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Exploring student performance patterns using tree-based techniques

Due to its direct impact on the development and progress of nations, predicting student performance has acquired considerable importance in modern society. The evaluation of student performance measures the effectiveness of educational institutions and their capacity to influence the next generation...

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Main Authors:	Kurniadi, Felix Indra, Dewi, Meta Amalya, Murad, Dina Fitria, Rabiha, Sucianna Ghadati, Awanis, Romli
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/41892/1/Exploring%20student%20performance%20patterns%20using%20tree-based%20techniques.pdf http://umpir.ump.edu.my/id/eprint/41892/2/Exploring%20student%20performance%20patterns%20using%20tree-based%20techniques_ABS.pdf http://umpir.ump.edu.my/id/eprint/41892/ https://doi.org/10.1109/ICON-SONICS59898.2023.10435096
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id	my.ump.umpir.41892
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spelling	my.ump.umpir.418922024-08-30T00:14:05Z http://umpir.ump.edu.my/id/eprint/41892/ Exploring student performance patterns using tree-based techniques Kurniadi, Felix Indra Dewi, Meta Amalya Murad, Dina Fitria Rabiha, Sucianna Ghadati Awanis, Romli QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Due to its direct impact on the development and progress of nations, predicting student performance has acquired considerable importance in modern society. The evaluation of student performance measures the effectiveness of educational institutions and their capacity to influence the next generation. As a result, enhancing the educational process has become a necessity, compelling governments and institutions to devote significant resources to its ongoing development. Based on the Student Grade Data obtained from the Binus Online Learning platform at Bina Nusantara University, this study analyzes and predicts student performance using tree-based methods, specifically Decision Tree and Random Forest. The dataset includes pupil information and variables pertaining to performance. By contrasting the performance of these tree-based models, it is possible to gain insight into their accuracy and efficacy in predicting student outcomes. The experimental results demonstrate that both the Decision Tree and Random Forest models predict student performance with high accuracy. These results demonstrate the potential of tree-based methods in educational data analysis and prediction, providing educators, administrators, and policymakers with valuable insights for identifying at-risk students and implementing timely interventions to enhance educational outcomes. Institute of Electrical and Electronics Engineers Inc. 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41892/1/Exploring%20student%20performance%20patterns%20using%20tree-based%20techniques.pdf pdf en http://umpir.ump.edu.my/id/eprint/41892/2/Exploring%20student%20performance%20patterns%20using%20tree-based%20techniques_ABS.pdf Kurniadi, Felix Indra and Dewi, Meta Amalya and Murad, Dina Fitria and Rabiha, Sucianna Ghadati and Awanis, Romli (2023) Exploring student performance patterns using tree-based techniques. In: Proceedings of the 3rd 2023 International Conference on Smart Cities, Automation and Intelligent Computing Systems, ICON-SONICS 2023. 3rd International Conference on Smart Cities, Automation and Intelligent Computing Systems, ICON-SONICS 2023 , 6 - 8 December 2023 , Bali. pp. 49-53. (197492). ISBN 978-150906280-5 (Published) https://doi.org/10.1109/ICON-SONICS59898.2023.10435096
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
building	UMPSA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang Al-Sultan Abdullah
content_source	UMPSA Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English English
topic	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General)
spellingShingle	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Kurniadi, Felix Indra Dewi, Meta Amalya Murad, Dina Fitria Rabiha, Sucianna Ghadati Awanis, Romli Exploring student performance patterns using tree-based techniques
description	Due to its direct impact on the development and progress of nations, predicting student performance has acquired considerable importance in modern society. The evaluation of student performance measures the effectiveness of educational institutions and their capacity to influence the next generation. As a result, enhancing the educational process has become a necessity, compelling governments and institutions to devote significant resources to its ongoing development. Based on the Student Grade Data obtained from the Binus Online Learning platform at Bina Nusantara University, this study analyzes and predicts student performance using tree-based methods, specifically Decision Tree and Random Forest. The dataset includes pupil information and variables pertaining to performance. By contrasting the performance of these tree-based models, it is possible to gain insight into their accuracy and efficacy in predicting student outcomes. The experimental results demonstrate that both the Decision Tree and Random Forest models predict student performance with high accuracy. These results demonstrate the potential of tree-based methods in educational data analysis and prediction, providing educators, administrators, and policymakers with valuable insights for identifying at-risk students and implementing timely interventions to enhance educational outcomes.
format	Conference or Workshop Item
author	Kurniadi, Felix Indra Dewi, Meta Amalya Murad, Dina Fitria Rabiha, Sucianna Ghadati Awanis, Romli
author_facet	Kurniadi, Felix Indra Dewi, Meta Amalya Murad, Dina Fitria Rabiha, Sucianna Ghadati Awanis, Romli
author_sort	Kurniadi, Felix Indra
title	Exploring student performance patterns using tree-based techniques
title_short	Exploring student performance patterns using tree-based techniques
title_full	Exploring student performance patterns using tree-based techniques
title_fullStr	Exploring student performance patterns using tree-based techniques
title_full_unstemmed	Exploring student performance patterns using tree-based techniques
title_sort	exploring student performance patterns using tree-based techniques
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2023
url	http://umpir.ump.edu.my/id/eprint/41892/1/Exploring%20student%20performance%20patterns%20using%20tree-based%20techniques.pdf http://umpir.ump.edu.my/id/eprint/41892/2/Exploring%20student%20performance%20patterns%20using%20tree-based%20techniques_ABS.pdf http://umpir.ump.edu.my/id/eprint/41892/ https://doi.org/10.1109/ICON-SONICS59898.2023.10435096
_version_	1822924593619271680
score	13.232681

Exploring student performance patterns using tree-based techniques

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