AN INVESTIGATION INTO THE ADOPTION AND USE OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN TEACHING AMONG FACULTY MEMBERS AT MAYSAN UNIVERSITY

dc.contributor.authorDr. Majid Abdulmohammed Jassim
dc.date.accessioned2025-12-31T12:08:54Z
dc.date.issued2025-05-06
dc.description.abstractThe study aims to investigate the reality of faculty members' use of artificial intelligence applications at Maysan University in the teaching process and the challenges facing their use. The study employs a descriptive analytical approach and a descriptive survey methodology, applying a questionnaire to a sample of 299 faculty members at Maysan University during the academic year 2024-2025. The findings reveal that the use of artificial intelligence applications in education among faculty members is very low, and there is a notable agreement on the existence of several challenges hindering the use of these applications. In conclusion, the study presents a set of recommendations, most notably: the need to conduct training courses for faculty members to familiarize them with the latest developments in artificial intelligence applications, motivate them to use modern technological tools, and provide the educational environment with the necessary devices to utilize these applications in the educational process.
dc.formatapplication/pdf
dc.identifier.urihttps://scholarsdigest.org/index.php/ijsae/article/view/1059
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/44772
dc.language.isoeng
dc.publisherScholars Digest Publishing
dc.relationhttps://scholarsdigest.org/index.php/ijsae/article/view/1059/1046
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0
dc.sourceInternational Journal of Studies in Advanced Education; Vol. 4 No. 5 (2025); 31-49
dc.source2949-8864
dc.source2949-8945
dc.subjectArtificial Intelligence Applications, Faculty Members, Maysan University.
dc.titleAN INVESTIGATION INTO THE ADOPTION AND USE OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN TEACHING AMONG FACULTY MEMBERS AT MAYSAN UNIVERSITY
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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