eLearning on social network sites: a disruption of learning management systems from Thai students' perspectives
Poonsri Vate-U-Lan
International Journal of Business and Globalisation, 2021, vol. 27, issue 2, 273-287
Abstract:
The purpose of this paper was to examine the attitudes of Thai higher education students towards eLearning incorporating social network sites using an online self-administered survey and standard statistical analysis. This online survey resulted in 389 valid responses. The attitude towards using eLearning on social network sites was positive. The research found a statistically significant difference in the attitudes of both genders with the Thai males scoring higher than the Thai females though both were positive. There was a statistically significant difference in attitude for participants who had varied experiences using eLearning. Participants who were experienced in both formal and informal eLearning formats showed a more positive attitude towards eLearning on social network sites as opposed to participants who used either formal or informal eLearning formats only. This research findings shed light on a disruption to learning management systems in the era of social networking with implications beyond Thailand.
Keywords: attitude; Facebook; learning management systems; LMSs; eLearning; social network; disruptive technology; gender difference; gender diversity. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=112812 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbglo:v:27:y:2021:i:2:p:273-287
Access Statistics for this article
More articles in International Journal of Business and Globalisation from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().