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© 2017

Innovative Assessment of Collaboration

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

Book

Table of contents

  1. Front Matter
    Pages i-xix
  2. Patrick C. Kyllonen, Mengxiao Zhu, Alina A. von Davier
    Pages 1-18
  3. Framework and Methods

    1. Front Matter
      Pages 19-19
    2. Eduardo Salas, Denise L. Reyes, Amanda L. Woods
      Pages 21-36
    3. Arthur C. Graesser, Nia Dowell, Danielle Clewley
      Pages 65-80
    4. Carolyn Penstein Rosé, Iris Howley, Miaomiao Wen, Diyi Yang, Oliver Ferschke
      Pages 81-94
    5. Qiwei He, Matthias von Davier, Samuel Greiff, Eric W. Steinhauer, Paul B. Borysewicz
      Pages 95-111
    6. Jennifer K. Olsen, Vincent Aleven, Nikol Rummel
      Pages 157-172
    7. C. Shawn Burke, Jennifer Feitosa, Eduardo Salas, Michele Gelfand
      Pages 185-207
    8. Markku T. Hakkinen, Jason J. G. White
      Pages 209-220
  4. Modeling and Analysis

    1. Front Matter
      Pages 221-221
    2. Peter F. Halpin, Alina A. von Davier
      Pages 233-247
    3. Yoav Bergner, Erin Walker, Amy Ogan
      Pages 249-268

About this book

Introduction

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.

 

“ 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)

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

Editors and affiliations

  • Alina A. von Davier
    • 1
  • Mengxiao Zhu
    • 2
  • Patrick C. Kyllonen
    • 3
  1. 1.ACT Iowa CityUSA
  2. 2.Research and Development DivisionEducational Testing ServicePrincetonUSA
  3. 3.Research and Development DivisionEducational Testing ServicePrincetonUSA

Bibliographic information

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)