Valuation and Analysis of Online Teaching Platforms in Post-pandemic Era

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.