1
Pusat Pengajian Matematik, Universiti Teknologi Mara Cawangan Negeri Sembilan, Kampus Seremban, 70300 Seremban, Malaysia; Fakulti Sains dan Teknologi, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor Darul Ehsan
(zahari@uitm.edu.my)
2
Faculty of Business Management Universiti Teknologi MARA Cawangan Negeri Sembilan, Kampus Seremban
(surinazri0084@gnail.com)
3
College of Communication, Zaozhuang University, Zaozhuang, 277000, Shandong, China
(zlu3276@gmail.com)
4
Department of Mathematics, Faculty of Education for Pure Sciences, University Of Anbar, Ramadi, Anbar, Iraq
( faisal.ghazi@uoanbar.edu.iq)
5
College of Pharmacy, National University of Science and Technology, Dhi Qar, Iraq
(rawan-a.shlaka@nust.edu.iq)
6
Basic Sciences Department, Preparatory Year Deanship, King Faisal University, Al-Ahsa 31982, Saudi Arabia
(aalquran@kfu.edu.sa)
7
Deanship of Development and Quality Assurance, King Faisal University, Al-Ahsa 31982, Saudi Arabia
(abanyawad@kfu.edu.sa)
Abstract :
This research employs DEMATEL analysis as a methodological approach to thoroughly examine the adverse consequences of implementing Artificial Intelligence (AI) among students enrolled at Universiti Teknologi MARA (UiTM) Negeri Sembilan, Malaysia. The analysis encompasses three distinct professional cohorts: student representatives, academic staff, and upper management. Through a systematic analysis of causal relationships between multiple factors, this study aims to identify and prioritize the fundamental elements contributing to the negative consequences associated with integrating artificial intelligence. The prominence of privacy and security concerns as a causal factor highlights the importance of implementing strong data protection measures and adhering to ethical practices related to AI. Furthermore, various factors connected with personal disconnection, restricted adaptability, dependance on technology, and insufficient emotional intelligence influence the adverse outcomes of artificial intelligence implementation among students. The results underscore the necessity of implementing focused interventions and strategies to tackle these difficulties and guarantee a harmonious and advantageous integration of artificial intelligence in students' educational journeys. Higher education institutions can effectively harness the advantages of AI while ensuring their students' welfare and educational achievements by recognizing and proactively addressing any potential limitations.
Keywords :
DEMATEL analysis; Artificial Intelligence; Higher Education; Student Welfare; Data Protection.
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| Style | # |
|---|---|
| MLA | Zahari Md Rodzi , Wan Normila Mohamad, Zhang Lu, Faisal Al-Sharqi, Rawan A. shlaka, Ashraf Al-Quran, Ali M. Alorsan Bany Awad. "Unraveling the Complexity: A DEMATEL Analysis of the Negative Impact of Artificial Intelligence (AI) Adoption among Students in Higher Education." Journal of Intelligent Systems and Internet of Things, Vol. 11, No. 2, 2024 ,PP. 30-41 (Doi : https://doi.org/10.54216/JISIoT.110203) |
| APA | Zahari Md Rodzi , Wan Normila Mohamad, Zhang Lu, Faisal Al-Sharqi, Rawan A. shlaka, Ashraf Al-Quran, Ali M. Alorsan Bany Awad. (2024). Unraveling the Complexity: A DEMATEL Analysis of the Negative Impact of Artificial Intelligence (AI) Adoption among Students in Higher Education. Journal of Journal of Intelligent Systems and Internet of Things, 11 ( 2 ), 30-41 (Doi : https://doi.org/10.54216/JISIoT.110203) |
| Chicago | Zahari Md Rodzi , Wan Normila Mohamad, Zhang Lu, Faisal Al-Sharqi, Rawan A. shlaka, Ashraf Al-Quran, Ali M. Alorsan Bany Awad. "Unraveling the Complexity: A DEMATEL Analysis of the Negative Impact of Artificial Intelligence (AI) Adoption among Students in Higher Education." Journal of Journal of Intelligent Systems and Internet of Things, 11 no. 2 (2024): 30-41 (Doi : https://doi.org/10.54216/JISIoT.110203) |
| Harvard | Zahari Md Rodzi , Wan Normila Mohamad, Zhang Lu, Faisal Al-Sharqi, Rawan A. shlaka, Ashraf Al-Quran, Ali M. Alorsan Bany Awad. (2024). Unraveling the Complexity: A DEMATEL Analysis of the Negative Impact of Artificial Intelligence (AI) Adoption among Students in Higher Education. Journal of Journal of Intelligent Systems and Internet of Things, 11 ( 2 ), 30-41 (Doi : https://doi.org/10.54216/JISIoT.110203) |
| Vancouver | Zahari Md Rodzi , Wan Normila Mohamad, Zhang Lu, Faisal Al-Sharqi, Rawan A. shlaka, Ashraf Al-Quran, Ali M. Alorsan Bany Awad. Unraveling the Complexity: A DEMATEL Analysis of the Negative Impact of Artificial Intelligence (AI) Adoption among Students in Higher Education. Journal of Journal of Intelligent Systems and Internet of Things, (2024); 11 ( 2 ): 30-41 (Doi : https://doi.org/10.54216/JISIoT.110203) |
| IEEE | Zahari Md Rodzi, Wan Normila Mohamad, Zhang Lu, Faisal Al-Sharqi, Rawan A. shlaka, Ashraf Al-Quran, Ali M. Alorsan Bany Awad, Unraveling the Complexity: A DEMATEL Analysis of the Negative Impact of Artificial Intelligence (AI) Adoption among Students in Higher Education, Journal of Journal of Intelligent Systems and Internet of Things, Vol. 11 , No. 2 , (2024) : 30-41 (Doi : https://doi.org/10.54216/JISIoT.110203) |