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Lines of Inquiry in Mathematical Modelling Research in Education

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Cover of 'Lines of Inquiry in Mathematical Modelling Research in Education'

Table of Contents

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    Book Overview
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    Chapter 1 State of the Art on Modelling in Mathematics Education—Lines of Inquiry
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    Chapter 2 Toward a Framework for a Dialectical Relationship Between Pedagogical Practice and Research
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    Chapter 3 Towards Integration of Modelling in Secondary Mathematics Teaching
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    Chapter 4 Real-World Task Context: Meanings and Roles
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    Chapter 5 Approaches to Investigating Complex Dynamical Systems
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    Chapter 6 Precision, Priority, and Proxies in Mathematical Modelling
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    Chapter 7 Teachers as Learners: Engaging Communities of Learners in Mathematical Modelling Through Professional Development
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    Chapter 8 Assessing Sub-competencies of Mathematical Modelling—Development of a New Test Instrument
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    Chapter 9 The Influence of Technology on the Mathematical Modelling of Physical Phenomena
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    Chapter 10 Adopting the Modelling Cycle for Representing Prospective and Practising Teachers’ Interpretations of Students’ Modelling Activities
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    Chapter 11 Heuristic Strategies as a Toolbox in Complex Modelling Problems
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    Chapter 12 Modelling Tasks and Students with Mathematical Difficulties
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    Chapter 13 Conclusions and Future Lines of Inquiry in Mathematical Modelling Research in Education
Attention for Chapter 11: Heuristic Strategies as a Toolbox in Complex Modelling Problems
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Citations

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Chapter title
Heuristic Strategies as a Toolbox in Complex Modelling Problems
Chapter number 11
Book title
Lines of Inquiry in Mathematical Modelling Research in Education
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-14931-4_11
Book ISBNs
978-3-03-014930-7, 978-3-03-014931-4
Authors

Peter Stender

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 100%
Readers by discipline Count As %
Psychology 1 50%
Chemistry 1 50%

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