Applying Fuzzy Fault Tree Method to Evaluate the Reliability of College Classroom Teaching
The evaluation of classroom teaching quality is closely related to the development of higher education as a scientific and effective evaluation system that can provide a solid foundation for formulating educational policies. Therefore, an evaluation model of classroom teaching quality in colleges an...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2021-09-01
|
| Series: | Frontiers in Psychology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2021.593068/full |
| _version_ | 1818366089443147776 |
|---|---|
| author | Liangliang Wang Liangliang Wang Mingfang Fan Feng Zhang |
| author_facet | Liangliang Wang Liangliang Wang Mingfang Fan Feng Zhang |
| author_sort | Liangliang Wang |
| collection | DOAJ |
| description | The evaluation of classroom teaching quality is closely related to the development of higher education as a scientific and effective evaluation system that can provide a solid foundation for formulating educational policies. Therefore, an evaluation model of classroom teaching quality in colleges and universities is established based on the fuzzy fault tree theory with “classroom teaching failure” as the top event to effectively evaluate the reliability of college classroom teaching and optimize the teaching strategies. In consideration of the lack of availability and dynamics of classroom teaching data, fuzzy numbers are used to describe the probability of underlying events. In addition, the top event probability of the fuzzy fault tree is calculated by the double-layer Monte Carlo method (MCM), which analyzes the classroom teaching effect based on the fuzzy fault tree reasonable. In summary, the quantitative evaluation system of classroom teaching quality based on fuzzy fault trees can evaluate classroom teaching more comprehensively and dynamically and help to improve the teaching quality of higher education. |
| first_indexed | 2024-12-13T22:30:37Z |
| format | Article |
| id | doaj.art-3a92972723f6430887d8ccaf0114f35c |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-12-13T22:30:37Z |
| publishDate | 2021-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-3a92972723f6430887d8ccaf0114f35c2022-12-21T23:29:06ZengFrontiers Media S.A.Frontiers in Psychology1664-10782021-09-011210.3389/fpsyg.2021.593068593068Applying Fuzzy Fault Tree Method to Evaluate the Reliability of College Classroom TeachingLiangliang Wang0Liangliang Wang1Mingfang Fan2Feng Zhang3School of Marxism, Northwestern Polytechnical University, Xi'an, ChinaSchool of Marxism, Xi'an Shiyou University, Xi'an, ChinaSchool of Marxism, Northwestern Polytechnical University, Xi'an, ChinaSchool of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi'an, ChinaThe evaluation of classroom teaching quality is closely related to the development of higher education as a scientific and effective evaluation system that can provide a solid foundation for formulating educational policies. Therefore, an evaluation model of classroom teaching quality in colleges and universities is established based on the fuzzy fault tree theory with “classroom teaching failure” as the top event to effectively evaluate the reliability of college classroom teaching and optimize the teaching strategies. In consideration of the lack of availability and dynamics of classroom teaching data, fuzzy numbers are used to describe the probability of underlying events. In addition, the top event probability of the fuzzy fault tree is calculated by the double-layer Monte Carlo method (MCM), which analyzes the classroom teaching effect based on the fuzzy fault tree reasonable. In summary, the quantitative evaluation system of classroom teaching quality based on fuzzy fault trees can evaluate classroom teaching more comprehensively and dynamically and help to improve the teaching quality of higher education.https://www.frontiersin.org/articles/10.3389/fpsyg.2021.593068/fullcollege classroomteaching evaluationfuzzy fault treedouble-layer Monte Carloclassroom teaching failure |
| spellingShingle | Liangliang Wang Liangliang Wang Mingfang Fan Feng Zhang Applying Fuzzy Fault Tree Method to Evaluate the Reliability of College Classroom Teaching Frontiers in Psychology college classroom teaching evaluation fuzzy fault tree double-layer Monte Carlo classroom teaching failure |
| title | Applying Fuzzy Fault Tree Method to Evaluate the Reliability of College Classroom Teaching |
| title_full | Applying Fuzzy Fault Tree Method to Evaluate the Reliability of College Classroom Teaching |
| title_fullStr | Applying Fuzzy Fault Tree Method to Evaluate the Reliability of College Classroom Teaching |
| title_full_unstemmed | Applying Fuzzy Fault Tree Method to Evaluate the Reliability of College Classroom Teaching |
| title_short | Applying Fuzzy Fault Tree Method to Evaluate the Reliability of College Classroom Teaching |
| title_sort | applying fuzzy fault tree method to evaluate the reliability of college classroom teaching |
| topic | college classroom teaching evaluation fuzzy fault tree double-layer Monte Carlo classroom teaching failure |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2021.593068/full |
| work_keys_str_mv | AT liangliangwang applyingfuzzyfaulttreemethodtoevaluatethereliabilityofcollegeclassroomteaching AT liangliangwang applyingfuzzyfaulttreemethodtoevaluatethereliabilityofcollegeclassroomteaching AT mingfangfan applyingfuzzyfaulttreemethodtoevaluatethereliabilityofcollegeclassroomteaching AT fengzhang applyingfuzzyfaulttreemethodtoevaluatethereliabilityofcollegeclassroomteaching |