BENEFITS AND CHALLENGES OF AIOPS ADOPTION AND USAGE IN HEIS IN DEVELOPING COUNTRIES.
Adopting Artificial Intelligence for IT Operations (AIOps) holds transformative potential within Higher Education Institutions (HEIs) in developing countries. This systematic literature review delves into the benefits, challenges, and emerging trends associated with AIOps integration in this context...
| Publicado en: | South African Journal of Higher Education Vol. 38; no. 6; pp. 56 - 79 |
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| Autores principales: | , |
| Formato: | Artículo |
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Sabinet Online Limited
Nov2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=181638157&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 181638157 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 10113487 SG3 jtl: South African Journal of Higher Education issn: 10113487 maglogo: N pubinfo: dt: Nov2024 vid: 38 iid: 6 pid: 31334 pub: Sabinet Online Limited artinfo: ui: 181638157 10.20853/38-6-6096 ppf: 56 ppct: 23 formats: tig: atl: BENEFITS AND CHALLENGES OF AIOPS ADOPTION AND USAGE IN HEIS IN DEVELOPING COUNTRIES. aug: au: Funda, V. Francke, E. affil: Department of Information Systems University of Fort Hare Alice, Eastern Cape, South Africa Department of Information Technology Cape Peninsula University of Technology Cape Town, South Africa su: Management information systems Teaching methods Artificial intelligence Computer software management Information resources management sug: subj: Management information systems Teaching methods Artificial intelligence Computer software management Information resources management keyword: academic benefits Artificial Intelligence for IT Operations (AIOps) developing countries Higher Education Institutions (HEIs) management of computing and information systems professional topics social and professional topics software management software selection and adaptation systematic literature review ab: Adopting Artificial Intelligence for IT Operations (AIOps) holds transformative potential within Higher Education Institutions (HEIs) in developing countries. This systematic literature review delves into the benefits, challenges, and emerging trends associated with AIOps integration in this context. The review encompasses studies published between 2013 and 2023, focusing on the academic, administrative, and operational dimensions of AIOps adoption. The synthesis of 12 selected studies reveals a landscape where AIOps augments pedagogical strategies, automates administrative tasks, and enhances institutional decision-making. Academic benefits manifest through personalised learning experiences, innovative pedagogical approaches, and predictive analytics for student success. However, the integration of AIOps is full of challenges. Technical hurdles encompass data quality and availability, compatibility, and resource constraints, requiring comprehensive technological foundations. Organisational and cultural challenges necessitate strategies to mitigate change resistance, provide staff training, and address ethical considerations. The review identifies emerging patterns such as collaborative learning environments, data-driven institutional management, and the moral integration of AI in education. The interplay of benefits and challenges underscores the importance of a holistic approach involving educators, technologists, administrators, and policymakers. The findings illuminate the potential for HEIs to harness AIOps's capabilities while navigating intricacies to foster an AI-enhanced educational landscape. The implications for HEIs encompass strategic investment in infrastructure, comprehensive staff training, and ethical frameworks for AI use. The article concludes by advocating for an adaptive approach to AIOps adoption, informed by the synthesis of benefits, challenges, and emerging trends, to shape the future of education in developing countries. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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