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OverviewFull Product DetailsAuthor: Alina A. von Davier , Robert J. Mislevy , Jiangang HaoPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2021 Weight: 0.500kg ISBN: 9783030743963ISBN 10: 3030743969 Pages: 262 Publication Date: 15 December 2022 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of Contents1. 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 HaoReviewsAuthor Information
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