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Theoretical and Practical Advances in Computer-based Educational Measurement

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Cover of 'Theoretical and Practical Advances in Computer-based Educational Measurement'

Table of Contents

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    Book Overview
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    Chapter 1 The Validity of Technology Enhanced Assessments—Threats and Opportunities
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    Chapter 2 A Framework for Improving the Accessibility of Assessment Tasks
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    Chapter 3 The Design and Validation of the Renewed Systems-Oriented Talent Management Model
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    Chapter 4 Assessing Computer-Based Assessments
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    Chapter 5 Network Psychometrics in Educational Practice
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    Chapter 6 On the Number of Items in Testing Mastery of Learning Objectives
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    Chapter 7 Exponential Family Models for Continuous Responses
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    Chapter 8 Tracking Ability: Defining Trackers for Measuring Educational Progress
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    Chapter 9 Finding Equivalent Standards in Small Samples
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    Chapter 10 Clustering Behavioral Patterns Using Process Data in PIAAC Problem-Solving Items
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    Chapter 11 Reliability Issues in High-Stakes Educational Tests
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    Chapter 12 Differential Item Functioning in PISA Due to Mode Effects
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    Chapter 13 Investigating Rater Effects in International Large-Scale Assessments
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    Chapter 14 Multidimensional Computerized Adaptive Testing for Classifying Examinees
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    Chapter 15 Robust Computerized Adaptive Testing
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    Chapter 16 On-the-Fly Calibration in Computerized Adaptive Testing
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    Chapter 17 Reinforcement Learning Applied to Adaptive Classification Testing
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    Chapter 18 Feasibility and Value of Using a GoPro Camera and iPad to Study Teacher-Student Assessment Feedback Interactions
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    Chapter 19 Game-Based Spoken Interaction Assessment in Special Need Children
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    Chapter 20 The Theory and Practice of Educational Data Forensics
Attention for Chapter 17: Reinforcement Learning Applied to Adaptive Classification Testing
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Citations

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Chapter title
Reinforcement Learning Applied to Adaptive Classification Testing
Chapter number 17
Book title
Theoretical and Practical Advances in Computer-based Educational Measurement
Published by
Springer, Cham, July 2019
DOI 10.1007/978-3-030-18480-3_17
Book ISBNs
978-3-03-018479-7, 978-3-03-018480-3
Authors

Darkhan Nurakhmetov, Nurakhmetov, Darkhan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 60%
Professor 1 20%
Student > Doctoral Student 1 20%
Readers by discipline Count As %
Engineering 2 40%
Computer Science 1 20%
Business, Management and Accounting 1 20%
Unknown 1 20%