TITLE:
Evaluation of Online Teaching Platforms Based on AHP in the Context of COVID-19
AUTHORS:
Cejun Cao, Juan Li, Yuanfan Zhu, Ying Gong, Min Gao
KEYWORDS:
COVID-19, Evaluation of Online Teaching Platform, Analytic Hierarchy Process
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.8 No.7,
July
31,
2020
ABSTRACT: Different
online teaching platforms are adopted in schools at all levels under the background of COVID-19 in
China. In order to systematically analyze the factors that affect the selection
of online teaching platforms, this paper establishes an online teaching
platform evaluation system. Then, five main factors are identified after
reviewing a series of factors that has significant influences on selection
of online teaching platforms in terms of course entitled “Third-party Logistics Management”. A hierarchical structure model for online teaching platform selection is established based on Analytic Hierarchy
Process. In particular, in terms of each layer, the weights of the indicators
are calculated and checked so as to obtain the total ranking, thus finding the
ultimately best scheme. Results indicated that the order of importance concerning evaluation indicators of online teaching platforms was as follows: internet stability, teaching performance, operational convenience, course resources and
interactive effect. Additionally, WeChat Work was identified as
the best platform for teachers and students.