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Prediction on Digital Addiction among Undergraduate Students during Pandemic using Machine Learning

The purpose of the final year project is to do detailed research on digital addictions on how it affects undergraduate students during the pandemic, and to come out with a analytical analysis using technical skills. The research on the project had shown that digital addiction is not only focus on pl...

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Main Author: Jamaludin, Nur Diana
Format: Final Year Project
Language:English
Published: 2021
Subjects:
T Technology (General)
Online Access:http://utpedia.utp.edu.my/id/eprint/24137/1/Prediction%20on%20Digital%20Addiction%20among%20Undergraduate%20Students%20during%20Pandemic%20using%20Machine%20Learning.pdf
http://utpedia.utp.edu.my/id/eprint/24137/
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spelling oai:utpedia.utp.edu.my:241372023-03-15T03:47:33Z http://utpedia.utp.edu.my/id/eprint/24137/ Prediction on Digital Addiction among Undergraduate Students during Pandemic using Machine Learning Jamaludin, Nur Diana T Technology (General) The purpose of the final year project is to do detailed research on digital addictions on how it affects undergraduate students during the pandemic, and to come out with a analytical analysis using technical skills. The research on the project had shown that digital addiction is not only focus on playing online video games, but it can also be in any types of online activities. The study also shown that digital addiction has grown throughout the pandemic and had affect the student’s personal health. In most recent cases, it had shown that university students went through multiple types of mental health issues due to limitations of movement and had spent hours on online activities. By having this project, may help the respected bodies and university association to take further action in order to take care the students physical and mental health. Other than that, it might also help the government bodies to take early actions to handle student’s welfare. 2021-09 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/24137/1/Prediction%20on%20Digital%20Addiction%20among%20Undergraduate%20Students%20during%20Pandemic%20using%20Machine%20Learning.pdf Jamaludin, Nur Diana (2021) Prediction on Digital Addiction among Undergraduate Students during Pandemic using Machine Learning. [Final Year Project] (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Jamaludin, Nur Diana
Prediction on Digital Addiction among Undergraduate Students during Pandemic using Machine Learning
description The purpose of the final year project is to do detailed research on digital addictions on how it affects undergraduate students during the pandemic, and to come out with a analytical analysis using technical skills. The research on the project had shown that digital addiction is not only focus on playing online video games, but it can also be in any types of online activities. The study also shown that digital addiction has grown throughout the pandemic and had affect the student’s personal health. In most recent cases, it had shown that university students went through multiple types of mental health issues due to limitations of movement and had spent hours on online activities. By having this project, may help the respected bodies and university association to take further action in order to take care the students physical and mental health. Other than that, it might also help the government bodies to take early actions to handle student’s welfare.
format Final Year Project
author Jamaludin, Nur Diana
author_facet Jamaludin, Nur Diana
author_sort Jamaludin, Nur Diana
title Prediction on Digital Addiction among Undergraduate Students during Pandemic using Machine Learning
title_short Prediction on Digital Addiction among Undergraduate Students during Pandemic using Machine Learning
title_full Prediction on Digital Addiction among Undergraduate Students during Pandemic using Machine Learning
title_fullStr Prediction on Digital Addiction among Undergraduate Students during Pandemic using Machine Learning
title_full_unstemmed Prediction on Digital Addiction among Undergraduate Students during Pandemic using Machine Learning
title_sort prediction on digital addiction among undergraduate students during pandemic using machine learning
publishDate 2021
url http://utpedia.utp.edu.my/id/eprint/24137/1/Prediction%20on%20Digital%20Addiction%20among%20Undergraduate%20Students%20during%20Pandemic%20using%20Machine%20Learning.pdf
http://utpedia.utp.edu.my/id/eprint/24137/
_version_ 1761620921403047936
score 13.223943

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