Michele Giuliano Fiorentino

Dr. Michele Giuliano Fiorentino

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Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 June 2019
Verified
Book Chapter
Closed access
PDF file
AMAntonella Montone
Antonella Montone
MFMichele Giuliano Fiorentino
Michele Giuliano Fiorentino
MMMaria Alessandra Mariotti
Maria Alessandra Mariotti

26 May 2025 in Education Sciences
Verified
Journal Article
Open access
PDF file
MFMichele Giuliano Fiorentino
Michele Giuliano Fiorentino
AMAntonella Montone
Antonella Montone
On the basis of the hypothesis that has emerged from recent research studies, this article discusses the new pedagogical training model for primary school pre-service teachers (PSTs), namely the Meta Discussion on a Pedagogical model (MDPm). The study was conducted with 400 PSTs enrolled in a primary education mathematics course. The MDPm is a collective discussion involving PSTs and their facilitator about the prior teaching experience based on a Mathematical Discussion (MD) model. In this article we try to give a more detailed definition of MDPm by analyzing different examples drawn from a collection of data gathered in the frame of different teacher training experiments. The results indicate that engaging PSTs in both a direct MD and a subsequent reflective meta-discussion leads to enhanced awareness of the teacher’s role and a more robust conceptualization of the MD model. These experiments aimed to help future teachers recognize the characteristics of their instructional actions within a pedagogical model, engaging them actively in their training, in and from practice. In this setting, PSTs assumed a dual role as both students and future teachers. The research has been conducted in a technological environment, which assumed a fundamental role in supporting the processes involved in the teaching experiment. The examples are analyzed through a specific lens aimed at identifying key elements supporting and refining the MDPm, with the aim of more precisely characterizing it.