Artificial Intelligence Literacy in the Distance Learning and Collaborative Networks Curricular Unit as an Innovation Proposal in the Master's Degree in Educational Digital Resources
DOI:
https://doi.org/10.25749/sis.45171Keywords:
artificial intelligence, AI literacy, intelligent systems competence, distance learning, curriculum innovationAbstract
Artificial Intelligence (AI) is reshaping educational ecosystems, requiring education professionals to develop new digital, ethical and pedagogical competencies. This article presents an applied case study analysing the explicit integration of AI literacy into the Distance Learning and Collaborative Networks course unit within the Master’s Degree in Digital Educational Resources. Framed by UNESCO’s AI Competency Frameworks, the study adopts a mixed-methods approach, combining analysis of curriculum documents procedures with a questionnaire administered to teachers and master’s students. The findings reveal a gap between the high value attributed to AI and its limited explicit presence in the curriculum. In response, the article proposes a curriculum innovation strategy structured in three phases—ethical awareness, pedagogical experimentation and reflective consolidation—aimed at strengthening teachers’ digital competencies in the era of AI.
Downloads
References
Assembleia da República Portuguesa. (2019). Lei n.º 58/2019, de 8 de agosto: Assegura a execução, na ordem jurídica nacional, do Regulamento (UE) 2016/679. Diário da República. https://diariodarepublica.pt/dr/detalhe/lei/58-2019-123815982
Assembleia da República Portuguesa. (2021). Lei n.º 27/2021, de 27 de maio – Carta Portuguesa de Direitos Humanos na Era Digital. Diário da República. https://diariodarepublica.pt/dr/detalhe/lei/27-2021-163442504
Biesta, G. J. J. (2010). Good education in an age of measurement: Ethics, politics, democracy. Paradigm Publishers.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589-597. https://doi.org/10.1080/2159676X.2019.1628806
Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Levy, Y., Lichocki, P., Zhang, Y., & Zhang, M. (2023). Sparks of artificial general intelligence: Early experiments with GPT‑4. arXiv preprint, arXiv:2303.12712. https://doi.org/10.48550/arXiv.2303.12712
Comissão Europeia. (2017). European framework for the digital competence of educators (DigCompEdu). Publications Office of the European Union. https://doi.org/10.2760/159770
Creswell, J. W., & Plano Clark, V. L. (2017). Designing and conducting mixed methods research. (3rd Edition). Sage Publications.
Goodson, I. F. (2001). The changing curriculum: Studies in social construction. Peter Lang.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
Instituto Politécnico de Santarém. (2025). Alteração do Código de Ética e de Conduta do Instituto Politécnico de Santarém. https://www.ipsantarem.pt/wp-content/uploads/2025/10/Alteracao-do-Codigo-de-Etica-e-de-Conduta-do-Instituto-Politecnico-de-Santarem.pdf
Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-16). https://doi.org/10.1145/3313831.3376727
Merriam, S. B., & Tisdell, E. J. (2016). Qualitative research: A guide to design and implementation. (4th Edition). Jossey-Bass.
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041
Portugal INCoDe.2030. (2017). Iniciativa Nacional para as Competências Digitais e.2030. https://www.incode2030.gov.pt/incode-2030/
Presidência do Conselho de Ministros. (2020). Resolução do Conselho de Ministros n.º 30/2020: Aprova o Plano de Ação para a Transição Digital. Diário da República, 1.ª série, n.º 78, 21 de abril de 2020. https://diariodarepublica.pt/dr/detalhe/resolucao-conselho-ministros/30-2020-132133788
Presidência do Conselho de Ministros. (2026). Resolução do Conselho de Ministros n.º 2/2026, de 8 de janeiro. Aprova a Agenda Nacional de Inteligência Artificial e o respetivo modelo de governação. Diário da República. https://diariodarepublica.pt/dr/detalhe/resolucao-conselho-ministros/2-2026-1000882016
Prinsloo, P. (2020). Of “black boxes” and algorithmic decision-making in (higher) education – A commentary. Big Data & Society, 7(2). https://doi.org/10.1177/2053951720933994
Prinsloo, P., & Slade, S. (2015). Student privacy self‑management: Implications for learning analytics. In G. Siemens, D. Gasevic, C. Haythornthwaite, S. Dawson & R. S. J. d. Baker (Eds.), Proceedings of the 5th International Conference on Learning Analytics and Knowledge (pp. 38-47). ACM. https://doi.org/10.1145/2723576.2723585
Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.
Sociedade Portuguesa de Ciências da Educação (SPCE). (2020). Carta Ética. SPCE. https://www.spce.org.pt/assets/files/CARTA-TICA2.EDICAOFINAL-2020-COMPACTADO.pdf
Stake, R. E. (2005). Qualitative case studies. In N. K. Denzin & Y. S. Lincoln (Eds.), The SAGE Handbook of Qualitative Research (3rd Edition, pp. 443-466). SAGE Publications.
Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. Springer. https://link.springer.com/book/10.1007/978-1-4419-8126-4
UNESCO. (2024a). Marco referencial de competências em IA para professores (MRCP‑IA). UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000394280
UNESCO. (2024b). Marco referencial de competências em IA para estudantes (MRCE‑IA). UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000394281
Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Harvard University Press.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Governneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16, Article 39. https://doi.org/10.1186/s41239-019-0171-0
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Sisyphus — Journal of Education

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright (c) belongs to Sisyphus - Journal of Education. However, we encourage issued articles to be published elsewhere, provided that Sisyphus authorization is asked for and that authors integrate our original source citation and a link to our website.
Author Self-Archiving Policy
Author(s) are permitted to self-archive the final published version in institutional or thematic repositories, and in their personal or institutional websites.
DORA Signer
The Instituto de Educação da Universidade de Lisboa, Sisyphus' Publisher, is a San Francisco Declaration on Research Assessment signer.



