DocumentCode
2297055
Title
Notice of Retraction
Research and Application of the Data Mining Technology on the Quality of Teaching Evaluation
Author
Zhang Yihua
Author_Institution
Dept. of Inf. Manage., Jimei Univ., Xiamen, China
Volume
3
fYear
2010
fDate
6-7 March 2010
Firstpage
368
Lastpage
371
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.
The assessment of the quality of teaching is in accordance with the purpose and principles of teaching. By use of the evaluation of technical feasibility of the teaching process and the expected results, the value of the judgement can be given to provide some information and make some kind of assessment on the subject which need to be assessed. On the teaching quality of teachers, there are many kinds of the evaluation criteria and different index systems. In this paper, Grey Clustering comprehensive assessment of teaching quality in connection with the computer program to assess the quality of teaching for a teacher is used. Compared with the traditional paper-assessment method, the assessment has more scientific, accurate and convincing.
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.
The assessment of the quality of teaching is in accordance with the purpose and principles of teaching. By use of the evaluation of technical feasibility of the teaching process and the expected results, the value of the judgement can be given to provide some information and make some kind of assessment on the subject which need to be assessed. On the teaching quality of teachers, there are many kinds of the evaluation criteria and different index systems. In this paper, Grey Clustering comprehensive assessment of teaching quality in connection with the computer program to assess the quality of teaching for a teacher is used. Compared with the traditional paper-assessment method, the assessment has more scientific, accurate and convincing.
Keywords
data mining; educational administrative data processing; pattern clustering; teaching; data mining technology; grey clustering comprehensive assessment; index systems; teaching quality evaluation; technical feasibility; Application software; Clustering methods; Computer science; Computer science education; Data mining; Educational institutions; Educational technology; Information management; Quality assessment; Testing; Evaluation; Grey Clustering; 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.2010.179
Filename
5459673
Link To Document