Digital Deja Vus: An investigation into how AI image generators s(t)imulate historical thinking

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Authors: Heinrich Ammerer
Cited by: 0

Abstract

This exploratory study investigates the capacity of AI image generators to produce historically coherent visualisations, and evaluates their didactic potential. A total of 1,024 images generated in 2024 from five leading models were analysed using a standardised visual content analysis tool across four dimensions: historical significance, epochal authenticity, comparative lifeworld depiction and archetypal representation. The findings indicate that, while the output adequately depicts epochal atmospheres, it lacks concrete historical referents and exhibits poor independent historical judgement. Archetypal hero motifs predominantly emerged in medieval and classical guises, thereby reinforcing Western iconography. Only one model produced largely recognisable events and comprehensible comparisons through automated prompt augmentation, despite still reproducing biased historical narratives and stereotypes. The results highlight the potential of AI image generators to confront students with various conceptual problems, biases, and anachronisms that can be discussed in class to encourage historical thinking. The study calls for didactic frameworks that integrate AI-generated images into structured historical enquiry to promote source criticism and reflective prompt design.

Fields of Study & Subjects

Educator Training and Historical Pedagogy Artificial Intelligence in Education Digital Humanities and Scholarship

Publication details

Journal / source
OSF Preprints (OSF Preprints)
Publication date
1 January 2026
Document type
Preprint