Principal component clustering approach to teaching quality discriminant analysis
Teaching quality is the lifeline of the higher education. Many universities have made some effective achievement about evaluating the teaching quality. In this paper, we establish the Students’ evaluation of teaching (SET) discriminant analysis model and algorithm based on principal component cluste...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2016-12-01
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| Series: | Cogent Education |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/2331186X.2016.1194553 |
| _version_ | 1797725050184400896 |
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| author | Sidong Xian Haibo Xia Yubo Yin Zhansheng Zhai Yan Shang |
| author_facet | Sidong Xian Haibo Xia Yubo Yin Zhansheng Zhai Yan Shang |
| author_sort | Sidong Xian |
| collection | DOAJ |
| description | Teaching quality is the lifeline of the higher education. Many universities have made some effective achievement about evaluating the teaching quality. In this paper, we establish the Students’ evaluation of teaching (SET) discriminant analysis model and algorithm based on principal component clustering analysis. Additionally, we classify the SET by clustering the result of extracting the indexes through the principal component analysis (PCA), then we also test the rationality of the rating using Fisher’s discriminant function. Finally, the model and algorithm are proved to be effective and objective according to the empirical analysis. |
| first_indexed | 2024-03-12T10:24:36Z |
| format | Article |
| id | doaj.art-6939c991fb2b4dc7b40272fd62d03599 |
| institution | Directory Open Access Journal |
| issn | 2331-186X |
| language | English |
| last_indexed | 2024-03-12T10:24:36Z |
| publishDate | 2016-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Education |
| spelling | doaj.art-6939c991fb2b4dc7b40272fd62d035992023-09-02T09:48:39ZengTaylor & Francis GroupCogent Education2331-186X2016-12-013110.1080/2331186X.2016.11945531194553Principal component clustering approach to teaching quality discriminant analysisSidong Xian0Haibo Xia1Yubo Yin2Zhansheng Zhai3Yan Shang4Chongqing University of Posts and TelecommunicationsChongqing University of Posts and TelecommunicationsChongqing University of Posts and TelecommunicationsChongqing University of Posts and TelecommunicationsChongqing University of Posts and TelecommunicationsTeaching quality is the lifeline of the higher education. Many universities have made some effective achievement about evaluating the teaching quality. In this paper, we establish the Students’ evaluation of teaching (SET) discriminant analysis model and algorithm based on principal component clustering analysis. Additionally, we classify the SET by clustering the result of extracting the indexes through the principal component analysis (PCA), then we also test the rationality of the rating using Fisher’s discriminant function. Finally, the model and algorithm are proved to be effective and objective according to the empirical analysis.http://dx.doi.org/10.1080/2331186X.2016.1194553principal component analysisclustering analysisdiscriminant analysisstudents’ evaluation of teachingindex system |
| spellingShingle | Sidong Xian Haibo Xia Yubo Yin Zhansheng Zhai Yan Shang Principal component clustering approach to teaching quality discriminant analysis Cogent Education principal component analysis clustering analysis discriminant analysis students’ evaluation of teaching index system |
| title | Principal component clustering approach to teaching quality discriminant analysis |
| title_full | Principal component clustering approach to teaching quality discriminant analysis |
| title_fullStr | Principal component clustering approach to teaching quality discriminant analysis |
| title_full_unstemmed | Principal component clustering approach to teaching quality discriminant analysis |
| title_short | Principal component clustering approach to teaching quality discriminant analysis |
| title_sort | principal component clustering approach to teaching quality discriminant analysis |
| topic | principal component analysis clustering analysis discriminant analysis students’ evaluation of teaching index system |
| url | http://dx.doi.org/10.1080/2331186X.2016.1194553 |
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