TY - JOUR
T1 - Determining the attributes that influence students’ online learning satisfaction during COVID-19 pandemic
AU - Agyeiwaah, Elizabeth
AU - Badu Baiden, Frank
AU - Gamor, Emmanuel
AU - Hsu, Fu Chieh
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2022/6
Y1 - 2022/6
N2 - 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.
AB - 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.
KW - Attributes
KW - COVID-19 disruptions
KW - Macau
KW - Online learning
KW - Satisfaction
KW - Tourism and hospitality students
UR - https://www.scopus.com/pages/publications/85120488377
U2 - 10.1016/j.jhlste.2021.100364
DO - 10.1016/j.jhlste.2021.100364
M3 - Article
AN - SCOPUS:85120488377
VL - 30
JO - Journal of Hospitality, Leisure, Sport and Tourism Education
JF - Journal of Hospitality, Leisure, Sport and Tourism Education
M1 - 100364
ER -