The potential of artificial intelligence-related technologies in university teaching: a case study from the University of Florence

Name: The potential of artificial intelligence-related technologies in university teaching: a case study from the University of Florence
Brand: Vita e Pensiero
Price: 6.00 EUR
Availability: OnlineOnly

digital

Articolo

Rivista

STUDI DI SOCIOLOGIA

Fascicolo

STUDI DI SOCIOLOGIA - 2025 - 1. 60 anni di Studi di Sociologia. Persona, Società, Futuro. La nuova frontiera della conoscenza: le sfide dell’intelligenza artificiale

Titolo

The potential of artificial intelligence-related technologies in university teaching: a case study from the University of Florence

Autori

Sara De Martino, Agnese Desideri, Alessandro Latterini

Editore

Vita e Pensiero

Formato

Articolo |

Pdf

Pagine

Online da

02-2025

Doi

10.26350/000309_000213

Issn

0039-291X (stampa) | 1827-7896 (digitale)

€ 6,00

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Descrizione

This paper aims to explore AIED tools (Artificial Intelligence Technologies in Education) use and perception in academia context. Forty-three semi-structured interviews have been conducted with professors at the University of Florence from different scientific fields. Three dimensions of analysis have been identified: i) the digitalization paths during and after the Covid-19 pandemic; ii) the opportunities, limits and risks of introducing AI tools in teaching and learning practices; iii) the institutional support and future solutions. Results show that AI tools application to teaching practices are still nascent at the University of Florence. A small number of professors interviewed use AI tools in their didactics. A slight difference exists among the diverse scientific fields. Hence, professors who are more favorable in introducing these tools in didactics, especially with experienced students, are those belonging to STEM areas (Science, Technology, Engineering and Mathematics). The paper highlights that crucial institutional issues need to be considered before a more substantial use of AI tools by both professors and students.

keywords

Artificial Intelligence in higher education, Teaching and Learning, Risks, Opportunities

Biografia degli autori

Sara De Martino, University of Florence of Department of Political and Social Sciences. Email: sara.demartino@unifi.it.
Agnese Desideri, University of Florence of Department of Political and Social Sciences. Email:agnese.desideri@unifi.it.
Alessandro Latterini, University of Florence of Department of Political and Social Sciences. Email: alessandro.latterini@unifi.it.