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...
Published in: | 2023 4th International Conference on Artificial Intelligence and Data Sciences: Discovering Technological Advancement in Artificial Intelligence and Data Science, AiDAS 2023 - Proceedings |
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Institute of Electrical and Electronics Engineers Inc.
2023
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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 |
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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. |
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Institute of Electrical and Electronics Engineers Inc. |
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English |
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Conference paper |
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scopus |
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Scopus |
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1809677889835106304 |