Handbook of Research on Science Learning Progressions (Paperback, 1)

1.?An Introduction to Science Learning Progression Research??Section 1: Learning Progression Theories and Methodologies??2. Cognitive Foundations of Science Learning Progressions? 3.?On the Critiques of the Learning Progression Research? 4. Validity of learning progressions? 5. Development and Validation of Knowledge-In-Use Learning Progressions? 6. Coordinating Assessments with a Learning Progression? 7. Learning Progression Approaches Used in Germany? 8. Learning Progression Approaches Used in China? 9. Implications of Mathematics Learning Trajectories for Science Education? 10. Commentary: Perspectives on Learning Progression Theories and Methodologies??Section?2: Learning Progressions to Promote Student Learning??11. Learning Progressions in Genetics? 12.?Developing Three-Dimensional Learning Progressions of Energy, Interaction, and Matter at Middle School Level: A Design-Based Research? 13.?Rethinking Learning Progression for Energy? 14. Geology & Earth Systems Sciences Learning Progressions? 15. Supporting Curriculum Development with a Learning Progression for Matter-tracing Investigations? 16. Using a Learning Progression to Assess and Scaffold Students’ Explanations of Carbon-transforming Processes? 17. Commentary: Reflection on the Learning Progression Approach to Promoting Student Learning??Section 3: Curriculum, Instruction, and Teacher Learning??18.?Key Components of Learning Progression-Based Educative Curriculum Materials Designed to Support Teachers and Their Diverse Students? 19. Crosscutting Concepts and Learning Progressions? 20. Science Teacher Educators and Science Teacher Learning Progressions: Resource, Roadmap, and Representation? 21. Learning progressions as supports for teachers' formative assessment practices? 22. Using learning progressions in professional development programs? 23. Learning Progressions and Youths’ Rightful Presence in Science? 24. Commentary: Implications of Teachers’ Learning and Use of Learning Progressions??Section 4: Applications of Innovative Technology and Artificial Intelligence to Support Learning Progressions??25. Dynamic Bayesian Models for Learning Progressions? 26. The Application of Automated Scoring Technology in Learning Progression Assessment? 27. Integrating Artificial Intelligence into Learning Progression to Support Student Knowledge-in-Use: Opportunities and Challenges? 28. Using an AI-based dashboard to help teachers support students’ learning progressions for science practices? 29. Commentary: The role of technology in science learning progression? ? ? ? ? ? ? ? ?

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