Devyaniba R. Jadeja Librarian, St. Xaviers CMI Public School Bhavnagar Gujarat 364002, India
Jaypalsinh A. Gohil Assistant Professor, Department of Computer Application, Marwadi University, Rajkot, Gujarat 360003, India
Address for correspondence: Jaypalsinh A. Gohil, Assistant Professor, Department of Computer Application, Marwadi University, Rajkot, Gujarat 360003, India E-mail: jaypalsinh.gohil@marwadieducation.edu.in
This license enables reusers to distribute, remix, adapt,
and build upon the material in any medium or format for noncommercial purposes
only, and only so long as attribution is given to the creator.
Jadeja DR, Gohil JA. Prospective approaches for artificial intelligence integration in Indian school libraries. Indian J Lib Inf Sci. 2024;18(2):145-53.
Timeline
Received : March 16, 2024
Accepted : May 22, 2024
Published : August 18, 2024
Abstract
School libraries play a crucial role in the educational ecosystem, offering a variety of resources and services that contribute significantly to students’ academic success, personal development, and lifelong learning. The integration of Artificial Intelligence (AI) in school libraries brings about several benefits and opportunities, enhancing the overall learning experience for students and streamlining library operations. Libraries are dynamic institutions, and their tools need to evolve to keep pace with technological advancements and changing user expectations. Regular assessments, feedback from users, and collaboration with the broader library community can help identify areas for improvement and guide the development of more effective library science tools.While libraries can function without incorporating AI, certain challenges and limitations may arise in the absence of AI technologies. In this paper, we focus on AI research in the field of library science is essential for leveraging technology to its fullest potential, improving efficiency, enhancing user experiences, and ensuring that libraries remain dynamic and relevant in the digital age. It allows libraries to adapt to changing user needs and technological advancements, ultimately contributing to the overall effectiveness and impact of library services.
References
1. C. Kuhlthau, “Guided Inquiry: School Libraries in the 21st Century,” Sch. Libr. Worldw., pp. 1–12, Oct. 2001, doi: 10.29173/slw6797.
2. B. D. Lund and T. Wang, “Chatting about ChatGPT: how may AI and GPT impact academia and libraries?,” Libr. Hi Tech News, vol. 40, no. 3, pp. 26–29, May 2023, doi: 10.1108/LHTN-01-2023- 0009.
3. R. O. Okunlaya, N. Syed Abdullah, and R. A. Alias, “Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education,” Libr. Hi Tech, vol. 40, no. 6, pp. 1869–1892, Dec. 2022, doi: 10.1108/LHT-07-2021-0242.
4. M. Y. Ali, S. Bin Naeem, and R. Bhatti, “Artificial intelligence tools and perspectives of university librarians: An overview,” Bus. Inf. Rev., vol. 37, no. 3, pp. 116–124, Sep. 2020, doi: 10.1177/0266382120952016.
5. A. Asemi and A. Asemi, “Artificial intelligence(AI) application in library systems in Iran: A taxonomy study,” Libr. Philos. Pract., vol. 2019, 2019.
6. B. D. Lund, I. Omame, S. Tijani, and D. Agbaji, “Perceptions toward artificial intelligence among academic library employees and alignment with the diffusion of innovations’ adopter categories,” Coll. Res. Libr., vol. 81, no. 5, pp. 865–882, 2020, doi: 10.5860/crl.81.5.865.
7. A. M. Cox, S. Pinfield, and S. Rutter, “The intelligent library: Thought leaders’ views on the likely impact of artificial intelligence on academic libraries,” Libr. Hi Tech, vol. 37, no. 3, pp. 418–435, 2019, doi: 10.1108/LHT-08-2018-0105.
8. T. I. Yusuf, O. A. Adebayo, L. A. Bello, and J. O. Kayode, “Adoption of Artificial Intelligence for Effective Library Service Delivery in Academic Libraries in Nigeria,” Libr. Philos. Pract., no. January, pp. 1–13, 2022.
9. S. Hervieux and A. Wheatley, “Perceptions of artificial intelligence: A survey of academic librarians in Canada and the United States,” J. Acad. Librariansh., vol. 47, no. 1, p. 102270, 2021, doi: 10.1016/j.acalib.2020.102270.
10. M. O. Ragunathan, “Artificial Intelligence and Multimedia Facilities in School Libraries : Possibilities for the Future,” 2023.
11. A. Wheatley and S. Hervieux, “Artificial intelligence in academic libraries: An environmental scan,” Inf. Serv. Use, vol. 39, no. 4, pp. 347–356, 2020, doi: 10.3233/ISU-190065.
Data Sharing Statement
There are no additional data available.
Funding
This research received no funding.
Author Contributions
All authors contributed significantly to the work and approve its publication.
Ethics Declaration
This article does not involve any human or animal subjects, and therefore does not require ethics approval.
Acknowledgements
Information not provided.
Conflicts of Interest
The authors report no conflicts of interest in this work.
About this article
Cite this article
Jadeja DR, Gohil JA. Prospective approaches for artificial intelligence integration in Indian school libraries. Indian J Lib Inf Sci. 2024;18(2):145-53.
This license enables reusers to distribute, remix, adapt,
and build upon the material in any medium or format for noncommercial purposes
only, and only so long as attribution is given to the creator.
This license enables reusers to distribute, remix, adapt,
and build upon the material in any medium or format for noncommercial purposes
only, and only so long as attribution is given to the creator.