DocumentCode
2281677
Title
Notice of Retraction
University Teaching Quality Evaluation Using Fuzzy Comprehensive Evaluation Approach
Author
Xiani He ; Ziqiang Zhu ; Yong Zhou ; Guangyin Lu ; Qunyi Liu
Author_Institution
Info-Phys. & geomatics Sch., Central South Univ., Changsha, China
Volume
2
fYear
2010
fDate
6-7 March 2010
Firstpage
616
Lastpage
619
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In view of fuzziness of university teaching quality evaluation, AHP-based multi-level fuzzy comprehensive evaluation model become the advantage model for university teaching quality assessment. It is of great importance to evaluate scientifically teachers´ teaching quality in the classroom. The methods of AHP and Fuzzy comprehensive evaluation are applied to evaluation of classroom teaching quality. By analyzing constituent elements of teaching quality, proposed that the index system should be on the basis of teaching attitude, teaching level, teaching content and teaching effectiveness, index weights should be determined by using of AHP, the model should be established by using of Fuzzy comprehensive evaluation, which turns out that the evaluation results can reflect the management of teaching quality more objectively, so as to provide a new way for evaluation of teaching quality, thus it has theoretical and practical value. A practical mathematical model for the teaching quality evaluation is established under the fuzzy circumstances. A example is included.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In view of fuzziness of university teaching quality evaluation, AHP-based multi-level fuzzy comprehensive evaluation model become the advantage model for university teaching quality assessment. It is of great importance to evaluate scientifically teachers´ teaching quality in the classroom. The methods of AHP and Fuzzy comprehensive evaluation are applied to evaluation of classroom teaching quality. By analyzing constituent elements of teaching quality, proposed that the index system should be on the basis of teaching attitude, teaching level, teaching content and teaching effectiveness, index weights should be determined by using of AHP, the model should be established by using of Fuzzy comprehensive evaluation, which turns out that the evaluation results can reflect the management of teaching quality more objectively, so as to provide a new way for evaluation of teaching quality, thus it has theoretical and practical value. A practical mathematical model for the teaching quality evaluation is established under the fuzzy circumstances. A example is included.
Keywords
educational institutions; fuzzy set theory; teacher training; teaching; AHP-based multilevel fuzzy comprehensive evaluation; classroom teaching quality; index system; teacher teaching; university teaching quality evaluation; Computer science; Computer science education; Educational institutions; Educational technology; Fuzzy systems; Mathematical model; Position measurement; Quality management; Standards development; Technological innovation; fuzzy comprehensive evaluation approach; membership; teaching quality; weight;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6388-6
Type
conf
DOI
10.1109/ETCS.2010.183
Filename
5458815
Link To Document