GLAT - The Generative AI Literacy Assessment Test.

GLAT

What it measures

Objective / performance-based generative-AI literacy (a single latent factor); knowledge + judgement spanning understanding, applying, detecting, ethics, and evaluation of generative AI

Length and format

20 (selected from a 25-item candidate pool; 5 dropped). 4-option multiple-choice ability; binary scored (1 = correct); 2PL IRT (performance/ability test)

Language versions

English only officially (authors flag multilingual adaptation as future work). Local-only draft translations (SR-Latin, HR, BS, NL, FR, ES, PT) exist in the AI-Literacy-Measurement project - draft, not validated.

Normative data

No normative data held in our reference library for this instrument. That is a statement about our library, not about the published literature.

Licence

open with attribution

Licence classification is a research judgement by the catalogue’s authors, not legal advice, and it can be out of date. Confirm terms with the copyright holder or publisher before using an instrument, especially for commercial use.

Reference

Jin, Y., Martinez-Maldonado, R., Gasevic, D., & Yan, L. (2025). GLAT: The generative AI literacy assessment test. Computers and Education: Artificial Intelligence, 9, 100436. https://doi.org/10.1016/j.caeai.2025.100436

https://doi.org/10.1016/j.caeai.2025.100436