Autori
Martínez-Arboleda, Antonio
Deng, Yanyao
Abbas, Noorhan
Matias López, Karen Lizette
Mouhtaropoulos, Antonis
Abegglen, Sandra
Román Mendoza, Esperanza
Titilola Olojede, Helen
García-Peñalvo, Francisco José
de Blacquiere-Clarkson, Rich
Kayode Olakulehin, Felix

Titolo
The political economy impact of Generative AI on higher education
Periodico
Rivista di Digital Politics
Anno: 2025 - Fascicolo: 2/3 - Pagina iniziale: 267 - Pagina finale: 292

Generative Artificial Intelligence (GenAI) is reshaping knowledge production and education within Higher Education (HE). This study investigates how GenAI adoption in teaching and learning affects power dynamics between educators, students, and service providers. Grounded in platform capitalism and data colonialism, the research analyses 70 survey responses through descriptive statistics and thematic/comparative coding. The results identify three primary developments: (1) educator expertise is displaced by algorithmic mediation; (2) student learning is commodified as training data; (3) contractual and infrastructural dependencies bind universities to GenAI providers. These dynamics accelerate neoliberal marketisation and data rentiership, reinforcing systemic inequalities across stratified HE systems. The findings provide a framework for digital governance and offer specific recommendations, based on concrete political economy arguments, for communities, universities, and public interest actors seeking to navigate these technological shifts.



SICI: 2785-0072 (2025)2/3<267:TPEIOG>2.0.ZU;2-2
Testo completo: https://www.rivisteweb.it/download/article/10.53227/119806
Testo completo alternativo: https://www.rivisteweb.it/doi/10.53227/119806

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