determining the attributes that influence students' online learning satisfaction during COVID-19 pandemic. 2022

Elizabeth Agyeiwaah, and Frank Badu Baiden, and Emmanuel Gamor, and Fu-Chieh Hsu
Faculty of Hospitality and Tourism Management, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China.

The inevitable disruptions caused by COVID-19 in the hospitality and tourism education sector have made online learning a necessity rather than an option. This study employs the user experience questionnaire (UEQ) to examine students' online learning experiences specifically in the context of COVID-19. Data collection involved a Qualtrics online survey with a convenience sample of 216 tourism and hospitality students in Macau. Overall, results point to a generally positive appraisal of online attributes, but satisfaction is marginal. Initial principal component factor analysis generated three orthogonal factors of online learning attributes: "Perspicuity and dependability"; "Stimulation and attractiveness"; and "Usability and innovation". Further regression analysis reveals that "Stimulation and attractiveness" is the strongest predictor of the students' satisfaction regarding online learning during the COVID-19 disruptions. This novel finding points to the need for hospitality and tourism education institutions to develop an attractive and motivating visual environment for online course delivery since a stimulating online learning atmosphere is crucial in the context of the pedagogical disruptions caused by COVID-19. Nonetheless, these findings are specific to Chinese students and reflect their learning satisfaction which may differ in other contexts.

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