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AN ASSESSMENT ON THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING ACADEMIC LIBRARY SERVICES: CASE STUDY AT MARUCO UNIVERSITY
oai:repository.slads.sc.tz:cmsstk4tt000an8c5il4qnkrd· datestamp 2026-11-10T09:59:28Zdepartment:LIMtype:dissertation
| dc:title | AN ASSESSMENT ON THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING ACADEMIC LIBRARY SERVICES: CASE STUDY AT MARUCO UNIVERSITY |
|---|---|
| dc:creator | Anjela Elias Mahwata |
| dc:subject | Artificial Intelligence |
| dc:subject | Information and Communication Technology |
| dc:subject | Online Public Access Catalog |
| dc:subject | Library Management System |
| dc:subject | Integrated Library System |
| dc:subject | Radio Frequency Identification |
| dc:subject | Marian University College |
| dc:subject | Information Technology |
| dc:subject | Digital Library |
| dc:subject | Natural Language Processing |
| dc:subject | Machine Learning |
| dc:subject | Optical Character Recognition |
| dc:subject | Portable Document Format |
| dc:subject | International Standard Book Number |
| dc:description | This study examined the role of Artificial Intelligence (AI) in enhancing library services. The main objective of the study was to examine how AI technologies improve the efficiency, effectiveness, and quality of library services. Specifically, the study sought to identify AI technologies used in libraries, examine how AI enhances library services, assess the perceptions of librarians and library users toward AI, identify challenges affecting AI adoption, and propose strategies for improving the implementation of AI in libraries. The study employed a descriptive research design and used both primary and secondary data. Data were collected through questionnaires and interviews from librarians and library users. The collected data were analyzed using descriptive statistics and presented in tables, charts, and narrative form. The findings indicate that AI technologies such as chatbots, library management systems, recommendation systems, automated cataloguing, and digital information retrieval significantly improve access to information, reduce service delivery time, enhance user satisfaction, and increase the efficiency of library operations. However, the study also identified challenges including inadequate funding, limited ICT infrastructure, insufficient technical skills, and resistance to technological change. The study concludes that Artificial Intelligence has great potential to transform library services by improving information access and operational efficiency. It recommends increased investment in ICT infrastructure, continuous staff training, adequate financial support, and the development of policies that promote the adoption and effective use of AI in libraries |
| dc:publisher | School of Library, Archives and Documentation Studies (SLADS) |
| dc:date | 2026 |
| dc:type | Text |
| dc:type | Dissertation |
| dc:format | application/pdf |
| dc:identifier | https://repository.slads.sc.tz/records/cmsstk4tt000an8c5il4qnkrd |
| dc:language | en |
| dc:rights | All rights reserved |
| dc:relation | https://repository.slads.sc.tz/api/records/cmsstk4tt000an8c5il4qnkrd/file |