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Model-Based Approaches to Learning

Using Systems Models and Simulations to Improve Understanding and Problem Solving in Complex Domains

2009 - 360 pages

Patrick Blumschein (Albert-Ludwigs-University of Freiburg, Germany), Woei Hung (University of North Dakota, USA), David Jonassen (University of Missouri, USA) and Johannes Strobel (Purdue University, West Lafayette, USA) (Eds.)

ISBN Paperback: 9789087907099 ($ 54.00)
ISBN Hardcover: 9789087907105 ($ 99.00)
ISBN E-Book: 9789087907112

Subject: Educational Technology

Number 4 of the series: Modeling and Simulation for Learning and Instruction

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Model-Based Approaches to Learning

Model-Based Approaches to Learning provides a new perspective called learning by system modeling. This book explores the learning impact of students when constructing models of complex systems. In this approach students are building their own models and engaging at a much deeper conceptual level of understanding of the content, processes, and problem solving of the domain, which is proven to be successful by research from the area of mindtools. Topics covered include the foundations of knowledge structures and mental model development, modeling for understanding, modeling for assessment, individual versus collaborative modeling, and the use of simulations to support learning and instruction in complex, cognitive domains. The thread tying these chapters together is an emphasis on what the learner is doing when he is engaged in modeling and simulation construction rather than merely interacting with constructed simulations. Model-Based Approaches to Learning is an interesting book for Educators (Instructors, K-12 Teachers), who are looking for forms to use advanced computer technology in classrooms. Also Teachers' educators who are working on the integration of technology into their teacher preparation classrooms can find new concepts and best-practice examples in this book. This also holds true for all Educators and Researchers who are interested in modeling as an activity to successfully work with ill-structured and complex problems.
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Model-Based Approaches to Learning