Information literacy as a mechanism of epistemic negotiation in the utilization of artificial intelligence: A case study at the INSTIPER Yogyakarta Library
Main Article Content
Abstract
Purpose. This study aims to examine the role of information literacy as a mechanism of epistemic negotiation in the utilization of artificial intelligence (AI) within academic environments, with a case study conducted at the INSTIPER Yogyakarta Library.
Methodology. This study employed a qualitative descriptive method with a case study approach. Data were collected through semi-structured in-depth interviews with lecturers and students, as well as document analysis of academic policies and information literacy materials. Data were analyzed using descriptive thematic analysis through transcription, coding, theme categorization, and interpretation of meaning.
Results and discussion. The findings reveal that information literacy functions as a mechanism of epistemic negotiation that enables users to critically evaluate, verify, and interpret AI-generated information. Information literacy also guides the ethical use of AI while reducing excessive dependence, plagiarism, and technological misuse in academic activities. Furthermore, the INSTIPER Yogyakarta Library plays a strategic role as a policy mediator, facilitator of AI literacy, and promoter of a critical and responsible academic culture. These findings indicate that information literacy in the AI era extends beyond technical information retrieval skills toward a reflective capacity to assess the legitimacy, credibility, and validity of knowledge generated or mediated by AI.
Conclusions. Information literacy plays a crucial role in strengthening critical and responsible engagement with AI in academic environments. The findings provide a reference for university libraries in developing information literacy programs and AI usage policies oriented toward strengthening academic integrity, critical evaluation, and responsible knowledge practices.
Downloads
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in Daluang Journal of Library and information Science are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant Daluang Journal of Library and information Science right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in Daluang Journal of Library and information Science can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
This copyright notice applies to articles published in Daluang Journal of Library and information Science volumes 1 onwards.
References
Alkhatib, O. J., Khan, A. U., & Farnaz, S. (2025). AI and Academic Discourse: A Sociolinguistic Analysis of Language and Interaction. ACADEMIA International Journal for Social Sciences, 4(4), 6049–6061. https://doi.org/10.63056/ACAD.004.04.1436
Almryad, A. S., & Musa, H. (2025). The Role of Artificial Intelligence in Scientific Writing: A Higher Education Review. Academic Platform Journal of Engineering and Smart Systems, 13(3), 131–141. https://doi.org/10.21541/apjess.1676506
Association of College & Research Libraries (ACRL). (2025). AI Competencies for Academic Library Workers. Association of College & Research Libraries. https://www.ala.org/sites/default/files/2025-10/acrl_ai_competencies.pdf
Awalia, R. S., Nuhaa, A. F., Putbyhah, M. A., & Oktalis, O. (2025). Analisis Penggunaan DeepL Write AI Sebagai Teknologi Pendukung dalam Perbaikan Penulisan Bahasa Asing di Kalangan Mahasiswa. Jurnal Bima : Pusat Publikasi Ilmu Pendidikan Bahasa dan Sastra, 3(2), 73–88. https://doi.org/10.61132/bima.v3i2.1702
Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623. https://doi.org/10.1145/3442188.3445922
Chetwynd, E. (2024). Ethical Use of Artificial Intelligence for Scientific Writing: Current Trends. Journal of Human Lactation, 40(2), 211–215. https://doi.org/10.1177/08903344241235160
Chinn, C. A., Buckland, L. A., & Samarapungavan, A. (2011). Expanding the Dimensions of Epistemic Cognition: Arguments From Philosophy and Psychology. Educational Psychologist, 46(3), 141–167. https://doi.org/10.1080/00461520.2011.587722
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228–239. https://doi.org/10.1080/14703297.2023.2190148
Creswell, J. W., & Poth, C. N. (2018). Qualitative Inquiry and Research Design: Choosing Among Five Approaches (4th ed.). SAGE Publications.
Direktorat Pembelajaran dan Kemahasiswaan. (2024). Buku Panduan Penggunaan Generative AI pada Pembelajaran di Perguruan Tinggi (Pertama, Cetakan ke-1). Direktorat Jenderal Pendidikan Tinggi, Riset, dan Teknologi, Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi.
