This is a comprehensive field guide for school professionals learning to use data. Requiring no prior proficiency in data tools and programming, this book validates the implicit challenges of learning to use data to empower educators and features original real-world examples from in-service educators to illustrate common problem-solving.
This is a comprehensive field guide for school professionals learning to use data. Requiring no prior proficiency in data tools and programming, this book validates the implicit challenges of learning to use data to empower educators and features original real-world examples from in-service educators to illustrate common problem-solving.
Ryan Estrellado is an author and educator. He is the author of the book The K-12 Educator's Data Guidebook: Reimagining Practical Data Use in Schools, in which he humanizes, challenges, and reframes how data is used in education. He is a co-author of Data Science in Education Using R, an innovative open-source book about learning data science using real-life education data. Ryan has over twenty years of experience in public education. He is an alumnus of the Strategic Data Project, a project of the Center for Education Policy Research at Harvard University.
Inhaltsangabe
Part 1: You and Data: A Relationship 1. Discovering Your Data Gifts 2. Why Tests Aren't Enough 3. Rewriting Your Data Story 4. Time is the Problem Part 2: Your Data Field Guide 5. Charts 6. Tables 7. Student-Level Data 8. Accountability Data Part 3: Process Made Practical 9. Using Data Questions 10. Practical Is Personal 11. Reflect and Revise Part 4: A New Direction 12. When Intuition and Data Meet 13. Go Deep, Go Wide, Go Out
Part 1: You and Data: A Relationship 1. Discovering Your Data Gifts 2. Why Tests Aren't Enough 3. Rewriting Your Data Story 4. Time is the Problem Part 2: Your Data Field Guide 5. Charts 6. Tables 7. Student-Level Data 8. Accountability Data Part 3: Process Made Practical 9. Using Data Questions 10. Practical Is Personal 11. Reflect and Revise Part 4: A New Direction 12. When Intuition and Data Meet 13. Go Deep, Go Wide, Go Out
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