Artificial intelligence and learning environments: Preface

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Knowledge Cartography: Software tools and mapping techniques

Knowledge Cartography is the discipline of mapping intellectual landscapes.The focus of this book is on the process by which manually crafting interactive, hypertextual maps clarifies one’s own understanding, as well as communicating it.The authors see mapping software as a set of visual tools for reading and writing in a networked age. In an information ocean, the primary challenge is to find meaningful patterns around which we can weave plausible narratives. Maps of concepts, discussions and arguments make the connections between ideas tangible and disputable. With 17 chapters from the leading researchers and practitioners, the reader will find the current state–of-the-art in the field. Part 1 focuses on educational applications in schools and universities, before Part 2 turns to applications in professional communitie

Reviews

Technology‐based Learning Environments: Psychological and Educational Foundations edited by S. Vosniadou, E. De Corte and H. Mandl, volume 137 in NATO ASI Series F (Computer and Systems Sciences), Berlin, Springer‐Verlag, ISBN: 0–387–58253–3, 1994

Educational Technology: The influence of theory

In this paper we explore the role of theories in current practice in educational technology. We review a range of writings from the past 30 years on the nature of learning technology research. We discuss influences on learning technologies from the related fields of Artificial Intelligence in Education (AIED) and Human-Computer Interaction (HCI). We identify two groups of theories which have been used. The first group are related to principled decisions about the design of learning materials. The second group influence the ways in which we frame our research on learning. Research in learning technologies in the future will need to draw on both groups of theories. In this paper, we draw on our own experiences as educational technologists and the purpose of the paper is to encourage other educational technologists to join with us in reflecting on their own use of theories

Artifical Intelligence for Human Computing

This book constitutes the thoroughly refereed post-proceedings of two events discussing AI for Human Computing: one Special Session during the Eighth International ACM Conference on Multimodal Interfaces (ICMI 2006), held in Banff, Canada, in November 2006, and a Workshop organized in conjunction with the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), held in Hyderabad, India, in January 2007. A large number of the contributions in this state-of-the-art survey are updated and extended versions of the papers presented during these two events. In order to obtain a more complete overview of research efforts in the field of human computing, a number of additional invited contributions are also included in this book on AI for human computing. The 17 revised papers presented were carefully selected from numerous submissions to and presentations made at the two events and include invited articles to round off coverage of all relevant topics of the emerging topic. The papers are organized in three parts: a part on foundational issues of human computing, a part on sensing humans and their activities, and a part on anthropocentric interaction models