Enhanced Research Consultation and Innovative Library Instruction: The Role of Generative AI in Personalized Academic Support
Title
Enhanced Research Consultation and Innovative Library Instruction: The Role of Generative AI in Personalized Academic Support
Description
This is part of the CALASYSÂ Mini-grant program.
Background: The University of Central Florida Libraries is exploring the use of generative AI to enhance library instruction and research consultation services. Across academic libraries, the adoption of tools like ChatGPT-4o, Claude, Copilot, Perplexity, and Gemini is rapidly increasing, driven by their potential to streamline research support, enhance instructional delivery, and personalize user experiences. As libraries seek innovative ways to meet evolving student needs, generative AI offers a promising avenue for transforming traditional service models.
Objective: This study aimed to customize ChatGPT-4o to integrate with subscription databases, enabling tailored support for business and engineering students. It also sought to assess how AI-enhanced services could improve student engagement and learning outcomes.
Methods: The project involved designing, developing, and implementing AI-driven library services tailored to the needs of business and engineering students. To evaluate their impact, students who used the services were invited to complete an anonymous survey capturing both qualitative feedback and quantitative data on their experiences, which were then analyzed to assess the effectiveness of the tool and user satisfaction.
Results: The findings revealed notable improvements in the efficiency and effectiveness of library support services. The study demonstrated the transformative potential of generative AI in academic libraries and offered actionable recommendations for future implementations. It also inspired other subject librarians to consider adopting similar AI-driven services to better support students within their respective fields.
Contributions: This study adds to the growing body of literature on the application of generative AI in academic libraries. It offers practical insights for librarians interested in leveraging AI technologies to enhance instruction, research support, and overall service delivery within their institutions.
Background: The University of Central Florida Libraries is exploring the use of generative AI to enhance library instruction and research consultation services. Across academic libraries, the adoption of tools like ChatGPT-4o, Claude, Copilot, Perplexity, and Gemini is rapidly increasing, driven by their potential to streamline research support, enhance instructional delivery, and personalize user experiences. As libraries seek innovative ways to meet evolving student needs, generative AI offers a promising avenue for transforming traditional service models.
Objective: This study aimed to customize ChatGPT-4o to integrate with subscription databases, enabling tailored support for business and engineering students. It also sought to assess how AI-enhanced services could improve student engagement and learning outcomes.
Methods: The project involved designing, developing, and implementing AI-driven library services tailored to the needs of business and engineering students. To evaluate their impact, students who used the services were invited to complete an anonymous survey capturing both qualitative feedback and quantitative data on their experiences, which were then analyzed to assess the effectiveness of the tool and user satisfaction.
Results: The findings revealed notable improvements in the efficiency and effectiveness of library support services. The study demonstrated the transformative potential of generative AI in academic libraries and offered actionable recommendations for future implementations. It also inspired other subject librarians to consider adopting similar AI-driven services to better support students within their respective fields.
Contributions: This study adds to the growing body of literature on the application of generative AI in academic libraries. It offers practical insights for librarians interested in leveraging AI technologies to enhance instruction, research support, and overall service delivery within their institutions.
Creator
Basco, Buenaventura (Ven)
Tong, Min
Publisher
Asia-Pacific Library and Information Education and Practice Conference
Date
2025-12
Format
application/pdf
Language
eng
Type
Text
Conference Proceeding
Date Issued
2025-12
Extent
page 160-167
Position: 1118 (4 views)
Files
Citation
Basco, Buenaventura (Ven) and Tong, Min, “Enhanced Research Consultation and Innovative Library Instruction: The Role of Generative AI in Personalized Academic Support,” CALASYS - CALA Academic Resources & Repository System, accessed June 24, 2026, https://ir.cala-web.org/items/show/1590.