Cyberbullying in e-Learning platform: a text mining analytics
The adoption and use of Learning Management System (LMS) in Higher Education Institutions (HEIs) have become inevitable for teaching and learning process. It facilitates communications between teachers and students, as well as among students, regardless of physical barriers and time. However, there...
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International Conference on E-Learning 2019
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iium-783442020-03-09T02:42:53Z http://irep.iium.edu.my/78344/ Cyberbullying in e-Learning platform: a text mining analytics Kartiwi, Mira Gunawan, Teddy Surya T61 Technical education. Technical schools The adoption and use of Learning Management System (LMS) in Higher Education Institutions (HEIs) have become inevitable for teaching and learning process. It facilitates communications between teachers and students, as well as among students, regardless of physical barriers and time. However, there is also a dark side to the online environment, given more and more adolescents admit they have been the victims or bystanders of cyberbullying. In order to ensure that the online learning environment is safe for everyone, it is critical to assess the extent of the conversation carried out through the platform so as to ensure that no such misconduct is carried out via LMS. This paper also aimed to propose a practical solution to combat cyberbullying in an educational platform, and shed some lights on the potential applications of text mining techniques in educational research. International Conference on E-Learning 2019 2019 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/78344/13/78344.pdf Kartiwi, Mira and Gunawan, Teddy Surya (2019) Cyberbullying in e-Learning platform: a text mining analytics. In: International Conference on E-Learning 2019, 21st-22nd August 2019, Kuching, Sarawak. https://global.uthm.edu.my/icoel2019/proceeding_icoel2019.pdf |
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institution_category |
Local University |
institution |
International Islamic University Malaysia |
building |
IIUM Repository |
collection |
Online Access |
language |
English |
topic |
T61 Technical education. Technical schools |
spellingShingle |
T61 Technical education. Technical schools Kartiwi, Mira Gunawan, Teddy Surya Cyberbullying in e-Learning platform: a text mining analytics |
description |
The adoption and use of Learning Management System (LMS) in Higher Education Institutions (HEIs) have become inevitable for teaching and learning process. It facilitates communications between teachers and students, as well as among students, regardless of physical barriers and time. However, there is also a dark side to the online environment, given more and more adolescents admit they have been the victims or bystanders of cyberbullying. In order to ensure that the online learning environment is safe for everyone, it is critical to assess the extent of the conversation carried out through the platform so as to ensure that no such misconduct is carried out via LMS. This paper also aimed to propose a practical solution to combat cyberbullying in an educational platform, and shed some lights on the potential applications of text mining techniques in educational research. |
format |
Conference or Workshop Item |
author |
Kartiwi, Mira Gunawan, Teddy Surya |
author_facet |
Kartiwi, Mira Gunawan, Teddy Surya |
author_sort |
Kartiwi, Mira |
title |
Cyberbullying in e-Learning platform: a text mining analytics |
title_short |
Cyberbullying in e-Learning platform: a text mining analytics |
title_full |
Cyberbullying in e-Learning platform: a text mining analytics |
title_fullStr |
Cyberbullying in e-Learning platform: a text mining analytics |
title_full_unstemmed |
Cyberbullying in e-Learning platform: a text mining analytics |
title_sort |
cyberbullying in e-learning platform: a text mining analytics |
publisher |
International Conference on E-Learning 2019 |
publishDate |
2019 |
url |
http://irep.iium.edu.my/78344/ http://irep.iium.edu.my/78344/ http://irep.iium.edu.my/78344/13/78344.pdf |
first_indexed |
2023-09-18T21:50:24Z |
last_indexed |
2023-09-18T21:50:24Z |
_version_ |
1777413730535997440 |