Multiple Representation
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Author | : David F. Treagust |
Publisher | : Springer |
Total Pages | : 329 |
Release | : 2017-07-24 |
Genre | : Science |
ISBN | : 3319589148 |
This volume is important because despite various external representations, such as analogies, metaphors, and visualizations being commonly used by physics teachers, educators and researchers, the notion of using the pedagogical functions of multiple representations to support teaching and learning is still a gap in physics education. The research presented in the three sections of the book is introduced by descriptions of various psychological theories that are applied in different ways for designing physics teaching and learning in classroom settings. The following chapters of the book illustrate teaching and learning with respect to applying specific physics multiple representations in different levels of the education system and in different physics topics using analogies and models, different modes, and in reasoning and representational competence. When multiple representations are used in physics for teaching, the expectation is that they should be successful. To ensure this is the case, the implementation of representations should consider design principles for using multiple representations. Investigations regarding their effect on classroom communication as well as on the learning results in all levels of schooling and for different topics of physics are reported. The book is intended for physics educators and their students at universities and for physics teachers in schools to apply multiple representations in physics in a productive way.
Author | : John K. Gilbert |
Publisher | : Springer Science & Business Media |
Total Pages | : 369 |
Release | : 2009-02-28 |
Genre | : Science |
ISBN | : 1402088728 |
Chemistry seeks to provide qualitative and quantitative explanations for the observed behaviour of elements and their compounds. Doing so involves making use of three types of representation: the macro (the empirical properties of substances); the sub-micro (the natures of the entities giving rise to those properties); and the symbolic (the number of entities involved in any changes that take place). Although understanding this triplet relationship is a key aspect of chemical education, there is considerable evidence that students find great difficulty in achieving mastery of the ideas involved. In bringing together the work of leading chemistry educators who are researching the triplet relationship at the secondary and university levels, the book discusses the learning involved, the problems that students encounter, and successful approaches to teaching. Based on the reported research, the editors argue for a coherent model for understanding the triplet relationship in chemical education.
Author | : David F. Treagust |
Publisher | : Springer Science & Business Media |
Total Pages | : 394 |
Release | : 2013-02-01 |
Genre | : Science |
ISBN | : 9400741928 |
This new publication in the Models and Modeling in Science Education series synthesizes a wealth of international research on using multiple representations in biology education and aims for a coherent framework in using them to improve higher-order learning. Addressing a major gap in the literature, the volume proposes a theoretical model for advancing biology educators’ notions of how multiple external representations (MERs) such as analogies, metaphors and visualizations can best be harnessed for improving teaching and learning in biology at all pedagogical levels. The content tackles the conceptual and linguistic difficulties of learning biology at each level—macro, micro, sub-micro, and symbolic, illustrating how MERs can be used in teaching across these levels and in various combinations, as well as in differing contexts and topic areas. The strategies outlined will help students’ reasoning and problem-solving skills, enhance their ability to construct mental models and internal representations, and, ultimately, will assist in increasing public understanding of biology-related issues, a key goal in today’s world of pressing concerns over societal problems about food, environment, energy, and health. The book concludes by highlighting important aspects of research in biological education in the post-genomic, information age.
Author | : Peggy Van Meter |
Publisher | : Routledge |
Total Pages | : 696 |
Release | : 2020-03-10 |
Genre | : Education |
ISBN | : 0429813651 |
In and out of formal schooling, online and off, today’s learners must consume and integrate a level of information that is exponentially larger and delivered through a wider range of formats and viewpoints than ever before. The Handbook of Learning from Multiple Representations and Perspectives provides a path for understanding the cognitive, motivational, and socioemotional processes and skills necessary for learners across educational contexts to make sense of and use information sourced from varying inputs. Uniting research and theory from education, psychology, literacy, library sciences, media and technology, and more, this forward-thinking volume explores the common concerns, shared challenges, and thematic patterns in our capacity to make meaning in an information-rich society. Chapter 16 of this book is freely available as a downloadable Open Access PDF under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license available at http://www.taylorfrancis.com/books/e/9780429443961.
Author | : Maarten W. van Someren |
Publisher | : Emerald Group Publishing |
Total Pages | : 360 |
Release | : 1998 |
Genre | : Computers |
ISBN | : 9780080433431 |
Aims to collect papers on learning declarative knowledge and problem solving skills that involve multiple representations such as graphical and mathematical representations, knowledge at different levels of abstraction. This book covers approaches to this topic from different perspectives: educational, cognitive modelling and machine learning.
Author | : Jerry Bobrow |
Publisher | : Elsevier |
Total Pages | : 442 |
Release | : 2014-06-28 |
Genre | : Computers |
ISBN | : 1483299155 |
Representation and Understanding
Author | : John K. Gilbert |
Publisher | : Springer Science & Business Media |
Total Pages | : 326 |
Release | : 2007-12-05 |
Genre | : Education |
ISBN | : 1402052677 |
External representations (pictures, diagrams, graphs, concrete models) have always been valuable tools for the science teacher. This book brings together the insights of practicing scientists, science education researchers, computer specialists, and cognitive scientists, to produce a coherent overview. It links presentations about cognitive theory, its implications for science curriculum design, and for learning and teaching in classrooms and laboratories.
Author | : Thomas Däubler |
Publisher | : Routledge |
Total Pages | : 351 |
Release | : 2020-05-21 |
Genre | : Political Science |
ISBN | : 0429515561 |
This comprehensive volume studies the vices and virtues of regionalisation in comparative perspective, including countries such as Belgium, Germany, Spain, and the UK, and discusses conditions that might facilitate or hamper responsiveness in regional democracies. It follows the entire chain of democratic responsiveness, starting from the translation of citizen preferences into voting behaviour, up to patterns of decision-making and policy implementation. Many European democracies have experienced considerable decentralisation over the past few decades. This book explores the key virtues which may accompany this trend, such as regional-level political authorities performing better in understanding and implementing citizens’ preferences. It also examines how, on the other hand, decentralisation can come at a price, especially since the resulting multi-level structures may create several new obstacles to democratic representation, including information, responsibility and accountability problems. This book was originally published as a special issue of the journal West European Politics.
Author | : Zhilin Li |
Publisher | : CRC Press |
Total Pages | : 310 |
Release | : 2006-10-04 |
Genre | : Technology & Engineering |
ISBN | : 1420008439 |
With the widespread use of GIS, multi-scale representation has become an important issue in the realm of spatial data handling. However, no book to date has systematically tackled the different aspects of this discipline. Emphasizing map generalization, Algorithmic Foundation of Multi-Scale Spatial Representation addresses the mathematical basis of
Author | : Zhengming Ding |
Publisher | : Springer |
Total Pages | : 272 |
Release | : 2018-12-06 |
Genre | : Computers |
ISBN | : 3030007340 |
This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal. A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.