Data Science in Education Using R

✍ Scribed by Ryan A. Estrellado , Emily A. Freer

• Publisher: Routledge
• Year: 2021
• Tongue: English
• Leaves: 305
• Category: Library

✦ Table of Contents

Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
Acknowledgments
Preface
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?
Appendices
References
Index