Learning with Artificial Worlds: Computer-based Modelling in the Curriculum
Psychology Press, 1994 - Computer based instruction - 244 pages
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.
The Nature of Modelling
From Mental Models to Modelling
Using Spreadsheets to Develop Understanding
Causality and Common sense Reasoning
An Introduction to Qualitative Modelling
Learning by Building Expert System Models
Towards a Modelling Curriculum
Incorporating Modelling into a Mathematics
Modelling and Teacher Change
Tools for Exploratory Learning Programme
Notes on Contributors
Other editions - View all
able actions activities algebraic allow analysis approach arguments aspects behaviour build calculation causal cell Chapter complex computer model construct context created curriculum described difficulty discussion dynamic Education effect equilibrium evaluation example Expert Expert Builder exploratory explore expressive Figure fitness formal give given going ideas important increase initial interesting involved IQON kinds knowledge Learning London look materials mathematics means modelling system modelling tool move nature objects physical possible predict present probability problem Programme pupils qualitative quantitative questions range real world reasoning relationships represent representation representation systems rules schools semi-quantitative shows simple simulation situation solving spreadsheet structure suggest tasks teachers teaching Technology thinking thought traffic types understanding values variables
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
All Book Search results »
Information and Communication Technology and the Teacher of the Future: IFIP ...
Carolyn Dowling,Kwok-Wing Lai
No preview available - 2003