Impact of AI on Library and Information Science in Higher Institutions in India: A Comprehensive Analysis of Technological Integration and Educational Implications

Impact of AI on Library and Information Science in Higher Institutions in India: A Comprehensive Analysis of Technological Integration and Educational Implications

K. R. Senthilkumar, R. Jagajeevan, S. Sangeetha
Copyright: © 2024 |Pages: 13
DOI: 10.4018/979-8-3693-2782-1.ch002
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Abstract

This study examines the transformative influence of artificial intelligence (AI) on library and information science (LIS) within higher education institutions in India. As technology evolves, libraries are increasingly adopting AI applications to enhance efficiency, user experiences, and information management. Automation of routine tasks, improved search and discovery mechanisms, and optimized collection management are reshaping traditional library practices. AI-driven chatbots and virtual assistants provide instant user support, while text and data mining techniques enable advanced research and trend identification. Learning analytics contribute to understanding user behavior, informing tailored interventions to support academic success. The integration of AI also addresses accessibility concerns, enhances cybersecurity, and necessitates continuous professional development for LIS professionals. This study underscores the multifaceted impact of AI on LIS in Indian higher education, pointing towards a future where technology continues to play a central role in shaping information services.
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Review Of Literature

The impact of AI on Library and Information Science (LIS) has been a subject of growing interest among researchers, educators, and practitioners worldwide. In the context of higher education institutions in India, the literature reflects a nuanced understanding of how AI is reshaping traditional library functions and services.

Numerous studies highlight the role of AI in automating routine tasks in libraries. Automation of cataloging, indexing, and sorting processes has not only improved operational efficiency but has also allowed librarians to focus on more value-added activities, contributing to a more streamlined and dynamic library environment (Gomez et al., 2019; Li & Zhang, 2020).

AI has been employed to optimize collection management processes, helping librarians make data-driven decisions regarding acquisitions and deaccessions. Studies show that AI assists in analyzing usage patterns, identifying gaps in collections, and ensuring libraries have relevant and up-to-date resources (Bharti & Jaiswal, 2019; Kaliyar et al., 2020).

The implementation of AI-driven chatbots and virtual assistants in libraries has garnered attention. These tools provide instant support, answering queries and guiding users through resources. Research suggests that they contribute to improved user experiences and operational efficiency in library services (Rao et al., 2018; Sahu & Palaiahnakote, 2021).

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