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Automated Scoring of Complex Tasks in Computer-Based Testing

Automated Scoring of Complex Tasks in Computer-Based Testing

Isaac I. Bejar
0/5 ( ratings)
The increased use of computers and the Internet in the testing community has expanded the opportunity for innovative computer based testing. Although there are many recent developments, until now there was no one source that reviewed the latest methods of automated scoring for complex assessments. This is the first volume to provide that coverage, along with examples of "best practices" in the design, implementation, and evaluation of automated complex assessment. The contributing authors, all noted leaders in the field, introduce each method in the context of actual applications in real assessments so as to provide an accessible, realistic view of current industry practices. Evidence Centered Design, an innovative approach to assessment design, is used as the book's conceptual framework, to provide a common perspective from which to compare and contrast each method introduced. The chapters review both well-known methods for automated scoring such as rule-based logic, regression-based, and IRT systems, as well as more recent procedures such as Bayesian and neural networks. The concluding chapters compare and contrast the various methods and provide a vision for the future.; Each chapter features a discussion of the philosophical and practical approaches of the method, the associated implications for validity, reliability, and implementation, and the calculations and processes of each technique.
Pages
439
Format
ebook
Publisher
CRC Press
Release
May 16, 2006
ISBN
6611075925
ISBN 13
9786611075927

Automated Scoring of Complex Tasks in Computer-Based Testing

Isaac I. Bejar
0/5 ( ratings)
The increased use of computers and the Internet in the testing community has expanded the opportunity for innovative computer based testing. Although there are many recent developments, until now there was no one source that reviewed the latest methods of automated scoring for complex assessments. This is the first volume to provide that coverage, along with examples of "best practices" in the design, implementation, and evaluation of automated complex assessment. The contributing authors, all noted leaders in the field, introduce each method in the context of actual applications in real assessments so as to provide an accessible, realistic view of current industry practices. Evidence Centered Design, an innovative approach to assessment design, is used as the book's conceptual framework, to provide a common perspective from which to compare and contrast each method introduced. The chapters review both well-known methods for automated scoring such as rule-based logic, regression-based, and IRT systems, as well as more recent procedures such as Bayesian and neural networks. The concluding chapters compare and contrast the various methods and provide a vision for the future.; Each chapter features a discussion of the philosophical and practical approaches of the method, the associated implications for validity, reliability, and implementation, and the calculations and processes of each technique.
Pages
439
Format
ebook
Publisher
CRC Press
Release
May 16, 2006
ISBN
6611075925
ISBN 13
9786611075927

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