An In-Depth Bibliometric Analysis to Understand the Impact and Future of Artificial Intelligence in Higher Education

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dc.contributor.authorAydogmus, Hacer Yumurtaci
dc.contributor.authorAydoğmuş, Ufuk
dc.contributor.authorTürkan, Yusuf Sait
dc.date.accessioned2026-01-24T12:20:57Z
dc.date.available2026-01-24T12:20:57Z
dc.date.issued2025
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractCurrently, artificial intelligence is used in many different ways in many different sectors-for example, in the diagnosis of diseases in the field of health by processing data, for inventory management in logistics management, and for customer service in tourism. Artificial intelligence is also used in higher education institutions in different fields such as intelligent learning systems and data management. There are different studies in the literature on the use of artificial intelligence in higher education. Considering its importance, analyzing the studies in the literature comprehensively is important for understanding the applications and making it easier for educational institutions to experience an artificial intelligence adaptation process. © 2025 by IGI Global Scientific Publishing.
dc.identifier.doi10.4018/979-8-3693-7949-3.ch005
dc.identifier.endpage152
dc.identifier.isbn9798369379493
dc.identifier.isbn9798369379516
dc.identifier.scopus2-s2.0-105008158726
dc.identifier.scopusqualityN/A
dc.identifier.startpage117
dc.identifier.urihttps://doi.org/10.4018/979-8-3693-7949-3.ch005
dc.identifier.urihttps://hdl.handle.net/20.500.12868/4723
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIGI Global
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260121
dc.subjectArtificial intelligence
dc.subjectData handling
dc.subjectInformation management
dc.subjectLearning systems
dc.subjectBibliometrics analysis
dc.subjectCustomer-service
dc.subjectDiagnoses of disease
dc.subjectEducational institutions
dc.subjectHigh educations
dc.subjectHigher education institutions
dc.subjectIntelligent learning systems
dc.subjectInventory management
dc.subjectLearning data
dc.subjectLogistic management
dc.subjectInventory control
dc.titleAn In-Depth Bibliometric Analysis to Understand the Impact and Future of Artificial Intelligence in Higher Education
dc.typeBook Chapter

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