Introduction: Reconstructing Democratic Equality in Data Technology from Paper Records to Artificial Intelligence

Part 1: Data Equality
1. Data Hierarchy, Technological Neutrality, and Algorithmic Fairness: Some Obstacles
2. Data Equality in Social Structure: An Opening

Part 2: Equality
3. Structural Equality: A Pragmatist Account of Democratic Equality
4. A Conceptual Anatomy of Equal Treatment: Equitable Entry + Fair Processing

Part 3: Data
5. Structural Data: Formats + Algorithms
6. Format Anatomies: A Methodology for Dissecting Data

Part 4: Democratic Equality in Education Data
7. Artificial Intelligence for Personalized Learning: An Anatomy of Learner-Model Formats
8. Collaboration versus Personalization in Democratic Education: Evaluating Equality in Learner Data

Conclusion: Becoming Data Equals

Acknowledgments
Notes
Bibliography
Index