Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment: With Examples in R and Python (Hardcover, 2021)

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

8. Data science perspectives

Jiangang Hao and Robert Mislevy

9. Supervised machine learning

Jiangang Hao

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