The Neurological Basis of Learning, Development and Discovery: Implications for Science and Mathematics Instruction: 18 (Contemporary Trends and Issues in Science Education, 18) - Softcover

Lawson, Anton E.

Softcover

ISBN 10: 9048162475 ISBN 13: 9789048162475

Publisher: Springer, 2010

Synopsis

A goal of mine ever since becoming an educational researcher has been to help construct a sound theory to guide instructional practice. For far too long, educational practice has suffered because we have lacked firm instructional guidelines, which in my view should be based on sound psychological theory, which in turn should be based on sound neurological theory. In other words, teachers need to know how to teach and that "how-to-teach" should be based solidly on how people learn and how their brains function. As you will see in this book, my answer to the question of how people learn is that we all learn by spontaneously generating and testing ideas. Idea generating involves analogies and testing requires comparing predicted consequences with actual consequences. We learn this way because the brain is essentially an idea generating and testing machine. But there is more to it than this. The very process ofgenerating and testing ideas results not only in the construction of ideas that work (i. e. , the learning of useful declarative knowledge), but also in improved skill in learning (i. e. , the development of improved procedural knowledge).

About this title

Review

"This is a very rich and exceedingly well-written book. I learned a lot."
(Dan Ryder, University of Connecticut, U.S.A., Synthese 141:2)

From the Back Cover

This book contains substantially extended and revised versions of the best papers from the 12th International Conference on Enterprise Information Systems (ICEIS 2010), held in Funchal, Madeira, Portugal, June 8-12, 2010.

Two invited papers are presented together with 39 contributions, which were carefully reviewed and selected from 62 full papers presented at the conference (out of 448 submissions). They reflect state-of-the-art research work that is often driven by real-world applications, thus successfully relating the academic with the industrial community. The topics covered are: databases and information systems integration, artificial intelligence and decision support systems, information systems analysis and specification, software agents and internet computing, and human-computer interaction.

Edition details

• Publisher: Springer
• Publication date: 2010
• ISBN 10: 9048162475
• ISBN 13: 9789048162475
• Binding: Paperback
• Language: English
• Number of pages: 301