Breaking the Illusion: The Reality of Artificial Intelligence's (AI) Negative Influence on University Students

This study extensively examines the primary causes of artificial intelligence's (AI) negative effects on education, with a specific focus on UiTM Seremban students. Questionnaire-based quantitative data collection techniques are utilized to gather information from 200 students in this study. Th...

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Published in:2023 4th International Conference on Artificial Intelligence and Data Sciences: Discovering Technological Advancement in Artificial Intelligence and Data Science, AiDAS 2023 - Proceedings
Main Author: Rahman A.B.A.; Rodzi Z.M.; Razali I.N.B.; Mohamad W.N.; Nazri I.S.B.M.; Al-Sharqi F.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176545755&doi=10.1109%2fAiDAS60501.2023.10284674&partnerID=40&md5=c3384693a6f214240f9dd534aa92f0c2
id 2-s2.0-85176545755
spelling 2-s2.0-85176545755
Rahman A.B.A.; Rodzi Z.M.; Razali I.N.B.; Mohamad W.N.; Nazri I.S.B.M.; Al-Sharqi F.
Breaking the Illusion: The Reality of Artificial Intelligence's (AI) Negative Influence on University Students
2023
2023 4th International Conference on Artificial Intelligence and Data Sciences: Discovering Technological Advancement in Artificial Intelligence and Data Science, AiDAS 2023 - Proceedings


10.1109/AiDAS60501.2023.10284674
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176545755&doi=10.1109%2fAiDAS60501.2023.10284674&partnerID=40&md5=c3384693a6f214240f9dd534aa92f0c2
This study extensively examines the primary causes of artificial intelligence's (AI) negative effects on education, with a specific focus on UiTM Seremban students. Questionnaire-based quantitative data collection techniques are utilized to gather information from 200 students in this study. The final criteria were determined by specialists and analysed using SPSS 27. The findings indicate that the negative effects of AI in this educational context include personal disconnection, a lack of customization, the dissemination of inaccurate information, privacy and security concerns, increased screen time, and excessive technological reliance. Notably, the identified negative impact with the highest mean score was 'privacy and security' Notably, this research is in its early stages and seeks to identify causal relationships using the DEMATEL method. © 2023 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper

author Rahman A.B.A.; Rodzi Z.M.; Razali I.N.B.; Mohamad W.N.; Nazri I.S.B.M.; Al-Sharqi F.
spellingShingle Rahman A.B.A.; Rodzi Z.M.; Razali I.N.B.; Mohamad W.N.; Nazri I.S.B.M.; Al-Sharqi F.
Breaking the Illusion: The Reality of Artificial Intelligence's (AI) Negative Influence on University Students
author_facet Rahman A.B.A.; Rodzi Z.M.; Razali I.N.B.; Mohamad W.N.; Nazri I.S.B.M.; Al-Sharqi F.
author_sort Rahman A.B.A.; Rodzi Z.M.; Razali I.N.B.; Mohamad W.N.; Nazri I.S.B.M.; Al-Sharqi F.
title Breaking the Illusion: The Reality of Artificial Intelligence's (AI) Negative Influence on University Students
title_short Breaking the Illusion: The Reality of Artificial Intelligence's (AI) Negative Influence on University Students
title_full Breaking the Illusion: The Reality of Artificial Intelligence's (AI) Negative Influence on University Students
title_fullStr Breaking the Illusion: The Reality of Artificial Intelligence's (AI) Negative Influence on University Students
title_full_unstemmed Breaking the Illusion: The Reality of Artificial Intelligence's (AI) Negative Influence on University Students
title_sort Breaking the Illusion: The Reality of Artificial Intelligence's (AI) Negative Influence on University Students
publishDate 2023
container_title 2023 4th International Conference on Artificial Intelligence and Data Sciences: Discovering Technological Advancement in Artificial Intelligence and Data Science, AiDAS 2023 - Proceedings
container_volume
container_issue
doi_str_mv 10.1109/AiDAS60501.2023.10284674
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176545755&doi=10.1109%2fAiDAS60501.2023.10284674&partnerID=40&md5=c3384693a6f214240f9dd534aa92f0c2
description This study extensively examines the primary causes of artificial intelligence's (AI) negative effects on education, with a specific focus on UiTM Seremban students. Questionnaire-based quantitative data collection techniques are utilized to gather information from 200 students in this study. The final criteria were determined by specialists and analysed using SPSS 27. The findings indicate that the negative effects of AI in this educational context include personal disconnection, a lack of customization, the dissemination of inaccurate information, privacy and security concerns, increased screen time, and excessive technological reliance. Notably, the identified negative impact with the highest mean score was 'privacy and security' Notably, this research is in its early stages and seeks to identify causal relationships using the DEMATEL method. © 2023 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
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record_format scopus
collection Scopus
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