Description
Book Synopsis1. Introduction.- Section I. Complex systems in education.- 2. Basics of complex systems.- 3. Advanced Applications of Psychological Network.- 4. Complex networks.- 5. Dynamics of Complex systems.- Section II. Advanced predictive analytics and explainable AI.- 6. Introduction to advanced predictive analytics and explainable AI.- 7. Predictive analytics with explainable AI.- 8. Individualized Instance level explainable AI for educational data.- 9. Automatic explainable machine learning for education applications.- 10. A tutorial on penalized regression methods to Identify key factors relevant to students' learning performance.- 11. Advanced Clustering with explanatory covariates.- 12. An introduction to person-specific methods and precision education.- 13. Idiographic Single Subject Explainable Artificial Intelligence.- 14. Individualized analytics for the learning process.- 15. The Application of NLP to Learning Analytics.
