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Data Mining in Teacher Evaluation System using WEKA

by Fateh Ahmadi, M. E Shiri Ahmad Abadi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 63 - Number 10
Year of Publication: 2013
Authors: Fateh Ahmadi, M. E Shiri Ahmad Abadi
10.5120/10501-5268

Fateh Ahmadi, M. E Shiri Ahmad Abadi . Data Mining in Teacher Evaluation System using WEKA. International Journal of Computer Applications. 63, 10 ( February 2013), 12-18. DOI=10.5120/10501-5268

@article{ 10.5120/10501-5268,
author = { Fateh Ahmadi, M. E Shiri Ahmad Abadi },
title = { Data Mining in Teacher Evaluation System using WEKA },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 63 },
number = { 10 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 12-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume63/number10/10501-5268/ },
doi = { 10.5120/10501-5268 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:13:57.502450+05:30
%A Fateh Ahmadi
%A M. E Shiri Ahmad Abadi
%T Data Mining in Teacher Evaluation System using WEKA
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 10
%P 12-18
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential used in various commercial applications including retail sales, e-commerce, remote sensing, bioinformatics etc. Education is an essential element for the progress of country. Mining in educational environment is called Educational Data Mining. Educational data mining is concerned with developing new methods to discover knowledge from educational database. In order to analyze opinion of students about their teachers in Teacher Evaluation system, this paper surveys an application of data mining in Teacher Evaluation system & also present result analysis using WEKA tool. The large amount of data is stored in educational database, so in order to get required data & to find the hidden relationship; different data mining techniques are developed & used. There are varieties of popular data mining task within the educational data mining e. g. classification, clustering, outlier detection, association rule, prediction etc. How each of data mining tasks can be applied to education system is explained. In this paper is analyze the performance of final Teacher Evaluation of a semester of a college & is presented the result which it is achieved using WEKA tool. The main goal of this paper is gathering manageable experiences with data mining and also using of these experiences at E learning system and traditional education according to teacher evaluation. In this paper are verified hidden patterns of teacher evaluation by students and is predicted that which teachers will be invited to faculty classes and which teachers will be refusing and education managers due to evaluation reasons will cut the education contract with these teachers in next semesters? And what's effect of some items for examples Evaluation's score, Teacher's degree, Degree's type, Teaching experience, Acceptation to next semesters on teacher's evaluation?

References
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Index Terms

Computer Science
Information Sciences

Keywords

Classification Clustering Association rule Data mining Web mining WEKA

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