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    <title>DSpace Collection:</title>
    <link>http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/106</link>
    <description />
    <pubDate>Wed, 17 Jun 2026 12:34:15 GMT</pubDate>
    <dc:date>2026-06-17T12:34:15Z</dc:date>
    <item>
      <title>Preservation Methods and Digitisation Techniques on Management of Cultural Artefacts: A Systematic Review</title>
      <link>http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31650</link>
      <description>Title: Preservation Methods and Digitisation Techniques on Management of Cultural Artefacts: A Systematic Review
Authors: Abdullahi, Zakariyawu; Abduldayan, Fatimah Jibril; Tafida, Amina Gogo
Abstract: This systematic review examines contemporary preservation methods and digitisation&#xD;
techniques employed in managing cultural artefacts, synthesizing findings from 48&#xD;
studies published between 2010 and 2024. Cultural artefacts are vital for preserving&#xD;
heritage, identity, and history, necessitating effective management strategies. Traditional&#xD;
physical preservation methods such as climate-controlled storage, restoration, pest&#xD;
management, and preventive conservation remain foundational for maintaining artefact&#xD;
integrity. Concurrently, digitisation techniques including 3D scanning, digital archiving,&#xD;
and virtual exhibitions have increasingly complemented these methods by improving&#xD;
documentation, accessibility, and public engagement. The review reveals that integrated&#xD;
approaches combining physical preservation and digitisation offer significant benefits,&#xD;
enhancing conservation outcomes and enabling wider dissemination of cultural&#xD;
knowledge. However, challenges persist, notably the high costs of digital technologies,&#xD;
limited technical expertise, and insufficient institutional capacity. Moreover, ethical&#xD;
considerations and community involvement are critical to culturally sensitive&#xD;
management but are often underemphasized. The methodology involved systematic&#xD;
literature searches across major databases using keywords related to cultural artefact&#xD;
preservation and digitisation, followed by rigorous screening and narrative synthesis of&#xD;
eligible studies. Based on findings, this review recommends increased investment in&#xD;
professional training, sustainable funding models, stronger policy frameworks, and&#xD;
active community engagement to support integrated preservation practices. Future&#xD;
research should explore affordable digitisation solutions adaptable to resource-limited&#xD;
settings and develop comprehensive models that harmonize physical and digital&#xD;
management techniques. In conclusion, the integration of traditional and digital&#xD;
preservation methods is essential for safeguarding cultural artefacts sustainably,&#xD;
ensuring their longevity and accessibility for educational and cultural enrichment across&#xD;
generations.
Description: Conference</description>
      <pubDate>Sun, 28 Sep 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31650</guid>
      <dc:date>2025-09-28T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Readiness of Nigerian University Libraries for Ai-Driven Collection Development: A Systematic Review</title>
      <link>http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31487</link>
      <description>Title: Readiness of Nigerian University Libraries for Ai-Driven Collection Development: A Systematic Review
Authors: Tizhe, Martha; Abduldayan, Fatimah Jibril; Chuks-Ibe, Prisca Oluchi
Abstract: The emergence of Artificial Intelligence (AI) in academic libraries presents transformative&#xD;
opportunities for enhancing collection development practices. However, the readiness of libraries&#xD;
particularly in developing countries like Nigeria to adopt AI-driven systems remains&#xD;
underexplored. This paper presents a systematic review of literature on the readiness of Nigerian&#xD;
university libraries for AI adoption in collection development. The review was conducted using&#xD;
structured searches across major academic databases including Google Scholar, Scopus, and&#xD;
African Journals Online (AJOL), targeting publications between 2018 and 2025. Inclusion criteria&#xD;
focused on peer-reviewed articles, conference papers, and institutional reports discussing AI in&#xD;
library services, technological infrastructure, policy frameworks, and staff competencies. The&#xD;
findings were organised thematically around key readiness indicators: technological&#xD;
infrastructure, human resource capacity, policy support, and institutional willingness, challenges&#xD;
facing AI adoption and opportunities and positive trends. The study reveals that while there is&#xD;
increasing awareness of AI applications in library settings, actual readiness for adoption is limited&#xD;
by infrastructural deficits, lack of formal training, absence of AI-focused policies, and low funding.&#xD;
Nonetheless, a strong interest and willingness among library professionals suggest fertile ground&#xD;
for future interventions. The study concludes with practical recommendations including the&#xD;
development of institutional AI roadmaps, investment in librarians' upskilling, and strategic&#xD;
collaboration between libraries, universities, and technology partners to drive AI integration in&#xD;
collection development.
