Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Librarians' Awareness and Perception toward the Adoption of Artificial Intelligence (AI) in University Libraries in Delta State, Nigeria
0
Zitationen
3
Autoren
2025
Jahr
Abstract
Abstract Purpose: This study investigated librarians’ awareness, perceptions, and willingness to adopt artificial intelligence (AI) in university libraries in Delta State, Nigeria. Methodology: The study employed a descriptive survey design, targeting the entire population of 90 librarians across four universities in Delta State. A census sampling technique was adopted, and data were collected using a self-structured questionnaire titled Librarians’ Awareness and Perception toward Artificial Intelligence Questionnaire (LAPAIQ). Data analysis was conducted using descriptive statistics such as frequencies, percentages, mean scores, and a set criterion mean of 2.50 to guide interpretation. Findings: The results showed that librarians demonstrated low awareness of AI, with limited understanding of its applications and minimal exposure to training. However, perceptions were largely positive, as respondents acknowledged AI’s potential to improve service delivery, efficiency, accessibility, and cost-effectiveness. A high level of willingness to adopt AI was also observed, with librarians expressing readiness to support policies, participate in pilot projects, and attend training. Nonetheless, challenges such as resistance to change, inadequate ICT skills, insufficient training opportunities, poor infrastructure, and funding limitations were identified as major barriers to adoption. Conclusion: Although librarians in Delta State have limited awareness, their positive perceptions and willingness to adopt AI highlight the need for targeted training, infrastructural investment, and supportive policies to ensure successful integration. Study Type: Research Paper
Ähnliche Arbeiten
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller
1999 · 5.632 Zit.
An experiment in linguistic synthesis with a fuzzy logic controller
1975 · 5.548 Zit.
A FRAMEWORK FOR REPRESENTING KNOWLEDGE
1988 · 4.548 Zit.
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
2023 · 3.292 Zit.