About

SPECIAL ISSUE: CALL FOR PAPERS

Framing the postdigital childhood

From families practises and knowledge to the educational response

Editors - Juliana E. Raffaghelli, Emilia Restiglian, Marco Scarcelli
Department of Philosophy, Sociology, Pedagogy and Applied Psychology, University of Padua.  Contact: juliana.raffaghelli, emilia.restiglian, marco.scarcelli [at]unipd.it
 
Large datasets formed upon the children’s exposure to social media, AI-powered toys and interfaces embed bias and injustice (Barassi, 2020). The data captured from toddlers overexposure to videos watched on social media platforms, later monetized in the commercial recommendations made to parents; images extracted because of the practices of sharenting, later modified through AI tools; or acts of cyberbullying on adolescents using pictures from their infancy, are just some of the unpredictable ways into which the postdigital life of children becomes risk and harm on them (Pangrazio & Sefton-Green, 2020). Childhood is nowadays being a subject of bio-codification, including genomics, neural and cognitive predictions blended with computational big data studies (Lupton & Williamson, 2017). Therefore, children’s rights to their identity and to a safe place to grow up are being violated (Rivera-Vargas et al., 2023)... read more....

 

IMPORTANT DATES

 Abstracts submission until September 10, 2024
 Final papers submission until December 22, 2024
 Papers Review – from 1 january 2025-30 april 2025 (including two rounds)
 Papers final version within May 30, 2025
 Issue publication : June 2025

 
For further details visit our Call for Papers Section, our Press Release or download the Call as a PDF
 

Media Education aims to increase knowledge and understanding of ways in which digital technology can enhance education, through the publication of high-quality research, which extends theory and practice. The Editors welcome research papers on the pedagogical uses of digital technology, where the focus is broad enough to be of interest to a wider education community.  It is open to established and emerging scholars, media professionals, teachers and educators. The journal adopts a double-blind peer review process to foster a multidisciplinary and intellectually rigorous debate on both the theory and practice of interactive media in education.

Editors in Chief
Gianna Cappello, University of Palermo, Italy
Maria Ranieri, University of Florence, Italy

Media Education is indexed in:
     
 
ISSN (print): 2038-3002 
ISSN (online): 2038-3010 

Current IssueVol 17, No 1 (2026): MEDIA EDUCATION – Studi, ricerche e buone pratiche

Published May 30, 2026

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Table of Contents

Editorial

Editoriale
Gianna Cappello, Maria Ranieri
3-5
DOI: https://doi.org/10.36253/me-20811

Articles

When stories go digital: Designing children’s reading for pleasure in digital storybooks
Andrea Nardi
7-27
DOI: https://doi.org/10.36253/me-19514
Who gets to teach the past? Colonial narratives, pedagogical authority, and platformized vernacular memories
Micol Meghnagi, Camilla Folena
29-41
DOI: https://doi.org/10.36253/me-19897
Lettura dialogica e lettura digitale nei servizi 0-6: conoscenze, disposizioni e percezioni degli educatori e degli insegnanti della scuola dell’infanzia
Giulia Fiorentini, Daniela Paoletti, Benedetta Ragni, Martina Maiolatesi, Simona De Stasio
45-53
DOI: https://doi.org/10.36253/me-19659
Oltre la rappresentazione: la griglia Q.U.A.K.E. per l’analisi queer-intersezionale dei videogiochi
Marika Mascitti, Salvatore Messina, Alessandro Soriani
55-66
DOI: https://doi.org/10.36253/me-19994
Spectatorship, bodies and digital hate: observing online hate speech and its implications for media education
Enrica Sgobba, Anna Fausta Scardigno
67-81
DOI: https://doi.org/10.36253/me-19844
Enhancing AI literacy in education: A multi-country pre-post quasi-experimental evaluation study
Maria Ranieri, Gabriele Biagini, Stefano Cuomo, Josephine Christman
83-93
DOI: https://doi.org/10.36253/me-20214
Synthetic lovers: A framework for understanding artificial intimacy
Davide Bennato
95-111
DOI: https://doi.org/10.36253/me-19988

Best practices

Generative AI in the classroom: A TPACK‑based instructional pathway in behavioral economics
Stefania Badiglio, Luciano Seta
113-125
DOI: https://doi.org/10.36253/me-19935
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