Exploring the Impact of Generative Artificial Intelligence
on Higher Education Students’ Utilization of Library
Resources
Item
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Title
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Exploring the Impact of Generative Artificial Intelligence
on Higher Education Students’ Utilization of Library
Resources
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Creator
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Lynsey Meakin
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Abstract
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In the field of higher education, generative artificial intelligence (GenAI) has become a revolutionary
influence, shaping how students access and use library resources. This study explores the intricate
balance of both positive and negative effects that GenAI might have on the academic library
experience for higher education (HE) students. The key aspects of enhanced discovery and retrieval,
personalization and engagement, streamlined research processes, and digital literacy and
information evaluation potentially offered through using generative AI will be considered. These
prospective advantages to HE students offered by using GenAI will be examined through will be
examined through the theoretical framework of the Technological Acceptance Model (TAM)
introduced by Davis et al. in 1986, which suggests that perceived usefulness and perceived ease of use
are key factors in determining user acceptance and utilization of technology. The adoption of GenAI
by higher education students will be analyzed from this viewpoint before assessing its impact on their
use of library resources.
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Date Submitted
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31 October 2023
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Date Accepted
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19 August 2024
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Date Available
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23 September 2024
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Extent
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14 pages
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Format
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PDF
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Language
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English
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Type
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Text
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Subject
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Artificial intelligence
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Computational intelligence
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Educational technology
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Computer literacy
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Critical thinking
