Assessing AI Literacy at University Entry: A Mixed-Item Diagnostic Instrument

This poster introduces a four-dimensional mixed-item AI literacy diagnostic instrument combining self-report and performance-based measures to assess calibration between perceived and demonstrated competence at university entry (N = 106). The results identify dimension-specific perception–performance gaps and provide a foundation for AI-integrated curriculum design within the KoVEKI project.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-13
DOI
https://doi.org/10.5281/zenodo.19483987
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
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article

Assessing AI Literacy at University Entry: A Mixed-Item Diagnostic Instrument

Ivan Iovine
Zenodo (CERN European Organization for Nuclear Research)
Teaching and Learning Programming
article

Assessing AI Literacy at University Entry: A Mixed-Item Diagnostic Instrument

Ivan Iovine
article en

Abstract

This poster introduces a four-dimensional mixed-item AI literacy diagnostic instrument combining self-report and performance-based measures to assess calibration between perceived and demonstrated competence at university entry (N = 106). The results identify dimension-specific perception–performance gaps and provide a foundation for AI-integrated curriculum design within the KoVEKI project.

Zenodo (CERN European Organization for Nuclear Research)
University of Applied Sciences Potsdam (DE)
Quality Education
Openalex Percentile: Top 15%
Teaching and Learning Programming
DOIOpen Access PDFOpenAlex
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Assessing AI Literacy at University Entry: A Mixed-Item Diagnostic Instrument — Ivan Iovine · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS