Exploring AI in Socio-Educational Practices: A Three- Dimensional Approach through Capabilities, Affordance- in-Practice and Sentiment
Abstract
Data di Pubblicazione:
2025
Abstract:
The TEACH-AI (Transformative Educational Approaches for Civic and Human-
centered AI) research project, conducted by the CREDDI research group at eCampus
University, aims to explore the perception, knowledge and use of Generative AI in
Italian socio-educational services, aligning with a growing body of research on the
relationship between AI and the socio-pedagogical sector.To initiate the research, the PAIR (Participatory AI for Inclusive Relationships)
questionnaire was developed and validated, with the goal of investigating training
needs within socio-educational contexts. The validation process involved an initial
content evaluation by 15 academic experts and Third Sector professionals and then
online administration to a sample of about 300 workers from 20 social cooperatives
distributed across different geographical areas in Italy.
The tool allows to detect three key dimensions useful for developing the analysis
and measuring the impact of AI in socio-educational contexts: Capability, which refers to the competence in using AI in both personal and professional experience;
Affordance-in-Practice, which analyzes the frequency of AI application in the work
context; and Sentiment, which records positive or negative emotions towards AI, from a socio-cultural perspective.
centered AI) research project, conducted by the CREDDI research group at eCampus
University, aims to explore the perception, knowledge and use of Generative AI in
Italian socio-educational services, aligning with a growing body of research on the
relationship between AI and the socio-pedagogical sector.To initiate the research, the PAIR (Participatory AI for Inclusive Relationships)
questionnaire was developed and validated, with the goal of investigating training
needs within socio-educational contexts. The validation process involved an initial
content evaluation by 15 academic experts and Third Sector professionals and then
online administration to a sample of about 300 workers from 20 social cooperatives
distributed across different geographical areas in Italy.
The tool allows to detect three key dimensions useful for developing the analysis
and measuring the impact of AI in socio-educational contexts: Capability, which refers to the competence in using AI in both personal and professional experience;
Affordance-in-Practice, which analyzes the frequency of AI application in the work
context; and Sentiment, which records positive or negative emotions towards AI, from a socio-cultural perspective.
Tipologia CRIS:
4.2 Abstract in Atti di convegno
Keywords:
Artificial Intelligence, Affordance-in-Practice, AI, GenAI, Socio-Educational
Elenco autori:
Adamoli, Matteo; Marangi, Michele
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Titolo del libro:
Book of Abstracts