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Learning to Solve Problems is a much-needed book thatdescribes models for designing interactive learning environments tosupport how to learn and solve different kinds of problems. Using aresearch-based approach, author David H. Jonassen?a recognizedexpert in the field?shows how to design instruction to supportthree kinds of problems: story problems, troubleshooting, and caseand policy analysis problems. Filled with models and job aids, thisbook describes different approaches for representing problems tolearners and includes information about technology-based tools thatcan help learners mentally represent problems for themselves.Jonassen also explores methods for associating different solutionsto problems and discusses various processes for reflecting on theproblem solving process. Learning to Solve Problems alsoincludes three methods for assessing problem-solvingskills?performance assessment, component skills; and argumentation.
This book provides a comprehensive, up-to-date look at problem solving research and practice over the last fifteen years. The first chapter describes differences in types of problems, individual differences among problem-solvers, as well as the domain and context within which a problem is being solved. Part one describes six kinds of problems and the methods required to solve them. Part two goes beyond traditional discussions of case design and introduces six different purposes or functions of cases, the building blocks of problem-solving learning environments. It also describes methods for constructing cases to support problem solving. Part three introduces a number of cognitive skills requ...
Task Analysis Methods for Instructional Design is a handbook of task analysis and knowledge elicitation methods that can be used for designing direct instruction, performance support, and learner-centered learning environments. To design any kind of instruction, it is necessary to articulate a model of how learners should think and perform. This book provides descriptions and examples of five different kinds of task analysis methods: *job/behavioral analysis; *learning analysis; *cognitive task analysis; *activity-based analysis methods; and *subject matter analysis. Chapters follow a standard format making them useful for reference, instruction, or performance support.
Learning, Problem Solving, and Mindtools is inspired by the substantial body of learning research by David H. Jonassen in the areas of mind tools and problem solving. The focus of the volume is on educational technology, especially with regard to how new technologies have facilitated and supported problem solving and critical thinking. Each chapter focuses on a particular aspect of learning with technology and elaborates the implications for the design and implementation of learning environments and activities aimed at improving the conceptualization of problems, reasoning and higher-order thinking, and solving challenging problems. This collection of scholarly essays provides a highly engaging treatment of using tools and technologies to improve problem solving; multiple perspectives on integrating educational technology to support learning in complex and challenging problem solving domains; guidance for the design of instruction to support problem solving; a systemic account of the relationships between mental models, instructional models, and assessment models; and a look into the future of educational technology research and practice.
Theoretical Foundations of Learning Environments describes the most contemporary psychological and pedagogical theories that are foundations for the conception and design of open-ended learning environments and new applications of educational technologies. In the past decade, the cognitive revolution of the 60s and 70s has been replaced or restructured by constructivism and its associated theories, including situated, sociocultural, ecological, everyday, and distributed conceptions of cognition. These theories represent a paradigm shift for educators and instructional designers, to a view of learning as necessarily more social, conversational, and constructive than traditional transmissive v...
Well-known for addressing the use of computers to foster critical-thinking and problem solving, this text was written to teach current and future teachers how to better engage learners more mindfully and meaningfully in the process of learning. Available now in it's Third Edition, it focuses on how to use technology to support meaningful learning through model building, providing powerful strategies for engaging, supporting, and assessing coonceptual change in learners.
Written for teachers, trainers, and instructional designers -- anyone who is responsible for designing or preparing instruction -- this book begins with one basic premise: individual differences mediate learning at all levels and in all situations. That is, some learners find it easier or more difficult to learn some skills or to learn from certain forms of instruction because they vary in terms of aptitude, cognitive styles, personality, or learning styles. This volume describes most of the major differences in a readable and accessible way and demonstrates how to design various forms of instruction and predict the ease with which learners will acquire different skills. Most books that discuss any learner differences focus on those that characterize special education populations, whereas this book focuses on normal learners. Designed as a handbook, this volume is structured to provide easy and consistent access to information and answers, and prescriptions and hypotheses. When definitive answers are not possible because there is no research documentation, the authors suggest theories designed to stimulate future research.
This book is about the implications of constructivism for instructional design practices, and more importantly, it is about a dialogue between instructional developers and learning theorists. Working with colleagues in each discipline, the editors were amazed to find a general lack of familiarity with each others' work. From an instructional design perspective, it seems that the practice of instructional design must be based on some conception of how people learn and what it means to learn. From a learning theory perspective, it seems obvious that the value of learning theory rests in the ability to predict the impact of alternative learning environments or instructional practices on what is...
This book introduces the concept of a hypothetical type of knowledge construction -- referred to as structural knowledge -- that goes beyond traditional forms of information recall to provide the bases for knowledge application. Assuming that the validity of the concept is accepted, the volume functions as a handbook for supporting the assessment and use of structural knowledge in learning and instructional settings. It's descriptions are direct and short, and its structure is consistent. Almost all of the chapters describe a technique for representing and assessing structural knowledge acquisition, conveying knowledge structures through direct instruction, or providing learners with strateg...