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E-grāmata: Computer-Based Diagnostics and Systematic Analysis of Knowledge

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  • Formāts: PDF+DRM
  • Izdošanas datums: 29-Jan-2010
  • Izdevniecība: Springer-Verlag New York Inc.
  • Valoda: eng
  • ISBN-13: 9781441956620
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  • Formāts: PDF+DRM
  • Izdošanas datums: 29-Jan-2010
  • Izdevniecība: Springer-Verlag New York Inc.
  • Valoda: eng
  • ISBN-13: 9781441956620

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What is knowledge? How can it be successfully assessed? How can we best use the results? As questions such as these continue to be discussed and the learning sciences continue to deal with expanding amounts of data, the challenge of applying theory to diagnostic methods takes on more complexity.



Computer-Based Diagnostics and Systematic Analysis of Knowledge meets this challenge head-on as an international panel of experts reviews current and emerging assessment methodologies in the psychological and educational arenas. Emphasizing utility, effectiveness, and ease of interpretation, contributors critically discuss practical innovations and intriguing possibilities (including mental representations, automated knowledge visualization, modeling, and computer-based feedback) across fields ranging from mathematics education to medicine. These contents themselves model the steps of systematic inquiry, from theoretical construct to real-world application:





















Historical and theoretical foundations for the investigation of knowledge













Current opportunities for understanding knowledge empirically













Strategies for the aggregation and classification of knowledge













Tools and methods for comparison and empirical testing













Data interfaces between knowledge assessment tools













Guidance in applying research results to particular fields















Researchers and professionals in education psychology, instructional technology, computer science, and linguistics will find Computer-Based Diagnostics and Systematic Analysis of Knowledge a stimulating guide to a complex present and a rapidly evolving future.
Elicitation of Knowledge.- Essentials of Computer-Based Diagnostics of
Learning and Cognition.- A Functional View Toward Mental Representations.-
Mental Representations and Their Analysis: An Epistemological Perspective.-
Multi-decision Approaches for Eliciting Knowledge Structure.- The Problem of
Knowledge Elicitation from the Experts Point of View.- Aggregation and
Classification of Knowledge.- Automated Knowledge Visualization and
Assessment.- Deriving Individual and Group Knowledge Structure from Network
Diagrams and from Essays.- A Self-Organising Systems Approach to
History-Enriched Digital Objects.- Performance Categories: Task-Diagnostic
Techniques and Interfaces.- Comaprison and Empirical Testing Strategies.-
Graphs and Networks.- Abductive Reasoning and Similarity: Some Computational
Tools.- Scope of Graphical Indices in Educational Diagnostics.- Complete
Structure Comparison.- Application of Obtained Results.- Computer-Based
Feedback for Computer-Based Collaborative Problem Solving.- Modeling,
Assessing, and Supporting Key Competencies Within Game Environments.- A
Methodology for Assessing Elicitation of Knowledge in Complex Domains:
Identifying Conceptual Representations of Ill-Structured Problems in Medical
Diagnosis.- Selection of Team Interventions Based on Mental Model Sharedness
Levels Measured by the Team Assessment and Diagnostic Instrument (TADI).