Sifa Septiano Nugroho
Universitas Negeri Yogyakarta

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Artificial Intelligence in Higher Education: Exploring Learning Practices, Cognitive Offloading, and Policy Directions for Responsible AI Governance Sifa Septiano Nugroho; Sugeng Bayu Wahyono
Edunesia : Jurnal Ilmiah Pendidikan Vol. 7 No. 3 (2026)
Publisher : Research, Training and Philanthropy Institution Natural Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51276/edu.v7i3.1852

Abstract

This study uses a qualitative case study to understand how artificial intelligence (AI) is used in learning at the State Polytechnic of Cybersecurity and Cryptography (Poltek SSN), why students use it, and what impacts arise from its use. Data were collected during the 2025/2026 academic year through observations, interviews, and document analysis. The study involved nine informants: five students, three lecturers, and one educational staff member. The data were analyzed thematically and examined through triangulation, member checking, peer debriefing, and an audit trail. The findings identified three main patterns of AI use: as a learning aid, as a substitute for students’ thinking processes, and as learning material. Students mainly used AI to understand learning materials, complete assignments, search for information, overcome limited study time and learning resources, and obtain quick responses. AI provided greater flexibility and efficiency in learning; however, excessive use may reduce students’ cognitive engagement, motivation, and understanding and raise concerns about academic integrity. Therefore, the study recommends strengthening AI literacy, developing clear guidelines for AI use, and integrating AI into learning and assessment while maintaining students’ responsibility for their thinking processes and learning outcomes.