Analyzing the Level, Predictors, and Institutional Readiness of Artificial Intelligence Awareness among Government Degree College Librarians in Visakhapatnam District
Abstract
Artificial Intelligence (AI) usage is turning into a constituent of academic libraries as it helps in the enhancement of information searching, automatization of cataloguing operations, digital referencing services, and data-driven decision-making. As more and more technology is used in learning institutions, librarians play a critical role in the application of AI tools in managing a library. However, the level of AI awareness, determinants of AI awareness, and the institutional readiness to embrace AI have not been effectively investigated particularly in government degree colleges within semi-urban and regional locations. The paper will analyze the level of AI awareness among the librarians in government degree colleges in the Visakhapatnam District, the primary predictors involved, and the desire of their institutions to adopt AI.The research will follow a quantitative model of the study through the use of a structured questionnaire, on a sample of librarians. The descriptive statistics were employed in determining the levels of awareness, and regression analysis was employed in identifying the significant predictors in this category of five which included professional training, ICT exposure, years of experience and institutional support. The dimensions were institutional readiness, including the presence of infrastructure, policy support, skills competence, and dedication to the leadership.The findings indicate that the level of AI awareness among librarians is moderate, and professional training and ICT competence are significant predictors of it. The institutional readiness was defined in the compartmentalized form with large flaws in the infrastructure and official policies on AI. The paper has highlighted the need to train systematically, train according to policy, and invest intentionally in digital infrastructure as potential remedies to the use of AI in scholarly libraries in Andhra Pradesh.
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References
2. Cox, A. M., Pinfield, S., & Rutter, S. (2021). The intelligent library: Thought leaders’ views on the likely impact of AI on academic libraries. Library Hi Tech, 39(3), 687–703.
3. IFLA. (2021). IFLA Statement on Libraries and Artificial Intelligence. International Federation of Library Associations and Institutions.
4. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2022). Unified Theory of Acceptance and Use of Technology: A synthesis and extension. Information Systems Research, 33(1), 1–25.
5. Weiner, B. J. (2020). A theory of organizational readiness for change. Implementation Science, 15(1), 1–9.
6. Government of India. (2020). National Education Policy 2020. Ministry of Education.
7. Ministry of Electronics and Information Technology (MeitY). (2021). Digital India Programme: Annual Report 2020–21. Government of India.
8. Luo, L., Tong, S., Fang, Z., & Qu, Z. (2020). Artificial intelligence in academic libraries: A systematic review. Journal of Academic Librarianship, 46(3), 102099.
9. Zhang, Y., & Dafoe, A. (2020). Artificial intelligence: American attitudes and trends. AI & Society, 35(2), 479–490.
10. Dwivedi, Y. K., et al. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges and opportunities. International Journal of Information Management, 57, 101994.
11. Aithal, P. S., & Aithal, S. (2023). Artificial intelligence in higher education: Opportunities and challenges. International Journal of Applied Engineering and Management Letters, 7(1), 1–14.
12. Kumar, R., & Jeyshankar, R. (2022). Adoption of artificial intelligence in Indian academic libraries: Opportunities and challenges. DESIDOC Journal of Library & Information Technology, 42(4), 245–252.
13. Ahmad, S., & Yaseen, M. (2021). Artificial intelligence and libraries: A systematic literature review. Library Philosophy and Practice, 2021, 1–18.
14. Ali, M. Y., & Gatiti, P. (2020). The COVID-19 pandemic and the transformation of academic libraries. Journal of Academic Librarianship, 46(6), 102256.
15. European Commission. (2020). White Paper on Artificial Intelligence: A European approach to excellence and trust.
16. OECD. (2021). OECD Digital Education Outlook 2021: Pushing the Frontiers with AI, Blockchain and Robots.
17. UNESCO. (2021). AI and Education: Guidance for Policy-makers.
18. Joo, S., Choi, N., & Baek, T. H. (2020). Library staff’s digital competency and technology adoption. Information Development, 36(4), 580–595.
19. Sun, Y., & Zhang, Y. (2021). An empirical study of AI adoption in higher education institutions. Education and Information Technologies, 26, 5323–5342.
20. Igbinovia, M. O., & Ikenwe, I. J. (2021). Artificial intelligence in libraries: Benefits and challenges. Library Management, 42(8/9), 554–570.
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