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Coding and educational robotics with peers: The C0D1NC experience to foster inclusion

In the present paper, the experience of the C0D1NC project (Coding for inclusion) is described. In this project an innovative methodology based on peer-education is the core of the educational approach. High school students become “teachers” as they are trained to teach coding and robotics to younge...

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Autores principales: Ponticorvo, Michela, Rubinacci, Franco, Dell’Aquila, Elena, Marocco, Davide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523221/
https://www.ncbi.nlm.nih.gov/pubmed/36185975
http://dx.doi.org/10.3389/frobt.2022.825536
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author Ponticorvo, Michela
Rubinacci, Franco
Dell’Aquila, Elena
Marocco, Davide
author_facet Ponticorvo, Michela
Rubinacci, Franco
Dell’Aquila, Elena
Marocco, Davide
author_sort Ponticorvo, Michela
collection PubMed
description In the present paper, the experience of the C0D1NC project (Coding for inclusion) is described. In this project an innovative methodology based on peer-education is the core of the educational approach. High school students become “teachers” as they are trained to teach coding and robotics to younger students. This approach favors inclusion and digital inclusion. To affirm this, we evaluated different aspects: relations between peers, perceived self-efficacy, and attitude towards technology at the beginning of activities (pre-test) and the end (post-test). Results indicate that this approach can be effective to favor personal growth, improved relations between peers, and increased self-efficacy too.
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spelling pubmed-95232212022-10-01 Coding and educational robotics with peers: The C0D1NC experience to foster inclusion Ponticorvo, Michela Rubinacci, Franco Dell’Aquila, Elena Marocco, Davide Front Robot AI Robotics and AI In the present paper, the experience of the C0D1NC project (Coding for inclusion) is described. In this project an innovative methodology based on peer-education is the core of the educational approach. High school students become “teachers” as they are trained to teach coding and robotics to younger students. This approach favors inclusion and digital inclusion. To affirm this, we evaluated different aspects: relations between peers, perceived self-efficacy, and attitude towards technology at the beginning of activities (pre-test) and the end (post-test). Results indicate that this approach can be effective to favor personal growth, improved relations between peers, and increased self-efficacy too. Frontiers Media S.A. 2022-09-16 /pmc/articles/PMC9523221/ /pubmed/36185975 http://dx.doi.org/10.3389/frobt.2022.825536 Text en Copyright © 2022 Ponticorvo, Rubinacci, Dell’Aquila and Marocco. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Ponticorvo, Michela
Rubinacci, Franco
Dell’Aquila, Elena
Marocco, Davide
Coding and educational robotics with peers: The C0D1NC experience to foster inclusion
title Coding and educational robotics with peers: The C0D1NC experience to foster inclusion
title_full Coding and educational robotics with peers: The C0D1NC experience to foster inclusion
title_fullStr Coding and educational robotics with peers: The C0D1NC experience to foster inclusion
title_full_unstemmed Coding and educational robotics with peers: The C0D1NC experience to foster inclusion
title_short Coding and educational robotics with peers: The C0D1NC experience to foster inclusion
title_sort coding and educational robotics with peers: the c0d1nc experience to foster inclusion
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523221/
https://www.ncbi.nlm.nih.gov/pubmed/36185975
http://dx.doi.org/10.3389/frobt.2022.825536
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