Comparing Human and Artificial Scientific Images for Learning Enhancement

Politi, Flavia; Marlot, Jeanne; Dondero, Maria Giulia

Unpublished conference/Abstract (Scientific congresses and symposiums)

Politi, Flavia; Marlot, Jeanne; Dondero, Maria Giulia

2026 • Fourth International Conference of the journal of Scuola democratica "Learning for Democracy / Democracy for Learning"

Peer reviewed

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https://hdl.handle.net/2268/348617

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Keywords :

Scientific images; Visual learning; Text-to-Image Systems; Diagrammatic reasoning; Intersemiotic translation

Abstract :

[en] Presentation as part of the panel "B.04. Democratic Access to Scientific Knowledge through Graphic Reasoning and Visuo-Quantitative Literacy"

Disciplines :

Art & art history
Languages & linguistics
Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

Politi, Flavia ; Université de Liège - ULiège > Traverses

Marlot, Jeanne ; Université de Liège - ULiège > Traverses ; Université de Liège - ULiège > Département de langues et littératures romanes > Sémiotique visuelle

Dondero, Maria Giulia ; Université de Liège - ULiège > Traverses ; Université de Liège - ULiège > Département de langues et littératures romanes > Sémiotique visuelle

Language :

English

Title :

Comparing Human and Artificial Scientific Images for Learning Enhancement

Publication date :

01 September 2026

Event name :

Fourth International Conference of the journal of Scuola democratica "Learning for Democracy / Democracy for Learning"

Event place :

Rome, Italy

Event date :

Università "Sapienza"

Audience :

International

Peer review/Selection committee :

Peer reviewed

References of the abstract :

Scuola Democratica (2026). Book of Abstracts of the Fourth International Conference of the journal Scuola Democratica. Learning for Democracy / Democracy for Learning. Rome, Associazione «Per Scuola Democratica». ISBN 979-12-985016-1-4

Additional URL :

https://www.conftool.pro/scuolademocratica2026/sessions.php

Available on ORBi :

since 10 September 2026

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