Framing and Evaluating Task-Centered Generative Artificial Intelligence Literacy for Higher Education Students

The rise in generative artificial intelligence (GenAI) demands new forms of literacy among higher education students. This paper introduces a novel task-centered generative artificial intelligence literacy framework, which was developed collaboratively with academic and administrative staff at a large research university in Israel. The framework identifies eight skills which are informed by the six cognitive domains of Bloom’s Taxonomy. Based on this framework, we developed a measuring tool for students’ GenAI literacy and surveyed 1667 students. Findings from the empirical phase show moderate GenAI use and medium–high literacy levels, with significant variations by gender, discipline, and age. Notably, 82% of students support formal GenAI instruction, favoring integration within curricula to prepare for broader digital society participation. The study offers actionable insights for educators and policymakers aiming to integrate GenAI into higher education responsibly and effectively.

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Publication Details

Journal
Systems
Published
2025-06-27
DOI
https://doi.org/10.3390/systems13070518
Citations
4
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
6.77
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article

Framing and Evaluating Task-Centered Generative Artificial Intelligence Literacy for Higher Education Students

Lilach Lurie, Yoram Reich, Arnon Hershkovitz, Michal Tabach et al.
4 citations
Systems
Online Learning and Analytics
6.77
article

Framing and Evaluating Task-Centered Generative Artificial Intelligence Literacy for Higher Education Students

Lilach Lurie, Yoram Reich, Arnon Hershkovitz, Michal Tabach, Tamar Cholcman
article en
4 citations

Abstract

The rise in generative artificial intelligence (GenAI) demands new forms of literacy among higher education students. This paper introduces a novel task-centered generative artificial intelligence literacy framework, which was developed collaboratively with academic and administrative staff at a large research university in Israel. The framework identifies eight skills which are informed by the six cognitive domains of Bloom’s Taxonomy. Based on this framework, we developed a measuring tool for students’ GenAI literacy and surveyed 1667 students. Findings from the empirical phase show moderate GenAI use and medium–high literacy levels, with significant variations by gender, discipline, and age. Notably, 82% of students support formal GenAI instruction, favoring integration within curricula to prepare for broader digital society participation. The study offers actionable insights for educators and policymakers aiming to integrate GenAI into higher education responsibly and effectively.

SystemsVol. 13(7)
Tel Aviv University (IL)
Openalex Percentile: Top 3%
Online Learning and Analytics
6.77
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Framing and Evaluating Task-Centered Generative Artificial Intelligence Literacy for Higher Education Students — Lilach Lurie, Yoram Reich, et al. · Systems (2025) | TGRS Research Map | TGRS