Towards a Framework for Representational Competence in Science Education is popular PDF and ePub book, written by Kristy L. Daniel in 2018-06-20, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Towards a Framework for Representational Competence in Science Education can be Read Online from any device for your convenience.
Towards a Framework for Representational Competence in Science Education Book PDF Summary
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.
Detail Book of Towards a Framework for Representational Competence in Science Education PDF
- Author : Kristy L. Daniel
- Release : 20 June 2018
- Publisher : Springer
- ISBN : 9783319899459
- Genre : Science
- Total Page : 276 pages
- Language : English
- PDF File Size : 13,7 Mb
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