Exploring Academic Librarians’ Perception towards Artificial Intelligence in Nigerian Polytechnics
DOI:
https://doi.org/10.56294/ai2025438Keywords:
Librarians, artificial intelligence, academic library, library services, Nigerian polytechnicAbstract
Introduction: Artificial intelligence is increasingly shaping library practices worldwide. Although Nigerian academic libraries are gradually embracing digital technologies, little is known about how librarians in polytechnic institutions interpret the integration of artificial intelligence in their work environment.
Objective: The study aimed to examine the perceptions of academic librarians in Nigerian polytechnics regarding the adoption of artificial intelligence in library operations.
Method: A survey design using mixed methods was employed. Quantitative data were collected from fifty academic librarians, while qualitative insights were obtained from five heads of ICT or automation units. Participants were purposefully selected from five polytechnic libraries in the South South region of Nigeria. Descriptive statistics and narrative analysis were used to analyse the data.
Results: The study shows that librarians are aware of artificial intelligence and acknowledge its value in improving library services. However, concerns about job security and institutional readiness influence their attitudes toward adoption. While respondents recognise the potential of artificial intelligence to enhance user satisfaction and operational efficiency, they also highlight the need for adequate training and supportive infrastructure.
Conclusion: The perceptions of librarians reflect both enthusiasm and caution toward artificial intelligence adoption. To ensure meaningful integration, institutions must invest in capacity development, strategic planning, and supportive policies. Strengthening the digital competence of librarians will be essential for sustaining their relevance and ensuring effective participation in emerging technological landscapes.
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Copyright (c) 2025 Bolaji David Oladokun, Magnus Osahon Igbinovia, Ebiere Diana Orubebe, Iyanu Emmanuel Olatunbosun (Author)
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