Frau-Meigs, D. (2024). User empowerment through Media and Information Literacy responses to the evolution of Generative Artificial Intelligence (GAI) (CI/FMD/MIL/2024/3). UNESCO.
Granjeiro, J. M., Cury, A. A. D. B., Cury, J. A., Bueno, M., Sousa-Neto, M. D., & Estrela, C. (2025). The Future of Scientific Writing: AI Tools, Benefits, and Ethical Implications. Brazilian Dental Journal, 36, e25-6471. https://doi.org/10.1590/0103-644020256471
Hendrawan, M. R., & Putra, P. (2022). Integrasi Manajemen Pengetahuan dan Literasi Informasi: Pendekatan Konsep dan Praktik (Cetakan Pertama). UB Press.
Hirvonen, N. (2024). Information literacy after the AI revolution. Journal of Information Literacy, 18(1). https://doi.org/10.11645/18.1.593
Holzinger, A., Plass, M., Kickmeier-Rust, M., Holzinger, K., Crişan, G. C., Pintea, C.-M., & Palade, V. (2019). Interactive machine learning: Experimental evidence for the human in the algorithmic loop: A case study on Ant Colony Optimization. Applied Intelligence, 49(7), 2401–2414. https://doi.org/10.1007/s10489-018-1361-5
Hu, H., Zhou, Q., & Hashim, H. (2025). Negotiating identity in the age of ChatGPT: Non-native English researchers’ experiences with AI-assisted academic writing. Humanities and Social Sciences Communications, 12(1), 965. https://doi.org/10.1057/s41599-025-05351-4
IFLA. (2020). IFLA Statement on Libraries and Artificial Intelligence (pp. 1–14). IFLA. hhttps://www.ifla.org/publications/node/93284
Itsnaini, W., Tzanisa, K., Madania, I., Rihhadatul, R., Yazid, M. A., & Sulistyani, A. (2025). Peran Literasi Digital Di Era Artificial Intellegence Terhadap Kualitas Pembelajaran Mahasiswa: Studi Pustaka. Pendas : Jurnal Ilmiah Pendidikan Dasar, 10(4), 324–339.
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Lie, K. Y., Fei, W. F., Ismail, K., Kee, C. P., & Yasin, Mohd. S. M. (2011). Literasi Kritikal Dalam Konteks Pendidikan Tinggi: Suara Dari Sebuah Bilik Darjah Di Malaysia. GEMA OnlineTM Journal of Language Studies, 11(2), 99–119.
Lim, J. S. (2026). Introduction to generative artificial intelligence tools for academic article writing. Science Editing, 13(1), 58–62. https://doi.org/10.6087/kcse.393
Lo, L. (2025). AI Literacy: A Guide for Academic Libraries. College & Research Libraries News, 86(3). https://doi.org/10.5860/crln.86.3.120
Lusiyanti, L., Apdillah, D., & Sari, K. (2025). Kecerdasan Buatan dalam Pendidikan: Meningkatkan Kualitas Pembelajaran dengan Teknologi. Dira Media Kreasindo.
Moleong, L. J. (2021). Metodologi Penelitian Kualitatif. PT Remaja Rosdakarya.
Salim, S., & Syahrum, S. (2012). Metodologi Penelitian Kualitatif. Citapustaka Media.
Sugiyono, S. (2022). Metode Penelitian Kualitatif untuk Penelitian yang Bersifat: Eksploratif, Enterpretif, Interaktif, dan Konstruktif. Penerbit Alfabeta.
UNESCO Jakarta. (2024). Indonesia: Laporan Penilaian Kesiapan (Readiness Assessment) Kecerdasan Artifisial (AI). UNESCO Jakarta.
Zhao, W. (2025). Enhancing Academic Writing Efficiency with ChatGPT: A Natural Language Processing Framework for Innovation, Opportunities, and Challenges. Journal of ICT Standardization. https://doi.org/10.13052/jicts2245-800X.1341

