Handbook of Research on Science Learning Progressions (eBook, ePUB)

Redaktion: Jin, Hui; Krajcik, Joseph; Yan, Duanli

• Format: ePub

Produktbeschreibung

Gathering contributions from leading scholars around the world, this handbook offers a comprehensive resource on the most recent advances in research surrounding the theories, methodologies, and applications of science learning progressions.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 552
• Erscheinungstermin: 30. Juli 2024
• Englisch
• ISBN-13: 9781040042168
• Artikelnr.: 72246747

Autorenporträt

Hui Jin is an associate professor of science education at Georgia Southern University, USA. Duanli Yan is the Director of Computational Research at ETS and adjunct professor at Fordham University, USA. Joseph Krajcik directs the CREATE for STEM Institute and is a University Distinguished Professor at Michigan State University, USA.

Inhaltsangabe

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