Overview
- Uniquely integrates perspectives on the topic of collaboration from multiple interdisciplinary fields
- The first to combine collaborative assessment methods with advanced statistical measurement techniques
- Introduces the most recent progress and innovative ways of studying collaboration
- Provides examples in a broad array of assessment contexts
- Includes supplementary material: sn.pub/extras
Part of the book series: Methodology of Educational Measurement and Assessment (MEMA)
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About this book
This edited volume provides a platform for experts from various fields to introduce and discuss their different perspectives on the topic of teamwork and collaborative problem solving. It brings together researchers in organizational teaming, educational collaboration, tutoring, simulation, and gaming as well as those involved in statistical and psychometric process modelling. This book seeks to channel this expertise towards advances in the measurement and assessment of cognitive and non-cognitive skills of individuals and teams.
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Keywords
- Educational collaboration
- Measuring collaboration skills
- Organizational teaming
- Statistical and psychometric process modelling
- Teamwork and collaborative problem solving
- 21st Century skills
- Computational psychometrics
- Multimodal analytics
- Dynamic models
- Brain imaging
- Affectuing computing
- Crosscultural assessment
- Stochastic processes
- Data mining
Table of contents (20 chapters)
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Front Matter
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Framework and Methods
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Front Matter
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Modeling and Analysis
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Front Matter
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Reviews
“The value of this volume is in the cross-disciplinary snapshot of the research on assessment of collaboration. The editors should be applauded for culling ideas from a variety of disciplines that would otherwise not be cross-referenced. … the references inside this volume would be an ideal starting point for anyone working in either education or IO psychology, but who is new to the assessment of collaboration.” (Tyler H. Matta, Psychometrika, Vol. 83, 2018)
"The ability to understand the states, traits, and habits of individual learners, collaborative groups, or team is a necessary prerequisite to guiding, adapting, and optimizing instructional experiences. The modeling and assessment of learners interacting with peers, human instructors, or computer-based tutors provides a window into the effectiveness of instructional tools and methods that is needed to continuously improve their learning experiences. Any action taken by the tutor/teacher/instructor without knowledge of those being taught is a shot in the dark. We applaud those who dedicate their lives to helping us solve the hard problems that will turn on the light and allow us to easily tailor learning experiences for every person." (Robert Sottilare, Ph.D., US Army Research Laboratory, Adaptive Training Scientist)
Editors and Affiliations
Bibliographic Information
Book Title: Innovative Assessment of Collaboration
Editors: Alina A. von Davier, Mengxiao Zhu, Patrick C. Kyllonen
Series Title: Methodology of Educational Measurement and Assessment
DOI: https://doi.org/10.1007/978-3-319-33261-1
Publisher: Springer Cham
eBook Packages: Education, Education (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-33259-8Published: 10 April 2017
Softcover ISBN: 978-3-319-81469-8Published: 17 July 2018
eBook ISBN: 978-3-319-33261-1Published: 04 April 2017
Series ISSN: 2367-170X
Series E-ISSN: 2367-1718
Edition Number: 1
Number of Pages: XIX, 330
Number of Illustrations: 30 b/w illustrations, 42 illustrations in colour
Topics: Assessment, Testing and Evaluation, Statistics for Social Sciences, Humanities, Law, Industrial and Organizational Psychology, Image Processing and Computer Vision, Computational Linguistics, Psychometrics