Technology Rebuilt Online Learning Under Post-epidemic Era Through the Lens of Community of Inquiry Framework
- DOI
- 10.2991/978-94-6463-172-2_23How to use a DOI?
- Keywords
- online learning; online learners satisfaction; technological support
- Abstract
Online education is becoming a critical ingredient in higher education, especially in the post-epidemic era. Despite its benefits, online learning has been confronted with the dissatisfied voice from learners, and not enough attention has been given to the technological support. This research employed Community of Inquiry survey, Focus Group interview and Forum Observation as well as photos of online learning to explore technological support they expected. Descriptive analysis and thematic analysis were adopted to analyze the data. The findings indicated that online learners expected online learning to be highly interactive, well-managed and entertaining. To sum up, this research focused on technology that contributed to satisfaction in the online context. Additionally, this study provided insight into platform providers so as to achieve the sustainable development of online learning.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Lin Zhang AU - Kamalanathan M. Ramakrishnan PY - 2023 DA - 2023/06/30 TI - Technology Rebuilt Online Learning Under Post-epidemic Era Through the Lens of Community of Inquiry Framework BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 202 EP - 209 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_23 DO - 10.2991/978-94-6463-172-2_23 ID - Zhang2023 ER -