Data Science in Education Using R

ISBN-13: 9780367422240 / Angielski / Twarda / 2020 / 284 str.

Ryan A. Estrellado; Emily A. Freer; Jesse Mostipak

Opis

This book provides educational analysts and educators with practical tools to start working in data science and data analysis - using the data usefully that is generated by school districts, government agencies, and education businesses.

Spis treści

1. Introduction: Data Science in Education - You’re Invited to the Party!  2. How to Use this Book  3. What Does Data Science in Education Look Like?  4. Special Considerations  5. Getting Started with R and RStudio  6. Foundational Skills  7. Walkthrough 1: The Education Data Science Pipeline with Online Science Class Data  8. Walkthrough 2: Approaching Gradebook Data from a Data Science Perspective  9. Walkthrough 3: Using School-Level Aggregate Data to Illuminate Educational Inequities  10. Walkthrough 4: Longitudinal Analysis with Federal Students with Disabilities Data  11. Walkthrough 5: Text Analysis with Social Media Data  12. Walkthrough 6: Exploring Relationships Using Social Network Analysis with Social Media Data  13. Walkthrough 7: The Role (and Usefulness) of Multilevel Models  14. Walkthrough 8: Predicting Students’ Final Grades Using Machine Learning Methods with Online Course Data  15. Introducing Data Science Tools to Your Education Job  16. Teaching Data Science  17. Learning More  18. Additional Resources  19. Conclusion: Where to Next?