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Towards a Framework for Representational Competence in Science Education

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Éditeur :

Springer


Collection :

Models and Modeling in Science Education

Paru le : 2018-06-20

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Description

This book covers the current state of thinking and what it means to have a framework of representational competence and how such theory can be used to shape our understanding of the use of representations in science education, assessment, and instruction. Currently, there is not a consensus in science education regarding representational competence as a unified theoretical framework. There are multiple theories of representational competence in the literature that use differing perspectives on what competence means and entails. Furthermore, dependent largely on the discipline, language discrepancies cause a potential barrier for merging ideas and pushing forward in this area. While a single unified theory may not be a realistic goal, there needs to be strides taken toward working as a unified research community to better investigate and interpret representational competence.  An objective of this book is to initiate thinking about a representational competence theoretical framework across science educators, learning scientists, practitioners and scientists. As such, we have divided the chapters into three major themes to help push our thinking forward: presenting current thinking about representational competence in science education, assessing representational competence within learners, and using our understandings to structure instruction.
Pages
277 pages
Collection
Models and Modeling in Science Education
Parution
2018-06-20
Marque
Springer
EAN papier
9783319899435
EAN PDF
9783319899459
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
6687 Ko
Prix
94,94 €
EAN EPUB
9783319899459
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
20890 Ko
Prix
94,94 €

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