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http://hdl.handle.net/20.500.12358/25147
TitleCandidate Teacher Performance Prediction Using Classification Techniques
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Abstract

This paper aims to build data mining model to predict the performance of candidate teachers who apply for employment in education of high schools of Gaza Strip. We apply three classification algorithms on our dataset which are Decision Tree, Naive Bays and KNN. Our dataset contains 8000 teacher records collected from ministry of education in Gaza Strip. Although there are a lot of researchers proposed many approaches in education field to predict student's performance, yet, their efforts didn't extend to predict candidate teacher's performance. So, we present an experimental study to assist stakeholders of education in Gaza Strip in selecting the most suitable candidate teachers for employment. On other hand, our study provides feedback to universities about their educational system and student quality, and helps them to take decisions to enhance the quality of education. According to our results the decision …

Authors
Zoroub, Mohammed KH
Maghari, Ashraf Y. A.
TypeJournal Article
Date2017
Published inPromising Electronic Technologies (ICPET), 2017 International Conference on
PublisherIEEE
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  • Staff Publications- Faculty of Information Technology [192]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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