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All Journal Servitia: Journal of Community Service and Engagement
Theresia Febriyanti Bekor
Universitas Wijaya Kusuma Surabaya
Humanities Education Social Sciences Transportation Other

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Perilaku Pencarian Informasi Mahasiswa dalam Ekosistem Digital Berbasis Kecerdasan Buatan Melalui Model Ellis Theresia Febriyanti Bekor; Daniel Pandapotan
Journal of Community Service and Engagement Vol 1 No 2 (2026): February: Servitia: Journal of Community Service and Engagement
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/spy8t590

Abstract

This study examines student information-seeking behavior within an artificial intelligence-based digital ecosystem using the Ellis model as an analytical framework. Employing a qualitative descriptive approach, data were collected through semi-structured interviews, observation of chat histories, and document analysis involving eight undergraduate students of Library Science. The findings reveal that students systematically adapt all eight stages of the Ellis model when interacting with generative AI, particularly ChatGPT, indicating a structured and reflective search process. The integration of AI enhances efficiency, accessibility, and cognitive support, especially in generating initial understanding and structuring academic tasks. However, the study identifies critical challenges related to information accuracy, including AI hallucination, which necessitates rigorous verification practices. Students demonstrate adaptive verification strategies, although their consistency varies depending on task urgency and academic stakes. The findings contribute to theoretical enrichment by contextualizing classical information behavior models within AI-driven environments. Practically, the study highlights the need for strengthening digital literacy competencies and institutional interventions to ensure ethical and critical AI use in academic contexts.
Co-Authors Daniel Pandapotan