The fields of cognitive science and education have worked hard to discover effective principles of learning with the goal of improving educational achievement. And although each has made significant advances, there has been, until today, a gap between the two disciplines. This special issue brings together researchers aiming to bridge laboratory data with real world learning practices, each providing recent and crucial information concerning the improvement of learning. The readings will allow both researchers and educators to understand strategies that would most benefit students by improving learning as well as the ability of learning to learn - or what has been defined as metacognition.

The Mental Models Theory of Reasoning presents theoretical and empirical research on an area of growing interest, the status of mental models in deductive reasoning. As research in the framework of the mental models theory flourishes, this book answers a need to assess the contribution of the notion of training and content. It covers the central issues of propositional, relational, causal and probabilistic reasoning, and argumentation and development. In addition, this work presents data regarding strategies, argumentation, and the development of reasoning. Special features of this text include: *sharp theoretical analyses as well as important new empirical data offered by theorists who work in the framework of the mental models theory; *a critical and empirically driven account of content effects in conditional and linear reasoning; and *an original account on the influence of pragmatics on reasoning. The Mental Models Theory of Reasoning will be of interest to researchers and advanced students of cognitive psychology, and will be valuable to individuals working in Artificial Intelligence, as it highlights theoretical and empirical data on how humans use mental models when tackling deductive puzzles.

Spatial working memory is the ability to remember the location in which something is perceived, and in addition, the ability to recall a series of visited locations. In this book, top researchers in the domain of spatial working memory review and discuss findings about the processes and memory structures which underlie the ability to store and use spatial information.

The first part of the book provides an examination of the working memory system, looking at the behavioural and neural processes involved in working with (visuo-) spatial information and how these can constrain the hypotheses that are generated. It also addresses methodological questions, for example looking at how the use of the appropriate method can ensure that the observed data are as informative as possible about the underlying structures. The remaining chapters focus on specific problems to do with spatial working memory such as how the working memory system can handle individual differences in representing spatial interactions, how the visuospatial system can support and interact with the environment and the verbal system, and how understanding these systems can shed light on the development of particular skills in children with developmental disorders.

With contributions from leading international figures in the field, this book is the first to address the topic of spatial working memory from a range of theoretical and methodological perspectives. As such, it will serve as an indispensible tool for students and researchers interested in working memory.

The fields of cognitive science and education have worked hard to discover effective principles of learning with the goal of improving educational achievement. And although each has made significant advances, there has been, until today, a gap between the two disciplines. This special issue brings together researchers aiming to bridge laboratory data with real world learning practices, each providing recent and crucial information concerning the improvement of learning. The readings will allow both researchers and educators to understand strategies that would most benefit students by improving learning as well as the ability of learning to learn - or what has been defined as metacognition.

"The Mental Models Theory of Reasoning" presents theoretical and empirical research on an area of growing interest, the status of mental models in deductive reasoning. As research in the framework of the mental models theory flourishes, this book answers a need to assess the contribution of the notion of training and content. It covers the central issues of propositional, relational, causal and probabilistic reasoning, and argumentation and development. In addition, this work presents data regarding strategies, argumentation, and the development of reasoning.
 
Special features of this text include:
*sharp theoretical analyses as well as important new empirical data offered by theorists who work in the framework of the mental models theory;
*a critical and empirically driven account of content effects in conditional and linear reasoning; and
*an original account on the influence of pragmatics on reasoning.
 
"The Mental Models Theory of Reasoning "will be of interest to researchers and advanced students of cognitive psychology, and will be valuable to individuals working in Artificial Intelligence, as it highlights theoretical and empirical data on how humans use mental models when tackling deductive puzzles.