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Innovative Assessment of Collaboration

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Cover of 'Innovative Assessment of Collaboration'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Innovative Assessment of Collaboration
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    Chapter 2 The Assessment of Team Performance: Observations and Needs
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    Chapter 3 Assessing Collaboration Within and Between Teams: A Multiteam Systems Perspective
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    Chapter 4 Innovation in Team Interaction: New Methods for Assessing Collaboration Between Brains and Bodies Using a Multi-level Framework
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    Chapter 5 Assessing Collaborative Problem Solving Through Conversational Agents
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    Chapter 6 Assessment of Discussion in Learning Contexts
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    Chapter 7 Collaborative Problem Solving Measures in the Programme for International Student Assessment (PISA)
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    Chapter 8 Assessing and Teaching 21st Century Skills: Collaborative Problem Solving as a Case Study
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    Chapter 9 Initial Steps Towards a Standardized Assessment for Collaborative Problem Solving (CPS): Practical Challenges and Strategies
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    Chapter 10 Exploring Dual Eye Tracking as a Tool to Assess Collaboration
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    Chapter 11 Multimodal Behavioral Analytics in Intelligent Learning and Assessment Systems
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    Chapter 12 Measuring Collaboration in Cross-Cultural Contexts
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    Chapter 13 Inclusive Design of Collaborative Problem-Solving Tasks
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    Chapter 14 Understanding and Assessing Collaborative Processes Through Relational Events
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    Chapter 15 Modeling Collaboration Using Point Processes
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    Chapter 16 Dynamic Bayesian Network Models for Peer Tutoring Interactions
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    Chapter 17 Representing Self-organization and Nonstationarities in Dyadic Interaction Processes Using Dynamic Systems Modeling Techniques
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    Chapter 18 Modeling Collaboration with Social Network Models
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    Chapter 19 Network Models for Teams with Overlapping Membership
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    Chapter 20 Linking Team Neurodynamic Organizations with Observational Ratings of Team Performance
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Mentioned by

5 tweeters
1 Facebook page


23 Dimensions

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82 Mendeley
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Innovative Assessment of Collaboration
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-33261-1
978-3-31-933261-1, 978-3-31-933259-8

Alina A. von Davier, Mengxiao Zhu, Patrick C. Kyllonen

Twitter Demographics

The data shown below were collected from the profiles of 5 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 22%
Researcher 12 15%
Student > Master 11 13%
Student > Bachelor 9 11%
Lecturer 8 10%
Other 12 15%
Unknown 12 15%
Readers by discipline Count As %
Business, Management and Accounting 18 22%
Social Sciences 11 13%
Psychology 9 11%
Computer Science 6 7%
Medicine and Dentistry 6 7%
Other 15 18%
Unknown 17 21%