Media education in the Postdigital era: how to incorporate data literacy, media literacy, AI Literacy and/or mul-ti-literacies into theoretical frameworks?
Parole chiave:
data literacy, media education, multi-literacies, Personal Data Literacy Framework, postdigital era.Abstract
This contribution builds on boyd and Crawford's (2012) example of the need to integrate data literacy into media literacy. Taking the media literacy movement as a point of reference, an investigation is proposed into the possibilities of analyzing media productions generated by intelligent agents in the postdigital era through the adaptation of media literacy approaches, integrated with a data literacy framework. The aim is to examine whether it is appropriate to take into account dimensions that data literacy-oriented frameworks do not seem to focus on, such as critical use and responsible media production. The study considers the analysis of media production and communication, no longer generated only by humans, but also by AI applications for automated media production. The paper proposes operational solutions for fostering critical and informed digital citizenship in an age increasingly shaped by algorithms and AI.
Riferimenti bibliografici
Andersen, C.U., Cox, G., & Papadopoulos, G. (2014). Editorial: Postdigital research. A Peer-Reviewed Journal About, 3(1), 4-7. https://doi.org/10.7146/aprja.v3i1.116067
Bayne, S., & Jandrić, P. (2017). From anthropocentric humanism to critical posthumanism in digital edu-cation. Knowledge Cultures, 5(2), 197-216. https://doi.org/10.22381/KC52201712
Baskara, F. R. (2025). Conceptualizing Digital Literacy for the AI Era: A Framework for Preparing Students in an AI-Driven World. Data and Metadata, 4, 530. https://doi.org/10.56294/dm2025530
boyd, d. and Crawford, K. (2012). Critical Question for Big Data: Provocations for a Cultural, Technological and Scholarly Phenomenon. Information, Communication, Society, 15(5), 662-679. https://doi.org/10.1080/1369118X.2012.678878
Buckingham, D. (2019). The Media Education Manifesto. New York: John Wiley and Sons Ltd.
Buckingham, D. (2007). Media education goes digital: an introduction. Learning. Media and Technology, 32(2), 111-119. https://doi.org/10.1080/17439880701343006
Carmi, E., Yates, S. J., Lockley, E. & Pawluczuk, A. (2020). Data citizenship: rethinking data literacy in the age of disinformation, misinformation, and malinformation. Internet Policy Review, 9(2). https://doi.org/10.14763/2020.2.1481
Cope, B. & Kalantzis, M. (1999). Multiliteracies: Literacy Learning and the Design of Social Futures 1st Edition. London: Psychology Press.
Cuomo, S., Biagini, G. & Ranieri, M. (2022). Artificial Intelligence Literacy, che cos’è e come promuoverla. Dall’analisi della letteratura ad una proposta di framework. Media Education, 13(2), 161-172. http://dx.doi.org/10.36253/me-13374
D'Ignazio, C. & Bhargava, R. (2015). Approaches to Building Big Data Literacy. In Bloomberg Data for Good Exchange. USA: New York.
Eugeni, R. (2020). La condizione postmediale. Brescia Scholè.
Eugeni, R. (2021). Capitale algoritmico. Cinque dispositivi postmediali (più uno). Brescia: Scholè.
Esposito, E. (2022). Artificial Communication: How Algorithms Produce Social Intelligence. USA: The MIT Press.
Jandrić, P., Knox, J., Besley, T., Ryberg, T., Suoranta, J., & Hayes, S. (2018). Postdigital science and edu-cation. Educational Philosophy and Theory, 50(10), 893-899. https://doi.org/10.1080/00131857.2018.1454000
Kaplan, J. (2018). Artificial Intelligence. A guide to the near future. Rome: LUISS University Press.
Knox, J. (2019). What Does the ‘Postdigital’ Mean for Education? Three Critical Perspectives on the Digital, with Implications for Educational Research and Practice. Postdigital Science and Education, 1, 357-370. https://doi.org/10.1007/s42438-019-00045-y
Long, D. & Magerko, B. (2020). What is AI Literacy? Competencies and Design Considerations. In Pro-ceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery (pp. 1-16.) New York: Association for Computing Machinery. https://doi.org/10.1145/3313831.3376727
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W. and Qiao, M. S. (2021). Conceptualizing AI literacy: An ex-ploratory review. Computer and Education: Artificial Intelligence, 2. https://doi.org/10.1016/j.caeai.2021.100041
Panciroli, C. & Rivoltella, P. C. (2023). Pedagogia Algoritmica. Per una riflessione educativa sull'Intelli-genza Artificiale. Brescia: Scholé.
Pangrazio, L. & Selwyn, N. (2019). Personal Data Literacies: A Critical Literacies Approach to Enhancing Understanding of Personal Digital Data. New Media-Society, 21(2), 419-437. https://doi.org/10.1177/1461444818799523
Pangrazio, L. (2016). Reconceptualising critical digital literacy. Discourse. 37(2): 163-174. http://dx.doi.org/10.1080/01596306.2014.942836
Potter, J., & McDougall, J. (2017). Digital media, culture and education. Theorising third space literacies. London: Palgrave Macmillian.
Raffaghelli, J. (2019). Developing a Framework for Educators’ Data Literacy in the European context: Proposal, Implications and Debate. Proceedings of the 11th International Conference on Education and New Learning Technologies, Palma de Majorca, Spain, 1-3 July 2019, pp. 10520-10530. http://dx.doi.org/10.21125/edulearn.2019.2655
Ranieri, M., Cuomo, S., & Biagini, G. (2023). Scuola e intelligenza artificiale. Percorsi di alfabetizzazione critica. Roma: Carocci.
Rivoltella, P. C. (2020). Nuovi Alfabeti. Educazione e culture nella società post-mediale. Brescia: Scholé.
Rivoltella, P. C. (2001). Media Education. Modelli, esperienze, profilo disciplinare. Roma: Carocci.
Špiranec, S., Kos, D. and George, M. (2019). Searching for critical dimensions in data literacy. In Pro-ceedings of CoLIS, the Tenth International Conference on Conceptions of Library and Information Science (pp. 16-19) Ljubljana, Slovenia.
UNESCO (2024). AI competency framework for students. Paris: Unesco Publishing.
Vuorikari, R., Kluzer, S., & Punie, Y. (2022). DigComp 2.2, the digital competence framework for citizens: with new examples of knowledge, skills and attitudes. European Commission, Joint Research Centre.
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Copyright (c) 2025 Andrea Garavaglia, Livia Petti
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