The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Acceptance and Effectiveness of Rain Classroom in Linguistics Classes
|
|
Author(s): Zhonggen Yu (Faculty of Foreign Studies, Beijing Language and Culture University, Beijing, China)and Han Yi (Faculty of Foreign Studies, Beijing Language and Culture University, Beijing, China)
Copyright: 2020
Volume: 12
Issue: 2
Pages: 14
Source title:
International Journal of Mobile and Blended Learning (IJMBL)
Editor(s)-in-Chief: David Parsons (The Mind Lab by Unitec, New Zealand)and Kathryn Mac Callum (University of Canterbury, Christchurch, New Zealand)
DOI: 10.4018/IJMBL.2020040105
Purchase
|
Abstract
Rain Classroom, a mobile learning technology developed in China, has received great popularity. Research into its acceptance and effectiveness, however, remains sparse. Through research instruments, i.e. a questionnaire adapted from the Technology Acceptance Model (TAM), a semi-structured interview and linguistics knowledge tests, both quantitative and qualitative data were obtained to test research hypotheses. It was concluded that (1) Rain Classroom possesses significantly higher acceptance than traditional multimedia projecting systems in terms of performance expectancy, effort expectancy, social influence, facilitating conditions, and attitude at the significance level .05; and (2) Rain Classroom contributes to significantly higher linguistics knowledge gain than traditional multimedia projecting systems at the significance level .05. Future research could aim to improve and enhance the functions of Rain Classroom in order to pursue higher acceptance and effectiveness. Cross-disciplinary research could also be conducted to test its acceptance and effectiveness.
Related Content
|
W. A. Piyumi Udeshinee, Ola Knutsson, Sirkku Männikkö-Barbutiu.
© 2024.
21 pages.
|
|
Shatha Mohammed Almalki.
© 2024.
19 pages.
|
|
Lin Wang, Muhd Khaizer Omar, Noor Syamilah Zakaria, Nurul Nadwa Zulkifli.
© 2024.
19 pages.
|
|
Daniel Biedermann, Patrick Oliver Schwarz, Jane Yau, Hendrik Drachsler.
© 2023.
12 pages.
|
|
Almed Hamzah, Sergey Sosnovsky.
© 2023.
16 pages.
|
|
Qiwei Men, Belinda Gimbert, Dean Cristol.
© 2023.
17 pages.
|
|
Olga Viberg, Agnes Kukulska-Hulme, Ward Peeters.
© 2023.
15 pages.
|
|
|