Empirical Study of the Curriculum Math Modeling of Floods

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Emergency Preparedness Emergency Preparedness Education: Learning from Education: Learning from Experience, Science of Experience, Science of Disasters, and Preparing Disasters, and Preparing for the Future (II): Focus for the Future (II): Focus on Flood and Typhoon on Flood and Typhoon Roberto Araya Roberto Araya CIAE CIAE University of Chile University of Chile [email protected]

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Emergency Preparedness Education: Learning from Experience, Science of Disasters, and Preparing for the Future (II): Focus on Flood and Typhoon Roberto Araya CIAE University of Chile [email protected]. Empirical Study of the Curriculum Math Modeling of Floods. - PowerPoint PPT Presentation

Transcript of Empirical Study of the Curriculum Math Modeling of Floods

Page 1: Empirical Study of the Curriculum Math Modeling of Floods

Emergency Preparedness Emergency Preparedness Education: Learning from Education: Learning from

Experience, Science of Experience, Science of Disasters, and Preparing for Disasters, and Preparing for

the Future (II): Focus on the Future (II): Focus on Flood and Typhoon Flood and Typhoon

Roberto ArayaRoberto Araya

CIAE CIAE University of ChileUniversity of Chile

[email protected]

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Empirical Study of the Empirical Study of the CurriculumCurriculum

Math Modeling of FloodsMath Modeling of Floods

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Empirical Study of the Empirical Study of the CurriculumCurriculum

Curriculum + teacher practices + students activities Curriculum + teacher practices + students activities knowledge knowledge components networkcomponents network

(515.823 exercises made by 805 4th graders from 23 courses)

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Empirical study: Empirical study: number of excercises per monthnumber of excercises per month

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Empirical study: Empirical study: # of exercises of each curriculum component per # of exercises of each curriculum component per

month month

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Empirical study: Empirical study: causality between curriculum componentscausality between curriculum components

To predict performance in a component c, which historical performance k will be To predict performance in a component c, which historical performance k will be better? better?

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Empirical study: Empirical study: causality network of components causality network of components

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Empirical study: Empirical study: causality between strandscausality between strands

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Empirical studyEmpirical study

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Mathematical ModelingMathematical Modeling

Use Use Select Select Adjust Adjust Build Build

Concrete Concrete Computational Computational AbstractAbstract

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How to study How to study propagation? propagation?

Use simple modelsUse simple models

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Model # 1 Model # 1

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Model # 1 Model # 1

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Model # 2 Model # 2

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Model # 2 Model # 2

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Model # 2 Model # 2 (another initial condition)(another initial condition)

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Model # 2 Model # 2

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Model # 3 Model # 3

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Model # 3 Model # 3

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Model # 4 Model # 4

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Model # 4 Model # 4

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SelectSelect

AdjustAdjust

BuildBuild