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Technology Enhanced Assessment

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Cover of 'Technology Enhanced Assessment'

Table of Contents

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    Book Overview
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    Chapter 1 What Does a ‘Good’ Essay Look Like? Rainbow Diagrams Representing Essay Quality
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    Chapter 2 How to Obtain Efficient High Reliabilities in Assessing Texts: Rubrics vs Comparative Judgement
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    Chapter 3 Semi-automatic Generation of Competency Self-assessments for Performance Appraisal
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    Chapter 4 Case Study Analysis on Blended and Online Institutions by Using a Trustworthy System
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    Chapter 5 Student Perception of Scalable Peer-Feedback Design in Massive Open Online Courses
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    Chapter 6 Improving Diagram Assessment in Mooshak
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    Chapter 7 A Framework for e-Assessment on Students’ Devices: Technical Considerations
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    Chapter 8 Online Proctoring for Remote Examination: A State of Play in Higher Education in the EU
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    Chapter 9 Student Acceptance of Online Assessment with e-Authentication in the UK
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    Chapter 10 The Dilemmas of Formulating Theory-Informed Design Guidelines for a Video Enhanced Rubric
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    Chapter 11 Rubric to Assess Evidence-Based Dialogue of Socio-Scientific Issues with LiteMap
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    Chapter 12 Assessment of Engagement: Using Microlevel Student Engagement as a Form of Continuous Assessment
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    Chapter 13 Assessment of Relations Between Communications and Visual Focus in Dynamic Positioning Operations
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    Chapter 14 On Improving Automated Self-assessment with Moodle Quizzes: Experiences from a Cryptography Course
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    Chapter 15 Pathways to Successful Online Testing: eExams with the “Secure Exam Environment” (SEE)
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    Chapter 16 Calculating the Random Guess Score of Multiple-Response and Matching Test Items
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    Chapter 17 Designing a Collaborative Problem Solving Task in the Context of Urban Planning
Attention for Chapter 4: Case Study Analysis on Blended and Online Institutions by Using a Trustworthy System
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Chapter title
Case Study Analysis on Blended and Online Institutions by Using a Trustworthy System
Chapter number 4
Book title
Technology Enhanced Assessment
Published by
Springer, Cham, August 2018
DOI 10.1007/978-3-319-97807-9_4
Book ISBNs
978-3-31-997806-2, 978-3-31-997807-9
Authors

M. Elena Rodríguez, David Baneres, Malinka Ivanova, Mariana Durcheva, Rodríguez, M. Elena, Baneres, David, Ivanova, Malinka, Durcheva, Mariana

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 20%
Lecturer > Senior Lecturer 1 10%
Student > Doctoral Student 1 10%
Student > Ph. D. Student 1 10%
Researcher 1 10%
Other 1 10%
Unknown 3 30%
Readers by discipline Count As %
Engineering 2 20%
Computer Science 1 10%
Business, Management and Accounting 1 10%
Medicine and Dentistry 1 10%
Social Sciences 1 10%
Other 0 0%
Unknown 4 40%