This book describes advances in understanding the nature of science learning and their implications for the design of science instruction, showing how design patterns, design principles, and professional development opportunities coalesce to create and sustain effective instruction.
This book describes advances in understanding the nature of science learning and their implications for the design of science instruction, showing how design patterns, design principles, and professional development opportunities coalesce to create and sustain effective instruction.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Marcia C. Linn is a professor of development and cognition specializing in education in mathematics, science, and technology in the Graduate School of Education at the University of California, Berkeley. Bat-Sheva Eylon is a professor at the Science Teaching Department at the Weizmann Institute of Science, Israel. She specializes in learning, instruction, and professional development of physics and science teachers. She holds the Chief Justice Bora Laskin Chair of Science Teaching.
Inhaltsangabe
Chapter 1 Introduction and Overview Chapter 2 Typical Instructional Patterns Chapter 3 Transforming Science Instruction with Technology: A Thermodynamics Case Study Chapter 4 Particulate Structure of Matter: A Case Study Chapter 5 Knowledge Integration Principles and Patterns Chapter 6 Lectures and Technology Chapter 7 Experimentation and Knowledge Integration Chapter 8 Making Visualizations Valuable Chapter 9 Collaboration for Knowledge Integration Chapter 10 Professional Development for Knowledge Integration Chapter 11 The Case for Knowledge Integration
Chapter 1 Introduction and Overview Chapter 2 Typical Instructional Patterns Chapter 3 Transforming Science Instruction with Technology: A Thermodynamics Case Study Chapter 4 Particulate Structure of Matter: A Case Study Chapter 5 Knowledge Integration Principles and Patterns Chapter 6 Lectures and Technology Chapter 7 Experimentation and Knowledge Integration Chapter 8 Making Visualizations Valuable Chapter 9 Collaboration for Knowledge Integration Chapter 10 Professional Development for Knowledge Integration Chapter 11 The Case for Knowledge Integration
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