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Flood and Typhoon Preparedness Education: Insights from Empirical Studies

This study focuses on learning from experience and the science of disasters to prepare for the future, with a specific emphasis on floods and typhoons. It presents an empirical investigation into the curriculum math modeling of floods and examines the relationship between curriculum components, teacher practices, and student activities for better knowledge acquisition. The study also explores the causality network of curriculum components and strands, providing valuable insights for predicting and improving performance. Mathematical modeling is utilized to select, adjust, and build concrete, computational, and abstract models for studying propagation in disaster scenarios.

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Flood and Typhoon Preparedness Education: Insights from Empirical Studies

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  1. Emergency Preparedness Education: Learning from Experience, Science of Disasters, and Preparing for the Future (II): Focus on Flood and Typhoon Roberto ArayaCIAE University of Chileroberto.araya.schulz@gmail.com

  2. Empirical Study of the CurriculumMath Modeling of Floods

  3. EmpiricalStudy of theCurriculum Curriculum + teacherpractices + studentsactivities knowledgecomponentsnetwork (515.823 exercisesmadeby 805 4th gradersfrom 23 courses)

  4. Empiricalstudy: number of excercises per month

  5. Empiricalstudy: # of exercises of eachcurriculumcomponent per month

  6. Empiricalstudy: causalitybetweencurriculumcomponents Topredict performance in a component c, whichhistorical performance k will be better?

  7. Empiricalstudy: causalitynetwork of components

  8. Empiricalstudy: causalitybetweenstrands

  9. Empiricalstudy

  10. Mathematical Modeling Use  Select  Adjust  Build Concrete  Computational  Abstract

  11. How to study propagation? Use simple models

  12. Model # 1

  13. Model # 1

  14. Model # 2

  15. Model # 2

  16. Model # 2 (another initial condition)

  17. Model # 2

  18. Model # 3

  19. Model # 3

  20. Model # 4

  21. Model # 4

  22. Select Adjust Build

  23. Thankyou roberto.araya.schulz@gmail.com

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