Download Learning to Solve Problems: A Handbook for Designing by David H. Jonassen PDF

By David H. Jonassen

This e-book presents a accomplished, updated examine challenge fixing study and perform over the last fifteen years. the 1st bankruptcy describes modifications in kinds of difficulties, person ameliorations between problem-solvers, in addition to the area and context during which an issue is being solved. Part one describes six varieties of difficulties and the tools required to resolve them. Part two is going past conventional discussions of case layout and introduces six assorted reasons or services of circumstances, the construction blocks of problem-solving studying environments. It additionally describes tools for developing instances to help challenge fixing. Part three introduces a couple of cognitive abilities required for learning instances and fixing difficulties. ultimately, Part four describes a number of equipment for assessing challenge fixing. Key positive factors includes:

  • Teaching concentration – The booklet isn't really in basic terms a evaluate of study. It additionally offers particular research-based recommendation on easy methods to layout problem-solving studying environments.
  • Illustrative instances – A wealthy array of instances illustrates easy methods to construct problem-solving studying environments. Part two introduces six diversified services of circumstances and likewise describes the parameters of a case.
  • Chapter Integration – Key theories and ideas are addressed throughout chapters and hyperlinks to different chapters are made particular. the assumption is to teach how other forms of difficulties, instances, talents, and exams are integrated.
  • Author services – A prolific researcher and author, the writer has been studying and publishing books and articles on studying to resolve difficulties for the past fifteen years.

This publication is acceptable for complicated classes in educational layout and know-how, technological know-how schooling, utilized cognitive psychology, pondering and reasoning, and academic psychology. educational designers, in particular these desirous about designing problem-based studying, in addition to curriculum designers who search new methods of structuring curriculum will locate it a useful reference tool.

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Additional info for Learning to Solve Problems: A Handbook for Designing Problem-Solving Learning Environments

Sample text

Case libraries provide viable substitutes for experience when learning to solve ill-structured problems. Which Thinking/Reasoning Skills Affect Problems Solving? The underlying assumption of my work is that different kinds of problem solving entail different kinds of cognition: different knowledge, different forms of knowledge representation, and different thinking skills. It is impossible to isolate and explicate all of the thinking processes entailed by every kind of problem in every context. However, the cognitive processes that enable learners to solve problems are the construction of problem schemas (Chapter 15), analogical reasoning (Chapter 16), causal reasoning (Chapter 17), and argumentation (Chapter 20).

It is the quality of their conceptual models that most influences the ease and accuracy with which the problem can be solved (Hayes & Simon, 1976). Those conceptual models, also known as problem schemas (see Chapter 15 for a description of problem schemas), are mental representations of the pattern of information that is represented in the problem (Riley & Greeno, 1988). In order to solve story problems consistently, learners must demonstrate conceptual understanding of the problem types by constructing a conceptual model that includes a situational model of the problem, a structural model of the problem, and an algorithmic model (formula) of the problem from the problem text (Reusser, 1993).

Perhaps the most ill-structured kind of problem is design (Jonassen, 2000c). Whether it be an electronic circuit, a mechanical part, a new manufacturing system, or a symphony, design requires applying a great deal of domain knowledge with a lot of strategic knowledge, resulting in an original design. Despite the apparent goal of finding an optimal solution within determined constraints, design problems usually have vaguely defined or unclear goals with unstated constraints. They possess multiple solutions, with multiple solution paths.

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