Abstract—Based on the “Internet + education” concept of the
deep integration of information technology and subject
education, online flipped classes, MOOC classes and other
information-based teaching came into being. This has driven
the rapid development of a series of educational APPs and
online teaching platforms. However, there are no perfect
evaluation systems or evaluation methods to select the online
teaching platforms. In view of this, from the perspective of
students, this paper mainly extracted four primary indexes and
nine secondary indexes by analyzing 1000 students’ survey
questionnaires. Considering the similar functions of many
platforms and each having its own emphasis, and students of
different disciplines preferring the different convenient factors,
we used the fuzzy comprehensive evaluation method to
transform students’ qualitative evaluation into quantitative
evaluation and designed a scientific and reasonable evaluation
system for online platforms. Furthermore, we also filtered out
the appropriate online platforms which are preferred by
learners of different disciplines. That is, the liberal students
prefer the platform of real-time interactive learning and live
broadcast, while science students pay more attention to the
platform with strong resource and strong feedback, and
engineering students are more inclined to the platform with
high convenience for teachers and students to share resources.
To better carry out online-offline teaching activities in the
future, we finally put forward some targeted suggestions
according to the data analysis of each platform, so as to realize
the intercommunication and sharing of high-quality resources.
Index Terms—Online teaching platform, fuzzy comprehensive evaluation, choice preference.
Yan Wang is with College of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou, China.
Lijun Nie is with Academy of management, Guangdong Women's Polytechnic College, Guangzhou, China.
Huawu Jian is with No. 1 Primary School of Guangzhou High-Tech Zone, China.
Cite: Yan Wang*, Lijun Nie, and Huawu Jian, "Valuation and Analysis of Online Teaching Platforms in Post-pandemic Era," International Journal of Information and Education Technology vol. 13, no. 2, pp. 257-265, 2023.Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).