PRESENTATION DOSSIER ARTIFICIAL INTELLIGENCE AND EDUCATION 5.0

TRANSFORMATIONS IN TEACHING AND LEARNING

Visualizações: 479

Authors

Keywords:

Artificial Intelligence, Education 5.0, Transformations, Teaching, Learning

Abstract

We are living in the contemporary scenario a true springtime of Artificial Intelligence (AI). This is a period of flourishing, in which the convergence of scientific advances, technological maturity, and social demands generates a fertile ecosystem for experimentation, paradigm renewal, and the consolidation of innovative educational practices. Just like the season that announces the cyclical renewal of life, this AI spring symbolizes the possibility of reconstructing and re-signifying formative processes, incorporating emerging technologies without losing sight of the ethical, inclusive, and human foundations that support education as a public good and a fundamental right.

The dossier “Artificial Intelligence and Education 5.0: Transformations in Teaching and Learning” emerges from this context as a space for dialogue among different fields of knowledge (Computer Science, Information and Communication Technologies, Human and Applied Social Sciences, Linguistics, Language Studies, and Arts), recognizing that the transdisciplinary nature of AI requires multiple and complementary perspectives. Bringing together theoretical and empirical research and reflections, this collection problematizes not only the technical potential of AI to personalize teaching, analyze educational data in real time, or create immersive environments, but also the ethical, political, and epistemological implications of this integration.

Downloads

Download data is not yet available.

Author Biographies

Arthur Marques de Oliveira, Federal University of Rio Grande do Sul

Master in Language Studies (UFRGS), PhD student in Informatics in Education, PPGIE/UFRGS, and PhD student in Sociolinguistics at PPGLET/UFRGS. Faculty member of the technology courses at CESUCA University Center.

Rosa Maria Vicari, Federal University of Rio Grande do Sul

Member of the Brazilian Computer Society (SBC). She holds a degree in Data Processing Technology from the University of Vale do Rio dos Sinos (1980), a Master’s in Computer Science from the Federal University of Rio Grande do Sul (1985), a PhD in Electrical and Computer Engineering from the University of Coimbra (1990), and Postdoctoral studies in Cognitive Science at the University of Leeds, UK (1997), and at Université Joseph Fourier, Grenoble, France (2011). She is currently a Full Professor at the Federal University of Rio Grande do Sul, at the Institute of Informatics (INF/UFRGS), and has also been the coordinator of the UNESCO Chair in Communication and Information Technologies in Education since 2010. She has experience in the field of Computer Science, with an emphasis on Artificial Intelligence applied to Education, working mainly on the following topics: intelligent tutoring systems, multi-agent systems, and Logic for Computing.

Graziela Bergonsi Tussi, Federal University of Rio Grande do Sul

PhD Candidate in the Graduate Program in Informatics in Education/UFRGS. She is a Full Professor of Geography and Digital Culture in the municipal school system of Passo Fundo - RS. PhD Candidate in Informatics in Education at UFRGS, she holds a Master’s degree in Education from the University of Passo Fundo (UPF - RS), in the Research Line of Educational Processes and Language, and a Bachelor’s and Licentiate degree in Geography from the University of Passo Fundo (RS). She is also a Specialist in Media in Education from the Federal Institute of Southern Rio Grande (IFSul) and in School Management, Guidance, and Supervision from Faculdade São Luís, São Paulo. In addition, she holds an international certification from the Cervantes Institute, Spain, at the C1 (advanced) level in Spanish. She is a researcher in the Higher Education Studies and Research Group (GEPES-UPF) and in the Artificial Intelligence in Education Research Group (UFRGS). She has experience in Educational Practices with an emphasis on Digital Technologies, Teacher Education, Geography Teaching, Educational Informatics, Digital Culture, and Artificial Intelligence.

References

Não se aplica.

Published

2025-09-10

How to Cite

Oliveira, A. M. de, Vicari, R. M., & Tussi, G. B. (2025). PRESENTATION DOSSIER ARTIFICIAL INTELLIGENCE AND EDUCATION 5.0: TRANSFORMATIONS IN TEACHING AND LEARNING. Interdisciplinary Studies Journal, 7(5), 01–02. Retrieved from https://revistas.ceeinter.com.br/revistadeestudosinterdisciplinar/article/view/2587

Issue

Section

DOSSIER: ARTIFICIAL INTELLIGENCE AND EDUCATION 5.0 – TRANSFORMATIONS IN TEACHING AND LEARNING