Paper Info
Title
Quality Evaluation Of Online Courses During Covid-19 Pandemic Based On Integrated Fce-Ahp Method
Abstract
After sudden outbreak of COVID-19 pandemic, the university campuses were closed and millions of university teachers and students had to shift teaching and learning activities from the classrooms to online courses in China. The COVID-19 pandemic undoubtedly brought significant negative effects to university education activities. How does COVID-19 influenced teaching quality and the degree of influences have been studied by many researches. However, the online course quality which is influences by COVID-19 pandemic was commonly evaluated qualitatively rather than quantitatively. In order to obtain quantitative evaluation results of online course quality during the pandemic period, the integrated FCE-AHP evaluation was applied. Based on real case of online courses, the influence factors of online course quality were divided into four first-level indicators and further subdivided into 14 second level indicators. The weight vectors of evaluation indicators were determined based on experts' comments from the Teaching Affairs Committee and the fuzzy evaluation memberships were calculated based on questionnaire results of 2021 students. The evaluation results revealed that the integral performance of online courses is acceptable and the performances of students and hardware are relative weaker. Finally, some improvement measures were conducted to deal with difficulties encountered in online courses during COVID-19 pandemic period.
Year
DOI
Venue
2021
10.3233/JIFS-210362
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
DocType
Volume
Fuzzy comprehensive evaluation, analytic hierarchy process, COVID-19, online courses, quantitative evaluation
Journal
41
Issue
ISSN
Citations 
1
1064-1246
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Bin Tang100.34
Shiwei Guo200.34
Mathias Yeboah300.34
Zhenhua Wang400.34
Song Cheng500.34