Learning With Multiple Representations

by Someren, Maarten W. Van; Reimann, Peter; Boshuizen, Henny P. A.; Jong, Ton De

• ISBN13: 9780080433431
• ISBN10: 008043343X
• Format: Hardcover
• Copyright: 1998-09-01
• Publisher: Emerald Group Pub Ltd

Summary

The book is written in the framework of a European collaborative research programme, Learning in Humans and Machines, funded by the European Science Foundation. The book's purpose is to collect papers on learning declarative knowledge and problem solving skills that involve multiple representations such as verbal, graphical and mathematical representations, knowledge at different levels of abstraction (e.g. qualitative and quantitative, specific cases or general models). One of the goals of the research programme is to demonstrate existing and to initiate new collaboration between educational sciences, psychology and machine learning. The first aim of this book is to give an overview of the state of the art of the topic of learning involving different representations in the form of overview chapters. The book covers approaches to this topic from different perspectives: educational, cognitive modelling and machine learning. It includes both theoretical analyses and studies in application contexts. The second aim of the book is to present current research on these topics and to articulate research issues for future research. This is done in the form of a collection of research papers and two reflective chapters.

Table of Contents

Acknowledgement	vii	(2)
Contributors	ix	(4)
Preface	xiii
1. Introduction	1	(8)
Maarten W. van Someren
Henny P.A. Boshuizen
Ton de Jong
Peter Reimann
PART 1: Multiple Representations in Learning Concepts from Physics and Mathematics	9	(128)
2. Acquiring Knowledge in Science and Mathematics: The Use of Multiple Representations in Technology-Based Learning Environments	9	(32)
Ton de Jong
Shaaron Ainsworth
Mike Dobson
Anja van der Hulst
Jarmo Levonen
Peter Reimann
Julie-Ann Sime
Maarten W. van Someren
Hans Spada
Janine Swaak
3. Reasoning with Multiple Representations when Acquiring the Particulate Model of Matter	41	(26)
Michael Rohr
Peter Reimann
4. How Beginning Students Use Graphs of Motion	67	(20)
Eileen Scanlon
5. Toward Decision Support for Multiple Representations in Teaching Early Logic	87	(15)
Mike Dobson
6. The Role of Prior Qualitative Knowledge in Inductive Learning	102	(18)
Maarten W. van Someren
Huib Tabbers
7. Analysing the Costs and Benefits of Multi-Representational Learning Environments	120	(17)
Shaaron E. Ainsworth
Peter A. Bibby
David J. Wood
PART 2: Problem Solving and Learning with Multiple Representations	137	(170)
8. Problem Solving with Multiple Representations by Multiple and Single Agents: An Analysis of the Issues Involved	137	(15)
Henny P.A. Boshuizen
Hermina J.M. (Tabachneck-) Schijf
9. Accidentology: An Example of Problem Solving by Multiple Agents with Multiple Representations	152	(23)
Laurence Alpay
Alain Giboin
Rose Dieng
10. Perspective-Taking Between Medical Doctors and Nurses: A Study on Multiple Representations of Different Experts with Common Tasks	175	(22)
Rainer Bromme
Matthias Nuckles
11. One Person, Multiple Representations: An Analysis of a Simple, Realistic Multiple Representation Learning Task	197	(40)
Hermina J.M. (Tabachneck-) Schijf
Herbert A. Simon
12. Using Multiple Representations in Medicine: How Students Struggle with Them	237	(26)
Henny P.A. Boshuizen
Margaretha W.J. van de Wiel
13. Competence-Related Differences in Problem Representations: A Study in Physics Problem Solving	263	(20)
Elwin R. Savelsbergh
Ton de Jong
Monica G.M. Ferguson-Hessler
14. A Utility-Based Approach to Speedup Learning with Multiple Representations	283	(24)
Maarten W. van Someren
Pietro Torasso
Jerzy Surma
PART 3: General Issues and Implications for Education	307	(28)
15. Multiple Representations and Their Implications for Learning	307	(13)
Alan Lesgold
16. Representation and Conceptualisation in Educational Communication	320	(15)
Keith Stenning
References	335	(24)
Index	359