TITLE:
An ECM-ISC Based on College Students’ Continued Learning Intention toward E-Learning Space Post COVID-19
AUTHORS:
Wei Wang, Yuexin Duan, Qing Wang, Hehai Liu
KEYWORDS:
ECM-ISC, Post COVID-19, Continued Learning Intention, E-Learning Space, SEM
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.9 No.12,
December
23,
2021
ABSTRACT: The “Suspending Classes without Stopping Learning”, which is an emergency
policy launched by the Chinese government to continue teaching activities as schools across the country, gives a new opportunity
to popularize the application of E-learning space for college students.
In order to explain college students’ continued learning intention toward
E-learning space post COVID-19, this study
combines theories from the fields of ECM-ISC (Expectation Confirmation Model for Information Systems Continuance). By adding two latent variables,
namely students’ initial intention and teacher guidance factor, an improved
ECM-ISC model for college students’ continued learning intention was put forward. Results from Linear regression
analysis and structural equation modeling (SEM) demonstrate a strong
explanatory power of the new model. Based on the results of the empirical
analysis, corresponding suggestions are proposed.