This half-day workshop invites educators, researchers, practitioners, and other stakeholders to reimagine traditional curricula by integrating AI-driven insights, sustainability principles, and digitalisation. The rapidly evolving technological landscape around teaching and learning calls for innovative approaches to foster adaptive, inclusive, and future-ready learning experiences. The workshop will explore how generative AI can enhance smart learning environments and how comprehensive data analysis can inform effective curriculum development. Current efforts lay the groundwork for embedding data analysis and AI methodologies across diverse higher education disciplines. However, concerns have been raised about the unequal access to these technologies. 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. A non-exhaustive list of topics of interest is innovative pedagogical frameworks, sustainability and digitalisation in education, human-AI collaboration, ethical and societal considerations, and others. The workshop will provide a platform to share research findings, discuss innovative pedagogical frameworks, and explore interdisciplinary strategies that prepare students for the demands of the 21st century.

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D-SAIL - Transformative Curriculum Design: Digitalisation, Sustainability, and AI Literacy for 21st Century Learning

  • Martin Ruskov,
  • Dimitri Ognibene,
  • Davinia Hernández-Leo,
  • Davide Taibi,
  • Yannis Dimitriadis,
  • Giovanni Fulantelli,
  • Uwe Handmann,
  • George K. Zarifis,
  • Yan Wu,
  • Paolo Maria Ferri

摘要

This half-day workshop invites educators, researchers, practitioners, and other stakeholders to reimagine traditional curricula by integrating AI-driven insights, sustainability principles, and digitalisation. The rapidly evolving technological landscape around teaching and learning calls for innovative approaches to foster adaptive, inclusive, and future-ready learning experiences. The workshop will explore how generative AI can enhance smart learning environments and how comprehensive data analysis can inform effective curriculum development. Current efforts lay the groundwork for embedding data analysis and AI methodologies across diverse higher education disciplines. However, concerns have been raised about the unequal access to these technologies. 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. A non-exhaustive list of topics of interest is innovative pedagogical frameworks, sustainability and digitalisation in education, human-AI collaboration, ethical and societal considerations, and others. The workshop will provide a platform to share research findings, discuss innovative pedagogical frameworks, and explore interdisciplinary strategies that prepare students for the demands of the 21st century.