Learning Within Artificial Worlds: Computer Based Modelling In The Curriculum

Learning Within Artificial Worlds: Computer Based Modelling In The Curriculum

by Harvey Mellar Institute of Education, University of London; Jon Ogborn Institute of Education, Unive, University of London Jon Ogborn Institute of Education, University of London Richard Boohan Institute of Education, Richard Tompsett Kingston University.
     
 

With the advent of the National Curriculum, computer based modelling CBM is now a compulsory part of the school curriculum. Teachers are increasingly being encouraged to seek out opportunities for CBM in their own subject and across the curriculum. The new demands on the curriculum have left eachers and teacher trainers concerned as to their lack of experience in

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Overview

With the advent of the National Curriculum, computer based modelling CBM is now a compulsory part of the school curriculum. Teachers are increasingly being encouraged to seek out opportunities for CBM in their own subject and across the curriculum. The new demands on the curriculum have left eachers and teacher trainers concerned as to their lack of experience in the area. This book sets out to provide a comprehensive guide to the area through an examination of a number of funded projects on CBM and their application to the school curriculum, setting them in the context of wider theoretical and practical concerns. It is acknowledged that computers bring about change in the classroom, both in teachers' professional development and innovative practices in teaching and learning. In highlighting how CBM can aid in the effective delivery of the curriculum, this book should be essential reading for teachers and researchers in the field.

Product Details

ISBN-13:
9780750703123
Publisher:
Taylor & Francis
Publication date:
10/01/1994
Pages:
260
Product dimensions:
6.14(w) x 9.21(h) x 0.69(d)

Table of Contents

Acknowledgments
List of Figures and Tables
Abbreviations
Ch. 1Introduction: Modelling and Education1
Pt. 1The Nature of Modelling9
Ch. 2Overview: The Nature of Modelling11
Ch. 3Models: Their Makers, Uses and Problems16
Ch. 4From Mental Models to Modelling27
Ch. 5Computational Issues in Modelling33
Ch. 6Representations and Representation Systems39
Pt. 2Mathematics and Reality47
Ch. 7Interpreting the World with Numbers: An Introduction to Quantitative Modelling49
Ch. 8Reasoning with a Quantitative Modelling Tool59
Ch. 9Integrating Situation-based and Algebraic Approaches: The Role of Spreadsheets68
Ch. 10Using Spreadsheets to Develop Understanding in Science76
Ch. 11Models and Metaphors in Reasoning about Probability85
Ch. 12Learning about Mathematical Modelling: A Case Study using Model Builder94
Ch. 13Starting from Data: A Different Approach to Making Models104
Pt. 3Common sense Reasoning about Quantities115
Ch. 14Causality and Common sense Reasoning117
Ch. 15Reasoning with a Semi-quantitative Tool128
Pt. 4Thinking with Objects, Links and Logic143
Ch. 16An Introduction to Qualitative Modelling145
Ch. 17Reasoning with a Qualitative Modelling Tool153
Ch. 18Learning by Building Expert System Models162
Ch. 19Creating Worlds from Objects and Events171
Pt. 5Implementing Modelling in the Curriculum181
Ch. 20Towards a Modelling Curriculum183
Ch. 21Developing Software and Curriculum Materials: The Modus Project188
Ch. 22Incorporating Modelling into a Mathematics Curriculum199
Ch. 23Modelling and Teacher Change207
Appendix 1: Tools for Exploratory Learning Programme214
Appendix 2: Further Materials220
References224
Notes on Contributors234
Index237

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