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- W4205125411 endingPage "121468" @default.
- W4205125411 startingPage "121468" @default.
- W4205125411 abstract "The unequal distribution of educational opportunities between urban and rural areas is still a significant challenge in China. As a result, students from urban areas can benefit from highly qualified teachers and enjoy state-of-the-art facilities in contrast with their rural counterparts. Consequently, students from urban areas are more likely to join higher education institutes in comparison with their rural counterparts. In such a scenario, a cloud-based virtual learning environment (C-VLE) is of great importance to provide quality education in rural areas. This study aims to predict C-VLE usage's impact on academic performance and gender differences in rural China. The respondents belonged to rural areas and experienced varying levels of such difficulties. This study extended the task-technology fit theory with the channel expansion theory. The study revealed that task-technology fit, individual-technology fit, perceived media richness, omnipresence, and interactivity positively influence C-VLE usage that leads elevating academic performance. As a result, the students from rural areas have a better competitive position than their urban counterparts. Surprisingly, gender did not play any moderating role. The study provides significant theoretical and practical implications for scholars, educational authorities, and policymakers." @default.
- W4205125411 created "2022-01-25" @default.
- W4205125411 creator A5007211122 @default.
- W4205125411 creator A5027290196 @default.
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- W4205125411 creator A5037379334 @default.
- W4205125411 creator A5043281628 @default.
- W4205125411 creator A5074728918 @default.
- W4205125411 date "2022-03-01" @default.
- W4205125411 modified "2023-10-16" @default.
- W4205125411 title "Using cloud-based virtual learning environments to mitigate increasing disparity in urban-rural academic competence" @default.
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- W4205125411 doi "https://doi.org/10.1016/j.techfore.2021.121468" @default.
- W4205125411 hasPublicationYear "2022" @default.