Learning with Artificial Worlds: Computer-based Modelling in the CurriculumHarvey Mellar This book is about modelling in education and providing children with computer tools to enable them to create their own worlds, to express their own representations of their world, and also to explore other people's representations. It is about learning with artificial worlds. With the advent of the National Curriculum computer-based modelling is now an integral part of the school curriculum. Teachers are increasingly being encouraged to seek out opportunities for CBM in their own subject and across the curriculum. These new demands have left teachers and teacher trainers concerned as to their lack of experience in this area. This book sets out to provide a comprehensive guide to the area through a very novel approach by classifying modelling into three different kinds, dependent on what is involved in the activity: quantitative, qualitative and semi-quantitative modelling. This books goes beyond any present published work in the area of computer modelling. |
Contents
The Nature of Modelling | 11 |
From Mental Models to Modelling | 27 |
Using Spreadsheets to Develop Understanding | 76 |
Causality and Common sense Reasoning | 117 |
An Introduction to Qualitative Modelling | 145 |
Learning by Building Expert System Models | 162 |
Towards a Modelling Curriculum | 183 |
Incorporating Modelling into a Mathematics | 199 |
Modelling and Teacher Change | 207 |
Tools for Exploratory Learning Programme | 214 |
Further Materials | 220 |
Notes on Contributors | 234 |
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Common terms and phrases
A-level actions algebraic analysis approach Artificial Intelligence aspects behaviour Boohan build calculation causal diagrams causal loop diagrams causal reasoning cell cellular automaton Chapter chemical equilibrium cognitive complex Computer Based Modelling computer model computer-based modelling construct created domain dynamic model Education effect equilibrium evaluation example Expert Builder expert system Exploratory Data Analysis Exploratory Learning Programme exploratory tasks explore expressive tasks feedback loops Figure formal given graphs ideas initial involved IQON King's College London knowledge London mathematical modelling mental models Microtechnology Model Builder modelling process modelling system modelling tool National Curriculum objects Ogborn Piaget possible predict probability problem pupils qualitative modelling qualitative reasoning quantitative real world relationships represent representation systems rules schools semi-quantitative reasoning shows simple simulation situation spreadsheet STELLA structure teachers teaching thinking Tools for Exploratory traffic task understanding values variables WorldMaker
References to this book
Modelling and Mathematics Education: ICTMA 9 - Applications in Science and ... J F Matos,S K Houston,W Blum,S P Carreira No preview available - 2001 |
Information and Communication Technology and the Teacher of the Future: IFIP ... Carolyn Dowling,Kwok-Wing Lai No preview available - 2003 |