Advanced digital literacy: Analysis of student readiness in facing generative AI

Authors

DOI:

https://doi.org/10.55942/pssj.v6i1.1223

Keywords:

advanced digital literacy, generative AI, students, digital competence, technology readiness

Abstract

The development of artificial intelligence technology, particularly generative artificial intelligence (generative AI), has brought about significant changes, especially in higher education. This condition requires students not only to understand the use of basic digital tools but also to master advanced digital literacy, which includes evaluative, strategic, and adaptive abilities in response to technological automation. This study aims to explore students’ readiness to master advanced digital literacy and identify the factors influencing it. This study employed a qualitative approach, with data collected through in-depth interviews, observations, and document analysis involving students in the Civic Education Study Program at Halu Oleo University. The findings show that students demonstrate high readiness to utilize AI for academic needs and technological adaptation. However, this readiness is not balanced with adequate information validation abilities, understanding AI mechanisms, and awareness of digital ethics. These findings align with advanced digital literacy theories that emphasize the evaluative, ethical, and critical aspects of modern technology use. The tables included in this study reinforce the pattern that students’ readiness tends to be stronger in operational aspects but weaker in reflective and evaluative ones. This study contributes to the development of a more adaptive advanced digital literacy learning model in higher education for the generative AI ecosystem.

Author Biographies

Indrawati Syamsuddin, Universitas Halu Oleo

Indrawati Syamsuddin is a lecturer at Universitas Halu Oleo (Kendari, Indonesia). Her scholarly profile indicates active work in education-related areas, with publications indexed in academic platforms and a verified institutional affiliation.

Verawati Verawati , Institut Teknologi dan Bisnis Bina Adinata

Verawati is affiliated with Institut Teknologi dan Bisnis Bina Adinata (Bulukumba, South Sulawesi, Indonesia), an institution that hosts and manages multiple academic journals through its research unit (LPPM). Her role in the study aligns with field-based academic activities and institutional engagement.

Ilhamurrahman M Hubaib, Universitas Halu Oleo

Ilhamurrahman M. Hubaib is an academic at Universitas Halu Oleo with a verified scholarly profile and disciplinary affiliation in education (Pendidikan Ekonomi). His academic footprint is also listed in national research indexing systems, indicating engagement in education and research dissemination.

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Published

2026-01-13

How to Cite

Syamsuddin, I., Verawati , V. ., & Hubaib, I. M. (2026). Advanced digital literacy: Analysis of student readiness in facing generative AI. Priviet Social Sciences Journal, 6(1), 312–320. https://doi.org/10.55942/pssj.v6i1.1223
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