The ARIA Framework: Supporting the Critical Integration of Generative Artificial Intelligence in Higher Education

Main Article Content

Sandrine Decamps
Axelle Zanichelli

Abstract

This article presents the ARIA framework, designed to support the critical integration of GenAI in higher education. ARIA combines four pillars (Acceptability, Responsibility, Collective Intelligence, Accessibility) with a methodological cycle (Analyze, Rethink, Integrate, Accompany). The pillars establish four conditions: understanding of tools, traceability of intellectual work, plurality of approaches, and equity of access. The cycle structures the process of collective appropriation. Tested in Belgium and Morocco between January and April 2025, the framework served as a shared vocabulary for naming experienced tensions and organizing reflection within teams. The article presents the architecture of ARIA, illustrates its implementation, and discusses the conditions for its appropriation.

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How to Cite
Decamps, S., & Zanichelli, A. (2026). The ARIA Framework: Supporting the Critical Integration of Generative Artificial Intelligence in Higher Education. Mediations and Mediatizations, (25). https://doi.org/10.52358/mm.vi25.533
Section
Practitioners' articles
Author Biographies

Sandrine Decamps, Haute Ecole Louvain en Hainaut - Université catholique de Louvain

Sandrine Decamps, HELHa – UCLouvain

Sandrine Decamps is an educational advisor and learning technologist at the Haute École Louvain en Hainaut (HELHa), where she leads the Pedagogical Support Unit. She also teaches at the Université catholique de Louvain. Her work focuses on supporting teaching staff, fostering pedagogical innovation, and developing digital competencies in higher education.

She designs and facilitates professional development programs on the pedagogical uses of digital technologies, hybrid and online learning, and the ethical and educational challenges associated with artificial intelligence. Her research and professional activities particularly explore the evolving relationship between learning, assessment, and student agency in contexts shaped by automation and the co-construction of knowledge with generative AI systems.

Axelle Zanichelli, Institut Supérieur de Formation Sociale et de Communication

Axelle Zanichelli est psychopédagogue à l’Institut Supérieur de Formation Sociale et de Communication (ISFSC). Elle a précédemment exercé comme conseillère (techno) pédagogique et maître-assistante psychopédagogue à la Haute École Louvain en Hainaut (HELHa). Ses activités se concentrent sur l’accompagnement des équipes enseignantes, l’innovation pédagogique et l'ingénierie de formation dans l'enseignement supérieur. Spécialisée dans l’intégration des outils numériques, elle détient un certificat de référente IA en éducation et s'investit dans la sensibilisation aux enjeux stratégiques de la transformation numérique.

Ses recherches actuelles portent sur les perceptions et usages de l’intelligence artificielle générative par les étudiants, les inégalités d’adoption technologique ainsi qu'aux effets de l’automatisation des savoirs sur l’identité professionnelle enseignante.

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