STUDENT’S PERFORMANCE PREDICTION USING EDUCATIONAL DATA MINING

Every educational institution generates a large amount of data related to the registered students. If that data is not analyzed and used for useful purposes, then all efforts will be wasted as there is no future use of the data occurring. Academic institutions such as universities, colleges an...

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Main Author: QUAH, MIN QI
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.21718 /
Published: IRC 2020
Subjects:
Q Science (General)
Online Access: http://utpedia.utp.edu.my/21718/1/24623_Quah%20Min%20Qi.pdf
http://utpedia.utp.edu.my/21718/
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spelling utp-utpedia.217182021-09-23T23:43:47Z http://utpedia.utp.edu.my/21718/ STUDENT’S PERFORMANCE PREDICTION USING EDUCATIONAL DATA MINING QUAH, MIN QI Q Science (General) Every educational institution generates a large amount of data related to the registered students. If that data is not analyzed and used for useful purposes, then all efforts will be wasted as there is no future use of the data occurring. Academic institutions such as universities, colleges and schools usually do not have tools or process flow that uses the big data from the systems (e.g. enrollment and performance systems) to perform prediction on student’s performance. By using the big data, academic institutions shall be able to predict student’s performance for strategic decision making (e.g. improve current teaching model, identify low performing students etc.). The most used technique for prediction is educational data mining. This study is conducted with the aim to better understand educational data mining. The main objective of this study is to appropriate educational data mining techniques and select suitable technique(s) to implement analyses and prediction on the big data obtained. The method that used to conduct this study is design science. The outcome of this study is acquiring which classification method has the highest accuracy in predicting student’s performance and visualizing the prediction results in a Power BI Dashboard. The findings of this study may contribute towards the improvement of educational institution’s teaching models and student performance. IRC 2020-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21718/1/24623_Quah%20Min%20Qi.pdf QUAH, MIN QI (2020) STUDENT’S PERFORMANCE PREDICTION USING EDUCATIONAL DATA MINING. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic Q Science (General)
spellingShingle Q Science (General)
QUAH, MIN QI
STUDENT’S PERFORMANCE PREDICTION USING EDUCATIONAL DATA MINING
description Every educational institution generates a large amount of data related to the registered students. If that data is not analyzed and used for useful purposes, then all efforts will be wasted as there is no future use of the data occurring. Academic institutions such as universities, colleges and schools usually do not have tools or process flow that uses the big data from the systems (e.g. enrollment and performance systems) to perform prediction on student’s performance. By using the big data, academic institutions shall be able to predict student’s performance for strategic decision making (e.g. improve current teaching model, identify low performing students etc.). The most used technique for prediction is educational data mining. This study is conducted with the aim to better understand educational data mining. The main objective of this study is to appropriate educational data mining techniques and select suitable technique(s) to implement analyses and prediction on the big data obtained. The method that used to conduct this study is design science. The outcome of this study is acquiring which classification method has the highest accuracy in predicting student’s performance and visualizing the prediction results in a Power BI Dashboard. The findings of this study may contribute towards the improvement of educational institution’s teaching models and student performance.
format Final Year Project
author QUAH, MIN QI
author_sort QUAH, MIN QI
title STUDENT’S PERFORMANCE PREDICTION USING EDUCATIONAL DATA MINING
title_short STUDENT’S PERFORMANCE PREDICTION USING EDUCATIONAL DATA MINING
title_full STUDENT’S PERFORMANCE PREDICTION USING EDUCATIONAL DATA MINING
title_fullStr STUDENT’S PERFORMANCE PREDICTION USING EDUCATIONAL DATA MINING
title_full_unstemmed STUDENT’S PERFORMANCE PREDICTION USING EDUCATIONAL DATA MINING
title_sort student’s performance prediction using educational data mining
publisher IRC
publishDate 2020
url http://utpedia.utp.edu.my/21718/1/24623_Quah%20Min%20Qi.pdf
http://utpedia.utp.edu.my/21718/
_version_ 1741195776747372544
score 11.62408

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