Your Waterstones card is changing, introducing...
Modeling Students' Mathematical Modeling Competencies: ICTMA 13 (Paperback)
  • Modeling Students' Mathematical Modeling Competencies: ICTMA 13 (Paperback)

Modeling Students' Mathematical Modeling Competencies: ICTMA 13 (Paperback)

(editor), (editor), (editor), (editor)
Paperback 650 Pages / Published: 02/09/2014
  • We can order this

Usually despatched within 3 weeks

  • This item has been added to your basket

As we enter the 21st century, there is an urgent need for new approaches to mathematics education emphasizing its relevance in young learners' futures. Modeling Students' Mathematical Modeling Competencies explores the vital trend toward using real-world problems as a basis for teaching mathematics skills, competencies, and applications. Blending theoretical constructs and practical considerations, the book presents papers from the latest conference of the ICTMA, beginning with the basics (Why are models necessary? Where can we find them?) and moving through intricate concepts of how students perceive math, how instructors teach-and how both can become better learners. Dispatches as varied as classroom case studies, analyses of math in engineering work, and an in-depth review of modeling-based curricula in the Netherlands illustrate modeling activities on the job, methods of overcoming math resistance, and the movement toward replicable models and lifelong engagement.

A sampling of topics covered:

How students recognize the usefulness of mathematics

Creating the modeling-oriented classroom

Assessing and evaluating students' modeling capabilities

The relationship between modeling and problem-solving

Instructor methods for developing their own models of modeling

New technologies for modeling in the classroom

Modeling Students' Mathematical Modeling Competencies offers welcome clarity and focus to the international research and professional community in mathematics, science, and engineering education, as well as those involved in the sciences of teaching and learning these subjects.

Publisher: Springer-Verlag New York Inc.
ISBN: 9781489983893
Number of pages: 650
Weight: 1009 g
Dimensions: 235 x 155 x 34 mm
Edition: 2010 ed.

You may also be interested in...

Doing Bayesian Data Analysis
Added to basket
Networks: A Very Short Introduction
Added to basket
Stochastic Differential Equations
Added to basket
Added to basket
Linear Algebra
Added to basket
Added to basket
Essential Medical Statistics 2E
Added to basket
Added to basket
In All Likelihood
Added to basket
A First Course in Coding Theory
Added to basket


Please sign in to write a review

Your review has been submitted successfully.