Background

Generative AI has become a continuous source of change in our society. Inevitably, this has an enormous impact on teaching and learning, with adoption happening at a diverging pace. While some excitedly rush to embrace opportunities, others warn of threats and challenges related to unequal access, model hallucinations, biases in models, environmental cost, etc. In the rapidly evolving technological landscape, both innovative approaches and reflections on the state of affairs are needed to foster an adaptive, inclusive, and future-ready educational ecosystem. Generative AI has grown far beyond the traditional boundaries of computer and data sciences and has become relevant to all of our society. This is why an interdisciplinary and holistic approach towards developing AI literacy is crucial for sustainable education and learning. This is particularly so considering the broad spectrum of methodologies in education from formal sciences to humanities, from cognitive to physical, from coaching to self-directed learning.

Target Audience

This workshop invites educators, researchers, practitioners, and other stakeholders to reimagine traditional curricula across the disciplines by integrating AI-driven insights, sustainability principles, and digitalisation. The workshop will explore how generative AI can enhance smart learning environments and how comprehensive data analysis can inform effective curriculum development. Ongoing research is demonstrating the potential of human-centered, AI-enhanced smart learning environments that support hybrid learning scenarios by overcoming conventional limitations. Moreover current effort is being made to lay the groundwork for embedding data analysis and AI methodologies across diverse educational disciplines. When  considered in combination with potential risks, these directions can provide valuable insights into creating transformative educational experiences that not only leverage cutting-edge digital tools but also embed sustainability and ethical practices into curriculum design. Multidisciplinary research could reveal limitations of current approaches and propose improvements and alternatives. The workshop will provide a platform to share research findings, discuss innovative pedagogical frameworks, and explore interdisciplinary strategies that prepare students and learners for the demands of the 21st century.

Venue

The workshop is co-located with the AIED'2025 conference in Palermo, Italy. This is a half-day workshop to be scheduled in the period 22-26 July 2025.

Call for Papers

We invite submissions of papers that examine and expand upon innovative strategies for curriculum transformation at the intersection of AI, sustainability, and digitalisation. We welcome original research, case studies, conceptual frameworks, and best practice reports. Real-world research, such as in-the-wild studies, design-based research, and analysis of public data are of particular interest. Relevant topics include, but are not limited to:

  1. Innovative Pedagogical Frameworks

    Approaches that integrate AI-driven insights and data analytics into curriculum design to create adaptive and personalized learning environments.

  2. Sustainability and Digitalisation in Education

    Strategies for embedding sustainability principles and digital tools into curricula, ensuring that educational practices are both future-proof and environmentally responsible.

  3. Human-AI Collaboration

    Case studies and research on effective models for human-AI collaboration in the design and delivery of learning experiences, including insights from generative AI applications.

  4. Interdisciplinary Curriculum Integration

    Approaches for leveraging data analysis and AI across various academic disciplines, and particularly serving as a bridge between disciplines.

  5. Ethical and Societal Considerations

    Discussions on the ethical challenges and societal implications of integrating advanced digital technologies into educational settings, with a focus on inclusivity and equitable access.

Submission Guidelines

Contributions should present original research and clearly articulate both theoretical and practical dimensions of curriculum transformation, with an emphasis on real-world applications, challenges, and future directions. Authors are encouraged to discuss the implications for teaching, learning, and academic policy in a digitally transformed educational landscape.

Proceedings will be published with CEUR-WS, will be assigned an URN and indexed by SCOPUS, Web of Science, and other major indexes. Follow the two-column CEURART format, templates available at the CEUR-WS website.Submissions should be anonymized, as part of a double-blind review process. All submissions will be evaluated by at least two reviewers and feedback will be provided to each submission. Authors of accepted papers will be allocated slots to present their contributions.

    Submission link coming soon...

Paper formats

Full papers

10-12 pages

original research with detailed analysis and conclusive findings.

Short papers

6-9 pages

work in progress, early results feasibility studies or reproducibility studies.

Project and position papers

5 pages

new visions or initiatives, building on rigorous previous research.

Important Dates

5 May 2025

Submission deadline

26 May 2025

Acceptance notification

1 July 2025

Camera-ready submission

22-26 July 2025

Workshop

All dates are in the Anywhere-on-Earth time zone.

Join us in shaping the future of higher education by transforming curricula to meet the evolving demands of a digital, sustainable, and AI-enhanced world.

Organizers

  • Martin Ruskov, University of Milan, Italy
  • Dimitri Ognibene, University of Milan Bicocca, Italy, National Research Council - Institute of Cognitive Sciences and Technologies, Italy
  • Davinia Hernández-Leo, Pompeu Fabra University, Barcelona, Spain
  • Davide Taibi, National Research Council - Institute for Educational Technology, Italy
  • Yannis Dimitriadis, University of Valladolid, Spain
  • Giovanni Fulantelli, National Research Council - Institute for Educational Technology, Italy
  • Uwe Handmann, Hochschule Ruhr West, Germany
  • George K. Zarifis, Aristotle University of Thessaloniki, Greece
  • Yan Wu, Agency for Science, Technology and Research, Singapore
  • Paolo Maria Ferri, University of Milan Bicocca, Italy

Program Committee

  • Ishari Amarasinghe, Open University of Catalonia, Spain
  • Daniele Schicchi, ITD CNR, Italy
  • Marco Temperini, Sapienza University, Italy
  • Carla Limongelli, Roma Tre University, Italy
  • Gabriella Casalino, University of Bari, Italy
  • Marco Rondonotti, e-campus University, Italy
  • Raffaele Di Fuccio, Pegaso University, Italy
  • Alessandro Ciasullo, University Federico II of Naples, Italy
  • Giulia Sironi, University of Milan Bicocca, Italy
  • Emily Theophilou, Pompeu Fabra University, Spain
  • Cansu Koyuturk, University of Milan Bicocca, Italy
  • Lukas Erle, Hochschule Ruhr West University of Applied Sciences, Germany
  • Daniel Zilio, University of Padua, Italy
  • Albena Antonova, Sofia University, Bulgaria
  • Maria Perifanou, University of Macedonia, Greece
  • Ricardo Torres Kompen, Ramon Llull University, Spain
  • Nicola Orio, University of Padova, Italy