Norbert M. Seel

Thomas Lehmann

Patrick Blumschein

Oleg A. Podolskiy

This textbook on Instructional Design for Learning is a must for all education and teaching students and specialists. It provides a comprehensive overview about the theoretical foundations of the various models of Instructional Design and Technology from its very beginning to the most recent approaches. It elaborates Instructional Design (ID) as a science of educational planning. The book expands on this general understanding of ID and presents an up-to-date perspective on the theories and models for the creation of detailed and precise blueprints for effective instruction. It integrates different theoretical aspects and practical approaches, such as conceptual ID models, technology-based ID, and research-based ID. In doing so, this book takes a multi-perspective view on the questions that are central for professional ID: How to analyze the relevant characteristics of the learner and the environment? How to create precise goals and adequate instruments of assessment? How to design classroom and technology-supported learning environments? How to ensure effective teaching and learning by employing formative and summative evaluation? Furthermore, this book presents empirical findings on the processes that enable effective instructional designing. Finally, this book demonstrates two different fields of application by addressing ID for teaching and learning at secondary schools and colleges, as well as for higher education.

Theoretical Foundations

Instructional Design for Learning

International Perspectives on Knowledge Integration explores theoretical conceptions and methods and reports on original research and good practices for fostering knowledge integration in pre-service teacher and higher education.

Theory, Research, and Good Practice in Pre-service Teacher and Higher Education

International Perspectives on Knowledge Integration

Walter Oberschelp

Erich Pelikan

Rudolf Repges

Das Lehrbuch stellt den interdisziplinären Bereich Medizinische Bildverarbeitung erstmals zusammenfassend, systematisch und vollständig dar. Es ist von erfahrenen Autoren aus der Informatik, Medizin, Mathematik, Physik und Elektrotechnik verfaßt, die in diesen Disziplinen forschen und lehren. Entsprechend aktuell, inhaltlich ausgewogen und lerngerecht vermitteln sie den Wissensstoff - von den technischen Grundlagen über Bilderzeugung und Bildwahrnehmung zu den mathematischen Modellierungen und den Algorithmen, mit denen heute medizinische Bilder verarbeitet werden. Ein klarer Informationsvorsprung für Studenten und Praktiker in allen Bereichen der medizinischen Bildverarbeitung!

Grundlagen, Modelle, Methoden, Anwendungen

Bildverarbeitung für die Medizin

Thomas Lehmann

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