Work Groups

Proposals may fall under one of the following working groups:

WG 1: Interdisciplinary Projects and Practices in Science Education

  • Integration of several STEM disciplines into inquiry-based, design, or problem-solving approaches.
  • Multiple Intelligences: Interdisciplinary Projects and Practices.
  • Cross-curricular teaching methods, learning, co-teaching, and a complex competency-based approach.
  • STEM + Arts, Humanities, or Education for Sustainable Development.

WG 2: Artificial Intelligence as a Teaching Tool or Subject

  • Pedagogical uses of AI in STEM disciplines: simulators, intelligent tutors, chatbots, etc.
  • Teaching AI in an interdisciplinary way: data, algorithms, modeling.
  • Generative AI and new forms of experiential learning.

WG 3: Development of transversal skills and multiple intelligences

  • Scientific reasoning, critical thinking, collaborative problem-solving.
  • Emotional intelligence and cooperation in scientific projects.
  • Integrated approaches to developing digital and scientific literature.
WG 4: Analysis of the socio-psychological impact of technological innovations on vulnerable populations, professionals, and institutions
  • Training models integrating AI and interdisciplinarity.
  • Institutional challenges, curricular innovations, hybrid formats.
  • Supporting change in teaching practices.

WG 5: Interdisciplinary research and the ethics of intelligence in education

  • Mixed methodologies for studying interdisciplinarity and AI in education.
  • Ethical issues, algorithmic biases, educational responsibility in the face of AI.
  • Reflections on scientificity, explanation, and truth in a digital context.
 
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