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EduMath: una sperimentazione didattica di gioco di ruolo immersivo (Edu-larp) per l’apprendimento della matematica

Authors: Andrea Traverso; Samantha Armani; Elisabetta Robotti; Francesca Morselli;

EduMath: una sperimentazione didattica di gioco di ruolo immersivo (Edu-larp) per l’apprendimento della matematica

Abstract

L'articolo presenta la sperimentazione didattica realizzata all’interno del progetto "Mathematics Edu-larp", progetto europeo Erasmus+ KA201 terminato nel 2022 (Capofila del progetto: Università Tecnica di Ostrava, Czech Republic e partners: Università di Genova, Italia e l'Università di Cantabria, Spagna). In particolare , si farà riferimento alle attività svolte dall’unità locale italiana. Il progetto "Mathematics Edularp" sfrutta le potenzialità di un Edu-larp per promuovere l'apprendimento di competenze mate- matiche e indagare le sue potenzialità come risorsa per l'insegn amento della matematica e delle disci- p line STEM. In senso più ampio, il progetto esplora nuovi approcci all'insegnamento della matematica e a promuovere la cooperazione tra le comunità scien- tifiche (matematica, educativa e didattica). Il pro- getto è stato realizzato nelle scuole secondarie di I I grado, con particolare attenzione agli istituti tecnici.

Country
Italy
Related Organizations
Keywords

Edu-larp; creatività; partecipazione; matematica; didattica

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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