Role of Communication in Learning To Model

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argumentative
Argumentative Interactions
Case Study
Category=GTC
Category=JMR
Category=JNT
Category=UBJ
Category=UBL
Category=UY
Circuit Equations
cognitive
cognitive modeling
Collaboration Profile
collaborative problem solving
computer-supported education
computerized
Computerized Learning Environment
Conceptual Dissociation
conceptual learning
Dialogue Roles
Discursive Operations
educational communication research
Energy Chain
environment
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
external representations
fragment
Guppy Population
Instructional Study
interactions
Knowledge Acquisition
load
Model Fragment
Net Wall
Nonstructural Groups
Peer Assessment
Physics Teaching
qualitative
Quantitative Circuit
Quantity Space
reasoning
Reflection Groups
Science Problem Solving
scientific reasoning
Semiotic Registers
students
Students Model
Verbal Imagery Dimension
Worksheets

Product details

  • ISBN 9780415652711
  • Weight: 476g
  • Dimensions: 152 x 229mm
  • Publication Date: 11 Sep 2014
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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In this book, a number of experts from various disciplines take a look at three different strands in learning to model. They examine the activity of modeling from disparate theoretical standpoints, taking into account the individual situation of the individuals involved. The chapters seek to bridge the modeling of communication and the modeling of particular scientific domains. In so doing, they seek to throw light on the educational communication that goes on in conceptual learning.

Taken together, the chapters brought together in this volume illustrate the diversity and vivacity of research on a relatively neglected, yet crucially important aspect of education across disciplines: learning to model. A common thread across the research presented is the view that communication and interaction, as fundamental to most educational practices and as a repository of conceptual understanding and a learning mechanism in itself, is intimately linked to elaborating meaningful, coherent, and valid representations of the world.

The editors hope this volume will contribute to both the fundamental research in its field and ultimately provide results that can be of practical value in designing new situations for teaching and learning modeling, particularly those involving computers.

Paul Brna, Michael Baker, Keith Stenning, Anfree Tiberghien