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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
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Mentioned by

1 policy source
14 tweeters
2 Facebook pages
1 Wikipedia page


13 Dimensions

Readers on

16 Mendeley
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Theoretical and Practical Advances in Computer-based Educational Measurement
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-18480-3
978-3-03-018479-7, 978-3-03-018480-3

Bernard P. Veldkamp, Cor Sluijter

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Student > Master 4 25%
Researcher 2 13%
Student > Bachelor 2 13%
Professor 1 6%
Other 0 0%
Unknown 3 19%
Readers by discipline Count As %
Social Sciences 4 25%
Mathematics 1 6%
Linguistics 1 6%
Computer Science 1 6%
Arts and Humanities 1 6%
Other 4 25%
Unknown 4 25%