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research-article

Data Mining Techniques to Analyze the Impact of Social Media on Academic Performance of High School Students

Authors:

Muhammad Younas,

Muhammad Anwar,

Qaisar Shaheen,

Muhammad Shiraz,

Abdullah Gani Academic Editor:

B. B. GuptaAuthors Info & Claims

Wireless Communications and Mobile Computing, Volume 2022

https://doi.org/10.1155/2022/9299115

Published: 01 January 2022 Publication History

Abstract

The main purpose of educational institutions is to provide quality education to their students. However, it is difficult to analyze large data manually. Educational data mining is more effective as compared to statistical methods used to explore data in educational settings to analyze students’ performance. The objective of the study is to use different data mining techniques and find their performance and impact of different features on students’ academic performance. The dataset was collected from the Kaggle repository. To analyze the dataset, different classification algorithms were applied like decision tree, random forest, SVM classifier, SGD classifier, AdaBoost classifier, and LR classifier. This research revealed that random forest achieved a higher score (98%). The score of decision tree, AdaBoost, logistic regression, SVM, and SGD is 90%, 89%, 88%, 86%, and 84%, respectively. Results show that technology greatly influences student performance. The students who use social media throughout the week showed low performance as compared to the students who use it only at weekends. Furthermore, the impact of other features on the performance of students is also measured.

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Cited By

Cheema ATariq MHafiz AKhan MAhmad FAnwar M(2022)Prevention Techniques against Distributed Denial of Service Attacks in Heterogeneous NetworksSecurity and Communication Networks10.1155/2022/83795322022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/8379532
Tanvir MShahzad MAnwar MNam S(2022)TranslyticsScientific Programming10.1155/2022/43019442022Online publication date: 10-Aug-2022
https://dl.acm.org/doi/10.1155/2022/4301944

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Published In

cover image Wireless Communications & Mobile Computing

Wireless Communications & Mobile Computing Volume 2022, Issue

2022

25330 pages

ISSN:1530-8669

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Copyright © 2022 Saman Amjad et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Publisher

John Wiley and Sons Ltd.

United Kingdom

Publication History

Published: 01 January 2022

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Cited By

Cheema ATariq MHafiz AKhan MAhmad FAnwar M(2022)Prevention Techniques against Distributed Denial of Service Attacks in Heterogeneous NetworksSecurity and Communication Networks10.1155/2022/83795322022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/8379532
Tanvir MShahzad MAnwar MNam S(2022)TranslyticsScientific Programming10.1155/2022/43019442022Online publication date: 10-Aug-2022
https://dl.acm.org/doi/10.1155/2022/4301944

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