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Author:   Alina A. von Davier ,  Robert J. Mislevy ,  Jiangang Hao
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Weight:   0.626kg
ISBN:  

9783030743932

ISBN 10:   3030743934
Pages:   262
Publication Date:   14 December 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction. Computational Psychometrics: Towards a Principled Integration of Data Science and Machine Learning Techniques into Psychometrics Alina A. von Davier, Robert Mislevy and Jiangang Hao Part I. Conceptualization 2. Next generation learning and assessment: what, why and how Robert Mislevy 3. Computational psychometrics Alina A. von Davier, Kristen DiCerbo and Josine Verhagen 4. Virtual performance-based assessments Jessica Andrews-Todd, Robert Mislevy, Michelle LaMar and Sebastiaan de Klerk 5. Knowledge Inference Models Used in Adaptive Learning Maria Ofelia Z. San Pedro and Ryan S. Baker   Part II. Methodology 6. Concepts and models from Psychometrics Robert Mislevy and Maria Bolsinova 7. Bayesian Inference in Large-Scale Computational Psychometrics Gunter Maris, Timo Bechger and Maarten Marsman 8. Data science perspectives Jiangang Hao and Robert Mislevy 9. Supervised machine learning Jiangang Hao 10. Unsupervised machine learning Pak Chunk Wong 11. AI and deep learning for educational research Yuchi Huang and Saad M. Khan 12. Time series and stochastic processes Peter Halpin, Lu Ou and Michelle LaMar 13. Social network analysis Mengxiao Zhu 14. Text mining and automated scoring Michael Flor and Jiangang Hao

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