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<p>This study examines the transformation of academic library services through artificial intelligence (AI) integration at Can Tho University’s Library, with a focus on aligning AI-enabled services with student expectations. Drawing on survey data from 382 undergraduate students, the study analyzes patterns of AI usage, perceived benefits, concerns, and expectations for AI-supported research services, as well as the evolving role of academic librarians. The findings reveal high awareness and widespread use of AI tools for research-related activities, particularly literature searching, content summarization, and writing support. Students place strong value on AI’s ability to identify research trends and automate time-intensive tasks, while expressing ongoing concerns about information reliability and ethical implications. The results highlight the continued importance of librarians as intermediaries who guide responsible and effective AI use through technical expertise, information evaluation, and personalized research support. Based on these insights, the study proposes a phased approach to AI integration that emphasizes training, ethical considerations, and context-sensitive implementation. By providing empirical evidence from a Southeast Asian university, this research contributes to the broader discourse on AI-driven transformation in academic libraries, particularly within developing and regional contexts.</p>

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Transforming academic library services and librarian roles to meet student expectations at Can Tho University’s library

  • 期刊论文

  • 发表日期：

    2026年2月22日

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  • Duyen Lam,
  • Uyen Huynh,
  • Trang Huynh,
  • Phuong Huynh

摘要

This study examines the transformation of academic library services through artificial intelligence (AI) integration at Can Tho University’s Library, with a focus on aligning AI-enabled services with student expectations. Drawing on survey data from 382 undergraduate students, the study analyzes patterns of AI usage, perceived benefits, concerns, and expectations for AI-supported research services, as well as the evolving role of academic librarians. The findings reveal high awareness and widespread use of AI tools for research-related activities, particularly literature searching, content summarization, and writing support. Students place strong value on AI’s ability to identify research trends and automate time-intensive tasks, while expressing ongoing concerns about information reliability and ethical implications. The results highlight the continued importance of librarians as intermediaries who guide responsible and effective AI use through technical expertise, information evaluation, and personalized research support. Based on these insights, the study proposes a phased approach to AI integration that emphasizes training, ethical considerations, and context-sensitive implementation. By providing empirical evidence from a Southeast Asian university, this research contributes to the broader discourse on AI-driven transformation in academic libraries, particularly within developing and regional contexts.