Discussion on the current situation and quality evaluation model of online course teaching in universities based on social network analysis Online publication date: Wed, 10-Jan-2024
by Wuyi Zhou
International Journal of Networking and Virtual Organisations (IJNVO), Vol. 29, No. 3/4, 2023
Abstract: In order to improve the evaluation effect of the teaching quality of modern online courses in universities, we will explore the current situation and quality evaluation mode of online course teaching in universities based on social network analysis. Firstly, analyse social network theory, design a social network analysis process, and then select an online course of 'Advanced Mathematics' from a certain university for research. Use crawler algorithms to obtain interactive data between teachers, students, and students on the platform to achieve community graph visualisation. Finally, by analysing the density, distribution, and centrality of community networks, the correlation between centrality and the current situation and quality of curriculum teaching is explored. Based on this result, a quality evaluation model is explored, which can be optimised by introducing social network analysis methods and establishing a scientific student and teacher evaluation mechanism.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Networking and Virtual Organisations (IJNVO):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com