A Study of Efficiency Evaluation of National Quality Online Courses during the Epidemic: Based on Fuzzy Logic Calculation and Bootstrap-DEA
| Autor: | Meier Zhuang, Jia-jia Yang, Yi-Wei Xia, Zhen-hui Li, Hai-qing Qin |
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| Rok vydání: | 2021 |
| Předmět: |
Article Subject
Operations research business.industry Computer science General Mathematics media_common.quotation_subject 05 social sciences General Engineering 050301 education Sample (statistics) Engineering (General). Civil engineering (General) Fuzzy logic Ranking 0502 economics and business Value (economics) QA1-939 Quality (business) TA1-2040 Human resources business 0503 education Mathematics 050203 business & management media_common |
| Zdroj: | Mathematical Problems in Engineering, Vol 2021 (2021) |
| ISSN: | 1563-5147 1024-123X |
| DOI: | 10.1155/2021/5534583 |
| Popis: | The study combines fuzzy logic calculation method and bootstrap-DEA to explore the efficiency of National Quality Online Courses (NQOOCs) during the new coronavirus epidemic. We choose Project 985 universities in China as our sample considering their academic influence. The results show that the efficiency value of NQOOCs calculated by bootstrap-DEA differs from the efficiency value measured by traditional DEA. The difference of universities` ranking is more pronounced in bootstrap-DEA. The amount of input resources (including human resources, science and technology resources, and financial resources) may not be directly reflected on the efficiency of NQOOCs. There is still much room for improvement in the efficiency of NQOOCs in most universities. |
| Databáze: | OpenAIRE |
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