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Prediction model for potential school dropout using data mining – a proposed flowchart

In line with the first aspiration in Malaysia Education Blueprint, which is to give access to children for education to let the child realise their full potential, the ministry is focusing on tackling the issue of students drop out in primary and secondary schools. In particular, this study is focus...

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Main Authors: Sariman, Siti Rafidah, Ab. Jalil, Habibah, Marlisah, Erzam
Format: Conference or Workshop Item
Language:English
Published: Faculty of Educational Studies, Universiti Putra Malaysia 2019
Online Access:http://psasir.upm.edu.my/id/eprint/76674/1/GREDUC2019-11.pdf
http://psasir.upm.edu.my/id/eprint/76674/
http://spel3.upm.edu.my/max/dokumen/GREDUC_GREduc2019_E-proceedings.pdf
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id my.upm.eprints.76674
record_format eprints
spelling my.upm.eprints.766742020-02-05T04:27:17Z http://psasir.upm.edu.my/id/eprint/76674/ Prediction model for potential school dropout using data mining – a proposed flowchart Sariman, Siti Rafidah Ab. Jalil, Habibah Marlisah, Erzam In line with the first aspiration in Malaysia Education Blueprint, which is to give access to children for education to let the child realise their full potential, the ministry is focusing on tackling the issue of students drop out in primary and secondary schools. In particular, this study is focusing on building a prediction model to identify a potential school dropout using data mining approach. The pilot sample of this study is taken from a data source from primary and secondary schools located in one of the states. WEKA, an open-source tool for data mining is used to evaluate the attributes predicting potential school dropout. From the analysis, the outcome will be determined using the highest frequency from the classification techniques in the prediction model. The paper aims to present a methodology flow which will be used to identify the main factors of potential school dropouts from many attributes that will be tested using data mining techniques. Faculty of Educational Studies, Universiti Putra Malaysia 2019 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/76674/1/GREDUC2019-11.pdf Sariman, Siti Rafidah and Ab. Jalil, Habibah and Marlisah, Erzam (2019) Prediction model for potential school dropout using data mining – a proposed flowchart. In: Graduate Research in Education Seminar (GREduc 2019), 13 Dec. 2019, Faculty of Educational Studies, Universiti Putra Malaysia. (pp. 125-130). http://spel3.upm.edu.my/max/dokumen/GREDUC_GREduc2019_E-proceedings.pdf
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description In line with the first aspiration in Malaysia Education Blueprint, which is to give access to children for education to let the child realise their full potential, the ministry is focusing on tackling the issue of students drop out in primary and secondary schools. In particular, this study is focusing on building a prediction model to identify a potential school dropout using data mining approach. The pilot sample of this study is taken from a data source from primary and secondary schools located in one of the states. WEKA, an open-source tool for data mining is used to evaluate the attributes predicting potential school dropout. From the analysis, the outcome will be determined using the highest frequency from the classification techniques in the prediction model. The paper aims to present a methodology flow which will be used to identify the main factors of potential school dropouts from many attributes that will be tested using data mining techniques.
format Conference or Workshop Item
author Sariman, Siti Rafidah
Ab. Jalil, Habibah
Marlisah, Erzam
spellingShingle Sariman, Siti Rafidah
Ab. Jalil, Habibah
Marlisah, Erzam
Prediction model for potential school dropout using data mining – a proposed flowchart
author_facet Sariman, Siti Rafidah
Ab. Jalil, Habibah
Marlisah, Erzam
author_sort Sariman, Siti Rafidah
title Prediction model for potential school dropout using data mining – a proposed flowchart
title_short Prediction model for potential school dropout using data mining – a proposed flowchart
title_full Prediction model for potential school dropout using data mining – a proposed flowchart
title_fullStr Prediction model for potential school dropout using data mining – a proposed flowchart
title_full_unstemmed Prediction model for potential school dropout using data mining – a proposed flowchart
title_sort prediction model for potential school dropout using data mining – a proposed flowchart
publisher Faculty of Educational Studies, Universiti Putra Malaysia
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/76674/1/GREDUC2019-11.pdf
http://psasir.upm.edu.my/id/eprint/76674/
http://spel3.upm.edu.my/max/dokumen/GREDUC_GREduc2019_E-proceedings.pdf
_version_ 1662756556531302400
score 13.211869

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