Student-Led Live Broadcast Tour: An Elevated Learning Journey for Tourism Students
Affiliation
Saint Francis University; University of Chester; Hong Kong Metropolitan UniversityPublication Date
2024-04-20
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Drawing upon the concept of student-led live broadcasting tour (LBT), this study aims to construct and empirically test the Input-Process-Output (IPO) framework that links inputs, processes, and outputs within online tourism educational context. The sample involved students who are currently studying a tourism program in the Greater Bay Area, China. One group of students was invited as the audience with another group of students acting as tour guides to lead a live broadcasting tour. Upon completion of the tour, the audience group was invited to fll in the questionnaire survey. The data were gathered through the questionnaire survey from December 2022 to March 2023. The survey instruments were designed based on existing research and the IPO framework. The quantitative data were analysed by SPSS and SmartPLS. 5 hypotheses were developed based on the IPO framework. The results confrmed that students perceived student-led LBT positively in terms of input dimensions (intrinsic motivation and resources support), process dimension (learning climate) and output dimension (learning outcomes and satisfaction). This study gives implications to educators on how student-led LBT can be designed and implemented under the constraints of travel. The utilisation of technology ofers educators the possibility to enrich the learning experience of tourism students in a more afordable and efective way.Citation
Lai, M. T. H., Yeung, E., Ching, L. K. W., & Li, B. M. (2024). Student-led live broadcast tour: An elevated learning journey for tourism students. SN Computer Science, 5, article-number 461. https://doi.org/10.1007/s42979-024-02729-0Publisher
SpringerJournal
SN Computer ScienceAdditional Links
https://link.springer.com/article/10.1007/s42979-024-02729-0Type
ArticleDescription
The version of record of this article, first published in [SN Computer Science], is available online at Publisher’s website: http://dx.doi.org/10.1007/s42979-024-02729-0EISSN
2661-8907Sponsors
unfundedae974a485f413a2113503eed53cd6c53
10.1007/s42979-024-02729-0
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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/