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.

Learning with Multiple Representations (Advances in Learning and Instruction Series, 1)

Computers & Technology

Boshuizen, H. P. a.

Reimann, Peter

Boshuizen, Henry P. a.

Computer Science

Emerald Publishing Limited

International Handbook of the Learning Sciences

The International Handbook of the Learning Sciences is a comprehensive collection of international perspectives on this interdisciplinary field. In more than 50 chapters, leading experts synthesize past, current, and emerging theoretical and empirical directions for learning sciences research. The three sections of the handbook capture, respectively: foundational contributions from multiple disciplines and the ways in which the learning sciences has fashioned these into its own brand of use-oriented theory, design, and evidence; learning sciences approaches to designing, researching, and evaluating learning broadly construed; and the methodological diversity of learning sciences research, assessment, and analytic approaches. This pioneering collection is the definitive volume of international learning sciences scholarship and an essential text for scholars in this area.

Science & Math

Hmelo-Silver, Cindy E.

Goldman, Susan R.

Behavioral Sciences

Routledge

"This book combines empirical and methodological research to study the role of time comprehensively from an institutional and management perspective, a technological perspective, and a pedagogical perspective"--

Assessment and Evaluation of Time Factors in Online Teaching and Learning

Information Science Reference

Barbera, Elena

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Books by Reimann, Peter