Description: Conference Paper</description>
      <pubDate>Sun, 28 Sep 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31487</guid>
      <dc:date>2025-09-28T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Awareness and Utilisation of Electronic Databases by Undergraduate Students for Improved Academic Performance in Federal College of Education, Okene, Nigeria</title>
      <link>http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31477</link>
      <description>Title: Awareness and Utilisation of Electronic Databases by Undergraduate Students for Improved Academic Performance in Federal College of Education, Okene, Nigeria
Authors: Chuks-Ibe, Prisca Oluchi; Akobe, Oluwatosin Daniel
Abstract: This study examined the awareness and utilisation of electronic databases among undergraduate&#xD;
students for improved academic performance in the Federal College of Education, Okene,&#xD;
Nigeria. The study was necessitated by the growing importance of electronic information&#xD;
resources in academic libraries and the need for students to effectively utilise subscribed&#xD;
databases for learning, research, and academic development. The study also examined among&#xD;
other objectives: awareness of undergraduate students of the availability of electronic&#xD;
databases; frequency of use of electronic databases; challenges in the use of electronic&#xD;
databases; strategies to promote the awareness and utilsation of e-databases. A descriptive&#xD;
survey research design was adopted for the study. The population comprised undergraduate&#xD;
students of the Federal College of Education, Okene, from which a sample of 200 respondents&#xD;
was selected using simple random sampling technique. Data were collected through a structured&#xD;
questionnaire and analysed using frequency counts, percentages, and mean scores with a&#xD;
decision benchmark of 2.50. The findings revealed that students were aware of several electronic&#xD;
databases such as Academic Search, Google Scholar, JSTOR, Nexis Uni, ScienceDirect, Web of&#xD;
Science, and PubMed/Medline, although the level of awareness differed across the databases.&#xD;
The study also revealed a moderate frequency of electronic database usage among students, with&#xD;
certain resources experiencing underutilisation. Major challenges identified included lack of&#xD;
awareness, inadequate access to computers, poor internet connectivity, insufficient information&#xD;
retrieval skills, inadequate training, and limited digital facilities. Furthermore, the study&#xD;
revealed that strategies such as library orientation programmes, user education, marketing of&#xD;
electronic resources, improved internet services, provision of digital facilities, and regular&#xD;
training for both students and library staff would enhance awareness and utilisation of&#xD;
electronic databases. The study concluded that increased awareness, improved infrastructure,&#xD;
and continuous information literacy training are essential for enhancing students’ academic&#xD;
performance through effective use of electronic databases.
Description: Journal Publication</description>
      <pubDate>Fri, 01 May 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31477</guid>
      <dc:date>2026-05-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Readiness of Nigerian University Libraries for AI-Driven Collection Development: A Systematic Review</title>
      <link>http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31476</link>
      <description>Title: Readiness of Nigerian University Libraries for AI-Driven Collection Development: A Systematic Review
Authors: Tizhe, Martha; Abduldayan, Fatimah Jibril; Chuks-Ibe, Prisca Oluchi
Abstract: The emergence of Artificial Intelligence (AI) in academic libraries presents transformative&#xD;
opportunities for enhancing collection development practices. However, the readiness of libraries&#xD;
particularly in developing countries like Nigeria to adopt AI-driven systems remains&#xD;
underexplored. This paper presents a systematic review of literature on the readiness of Nigerian&#xD;
university libraries for AI adoption in collection development. The review was conducted using&#xD;
structured searches across major academic databases including Google Scholar, Scopus, and&#xD;
African Journals Online (AJOL), targeting publications between 2018 and 2025. Inclusion criteria&#xD;
focused on peer-reviewed articles, conference papers, and institutional reports discussing AI in&#xD;
library services, technological infrastructure, policy frameworks, and staff competencies. The&#xD;
findings were organised thematically around key readiness indicators: technological&#xD;
infrastructure, human resource capacity, policy support, and institutional willingness, challenges&#xD;
facing AI adoption and opportunities and positive trends. The study reveals that while there is&#xD;
increasing awareness of AI applications in library settings, actual readiness for adoption is limited&#xD;
by infrastructural deficits, lack of formal training, absence of AI-focused policies, and low funding.&#xD;
Nonetheless, a strong interest and willingness among library professionals suggest fertile ground&#xD;
for future interventions. The study concludes with practical recommendations including the&#xD;
development of institutional AI roadmaps, investment in librarians' upskilling, and strategic&#xD;
collaboration between libraries, universities, and technology partners to drive AI integration in&#xD;
collection development.
Description: Conference Paper</description>
      <pubDate>Sun, 28 Sep 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31476</guid>
      <dc:date>2025-09-28T00:00:00Z</dc:date>
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