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Teaching critical thinking with artificial intelligence: An information literacy training model at the Library of the Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada Mohammad Riqzazulmi; Fitri Mutia; Sukirno; Tachiyya Nailal Khusna
Daluang: Journal of Library and Information Science Vol. 6 No. 1 (2026)
Publisher : UPT Perpustakaan Universitas Islam Negeri Walisongo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/daluang.v6i1.2026.31418

Abstract

Purpose. This study investigates the integration of artificial intelligence (AI) into information literacy training in university libraries, focusing on how AI can foster critical thinking and ethical awareness among students and staff. Methods. The research employed a qualitative descriptive approach with data collected through interviews, observations, and documentation at the Faculty of Medicine, Public Health, and Nursing Library of Gadjah Mada University. Thematic analysis was used to identify patterns in participants' experiences and in librarians' roles as facilitators. Findings. The training model consisted of three main components: introducing AI concepts and ethical considerations, practicing the use of generative AI tools for literature searching, summarisation, and academic writing, and critically evaluating AI outputs. The training enhanced participants' ability to locate relevant sources, generate summaries, and support administrative tasks. It also highlighted challenges, including difficulties in formulating effective prompts and the need for librarians to upgrade their AI competencies continually. The findings show that AI-based literacy training not only improves technical proficiency but also nurtures reflective and critical engagement with digital tools. Implications. The study concludes that AI-driven information literacy programs in academic libraries can serve as an innovative model for strengthening users' critical thinking, ethical responsibility, and digital literacy. Sustained librarian capacity-building and continuous training are essential to maximize the long-term benefits of AI integration in academic information services.