Computer-Based Diagnostics and Systematic Analysis of Knowledge

  • Dirk Ifenthaler
  • Pablo Pirnay-Dummer
  • Norbert M. Seel

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Elicitation of Knowledge

  3. Aggregation and Classification of Knowledge

    1. Front Matter
      Pages 75-76
    2. Pablo Pirnay-Dummer, Dirk Ifenthaler
      Pages 77-115
    3. Andrew F. Chiarella, Susanne P. Lajoie
      Pages 131-158
  4. Comaprison and Empirical Testing Strategies

    1. Front Matter
      Pages 175-176
    2. Peter Tittmann
      Pages 177-188
    3. Roger W. Schvaneveldt, Trevor A. Cohen
      Pages 189-211
    4. Pablo Pirnay-Dummer
      Pages 235-258
  5. Application of Obtained Results

    1. Front Matter
      Pages 259-260
    2. Harold F. O’Neil, San-hui Sabrina Chuang, Eva L. Baker
      Pages 261-279
    3. Valerie J. Shute, Iskandaria Masduki, Oktay Donmez, Vanessa P. Dennen, Yoon-Jeon Kim, Allan C. Jeong et al.
      Pages 281-309

About this book

Introduction

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.

Keywords

Aggregation of Knowledge Analysis of Knowledge Classification of Knowledge Elicitation of Knowledge Empirical Testing Strategies Evaluation computer science learning linguistics modeling

Editors and affiliations

  • Dirk Ifenthaler
    • 1
  • Pablo Pirnay-Dummer
    • 2
  • Norbert M. Seel
    • 3
  1. 1.Abt. LernforschungUniversität FreiburgFreiburgGermany
  2. 2.Abt. LernforschungUniversität FreiburgFreiburgGermany
  3. 3.Inst. ErziehungswissenschaftUniv. FreiburgFreiburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-5662-0
  • Copyright Information Springer-Verlag US 2010
  • Publisher Name Springer, Boston, MA
  • eBook Packages Humanities, Social Sciences and Law
  • Print ISBN 978-1-4419-5661-3
  • Online ISBN 978-1-4419-5662-0
  • About this book