Learning and teaching complex cultural knowledge calls for meaningful participation in different kinds of symbolic practices, which in turn are supported by a wide range of external representations, as gestures, oral language, graphic representations, writing and many other systems designed to account for properties and relations on some 2- or 3-dimensional objects.

The idea that humans are by nature social and political animals can be traced back to Aristotle. More recently, it has also generated great interest and controversy in related disciplines such as anthropology, biology, psychology, neuroscience and even economics. What is it about humans that enabled them to construct a social reality of unrivalled complexity? Is there something distinctive about the human mind that explains how social lives are organised around conventions, norms, and institutions? The Routledge Handbook of Philosophy of the Social Mind is an outstanding reference source to the key topics and debates in this exciting subject and is the first collection of its kind. An international team of contributors present perspectives from diverse areas of research in philosophy, drawing on comparative and developmental psychology, evolutionary anthropology, cognitive neuroscience, and behavioural economics. The thirty-two original chapters are divided into five parts: The evolution of the social mind: including the social intelligence hypothesis, co- evolution of culture and cognition, ethnic cognition, and cooperation; Developmental and comparative perspectives: including primate and infant understanding of mind, shared intentionality, and moral cognition; Mechanisms of the moral mind: including norm compliance, social emotion, and implicit attitudes; Naturalistic approaches to shared and collective intentionality: including joint action, team reasoning and group thinking, and social kinds; Social forms of selfhood and mindedness: including moral identity, empathy and shared emotion, normativity and intentionality. Essential reading for students and researchers in philosophy of mind and psychology, The Routledge Handbook of Philosophy of the Social Mind is also suitable for those in related disciplines such as social psychology, cognitive neuroscience, economics and sociology.

This book highlights the problems that have developed as students lack either the social or cultural capital to take the opportunity of Higher Education through conventional routes. This might be due to leaving school early, lacking entry qualifications or wanting to further their education and prospects after entering the workplace. Foundation courses help to widen participation and create a route towards higher education. This book offers tried and tested practical solutions, from the notion of widening participation, to recruitment of students and to ways of helping them to make the most of themselves and develop the skills they need to progress on degree courses of their choice.

Learning progressions – descriptions of increasingly sophisticated ways of thinking about or understanding a topic (National Research Council, 2007) – represent a promising framework for developing organized curricula and meaningful assessments in science. In addition, well-grounded learning progressions may allow for coherence between cognitive models of how understanding develops in a given domain, classroom instruction, professional development, and classroom and large-scale assessments. Because of the promise that learning progressions hold for bringing organization and structure to often disconnected views of how to teach and assess science, they are rapidly gaining popularity in the science education community. However, there are signi?cant challenges faced by all engaged in this work. In June 2009, science education researchers and practitioners, as well as scientists, psychometricians, and assessment specialists convened to discuss these challenges as part of the Learning Progressions in Science (LeaPS) conference. The LeaPS conference provided a structured forum for considering design decisions entailed in four aspects of work on learning progressions: de?ning learning progressions; developing assessments to elicit student responses relative to learning progressions; modeling and interpreting student performance with respect to a learning progressions; and using learning progressions to in?uence standards, curricula, and teacher education. This book presents speci?c examples of learning progression work and syntheses of ideas from these examples and discussions at the LeaPS conference.

This open access book develops a theoretical concept of teaching that is relevant to early childhood education, and based on children’s learning and development through play. It discusses theoretical premises and research on playing and learning, and proposes the development of play-responsive didaktik. It examines the processes and products of learning and development, teaching and its phylogenetic and ontogenetic development, as well as the ‘what’ of learning and didaktik. Next, it explores the actions, objects and meaning of play and provides insight into the diversity of beliefs about the practices of play. The book presents ideas on how combined research and development projects can be carried out, providing incentive and a model for practice development and research. The second part of the book consists of empirical studies on teacher’s playing skills and examples of play with very young as well as older children.

This book features 35 of best papers from the 9th European Science Education Research Association Conference, ESERA 2011, held in Lyon, France, September 5th-9th 2011. The ESERA international conference featured some 1,200 participants from Africa, Asia, Australia, Europe as well as North and South America offering insight into the field at the end of the first decade of the 21st century. This book presents studies that represent the current orientations of research in science education and includes studies in different educational traditions from around the world. It is organized into six parts around the three poles (content, students, teachers) and their interrelations of science education: after a general presentation of the volume (first part), the second part concerns SSI (Socio-Scientific Issues) dealing with new types of content, the third the teachers, the fourth the students, the fifth the relationships between teaching and learning, and the sixth the teaching resources and the curricula.

This book is derived from selected papers from the Fourteenth International Congress on Mathematical Education Topic Study Group 12, Teaching and Learning Statistics. It describes recent research on curriculum, pedagogy and outreach initiatives from countries as diverse as Brazil, Chile, Columbia, Denmark, Germany, the Netherlands, Spain, Sweden, Thailand, Turkey, the United Kingdom, and the United States. The book has a focus on the use of data in the teaching and learning of statistics across grade levels and begins with an overview of the status of statistics education and the use of data from seven different countries across the continents and the link between research and practice in those countries. Because it contains specific examples of the research, for example, on the ways children learn, the choice and implementation of tasks, or the role of informal inference, the book will be a great resource to those interested and involved in the teaching of statistics, curriculum developers, and statistics education researchers.

Just like representations in everyday life, this book shows that represenations are ubiquitous to science, technology, engineering, and mathematics, the STEM disciplines. "Show Me What You Know" showcases research on representations across a range of STEM disciplines and ages, from children as young as 2 years of age to professional mathematicians. The text highlights the importance of paying close attention to learners' interpretations and productions of different representations as a source of evidence for what learners understand, and another way for learners to "show us what they know'. The text is organized around four themes: appropriation of representations, making meaning, highlighting, and representations as scaffold and supports.

This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.

In this book, 23 contributors offer new insights on key issues in mathematics education in early childhood.