Ebook: Mapping Biology Knowledge
- Tags: Science Education, Learning & Instruction, Cognitive Psychology, Software Engineering/Programming and Operating Systems
- Series: Science & Technology Education Library 11
- Year: 2002
- Publisher: Springer Netherlands
- Edition: 1
- Language: English
- pdf
Mapping Biology Knowledge addresses two key topics in the context of biology, promoting meaningful learning and knowledge mapping as a strategy for achieving this goal. Meaning-making and meaning-building are examined from multiple perspectives throughout the book. In many biology courses, students become so mired in detail that they fail to grasp the big picture. Various strategies are proposed for helping instructors focus on the big picture, using the `need to know' principle to decide the level of detail students must have in a given situation. The metacognitive tools described here serve as support systems for the mind, creating an arena in which learners can operate on ideas. They include concept maps, cluster maps, webs, semantic networks, and conceptual graphs. These tools, compared and contrasted in this book, are also useful for building and assessing students' content and cognitive skills. The expanding role of computers in mapping biology knowledge is also explored.
Mapping Biology Knowledge addresses two key topics in the context of biology, promoting meaningful learning and knowledge mapping as a strategy for achieving this goal. Meaning-making and meaning-building are examined from multiple perspectives throughout the book. In many biology courses, students become so mired in detail that they fail to grasp the big picture. Various strategies are proposed for helping instructors focus on the big picture, using the `need to know' principle to decide the level of detail students must have in a given situation. The metacognitive tools described here serve as support systems for the mind, creating an arena in which learners can operate on ideas. They include concept maps, cluster maps, webs, semantic networks, and conceptual graphs. These tools, compared and contrasted in this book, are also useful for building and assessing students' content and cognitive skills. The expanding role of computers in mapping biology knowledge is also explored.
Mapping Biology Knowledge addresses two key topics in the context of biology, promoting meaningful learning and knowledge mapping as a strategy for achieving this goal. Meaning-making and meaning-building are examined from multiple perspectives throughout the book. In many biology courses, students become so mired in detail that they fail to grasp the big picture. Various strategies are proposed for helping instructors focus on the big picture, using the `need to know' principle to decide the level of detail students must have in a given situation. The metacognitive tools described here serve as support systems for the mind, creating an arena in which learners can operate on ideas. They include concept maps, cluster maps, webs, semantic networks, and conceptual graphs. These tools, compared and contrasted in this book, are also useful for building and assessing students' content and cognitive skills. The expanding role of computers in mapping biology knowledge is also explored.
Content:
Front Matter....Pages i-v
Introduction....Pages 1-3
Overviee of Knowledge Mapping....Pages 5-23
The Nature of Biology Knowledge....Pages 25-37
Knowing Biology....Pages 39-54
Student Misconceptions in Biology....Pages 55-75
Meaningful and Mindful Learning....Pages 77-94
Language, Analogy, and Biology....Pages 95-108
Using Concept Circle Diagramming as a Knowledge Mapping Tool....Pages 109-126
Using Concept Mapping as a Knowledge Mapping Tool....Pages 127-142
SemNet® Semantic Networking....Pages 143-165
The Paradox of the Textbook....Pages 167-184
Back Matter....Pages 185-215
Mapping Biology Knowledge addresses two key topics in the context of biology, promoting meaningful learning and knowledge mapping as a strategy for achieving this goal. Meaning-making and meaning-building are examined from multiple perspectives throughout the book. In many biology courses, students become so mired in detail that they fail to grasp the big picture. Various strategies are proposed for helping instructors focus on the big picture, using the `need to know' principle to decide the level of detail students must have in a given situation. The metacognitive tools described here serve as support systems for the mind, creating an arena in which learners can operate on ideas. They include concept maps, cluster maps, webs, semantic networks, and conceptual graphs. These tools, compared and contrasted in this book, are also useful for building and assessing students' content and cognitive skills. The expanding role of computers in mapping biology knowledge is also explored.
Content:
Front Matter....Pages i-v
Introduction....Pages 1-3
Overviee of Knowledge Mapping....Pages 5-23
The Nature of Biology Knowledge....Pages 25-37
Knowing Biology....Pages 39-54
Student Misconceptions in Biology....Pages 55-75
Meaningful and Mindful Learning....Pages 77-94
Language, Analogy, and Biology....Pages 95-108
Using Concept Circle Diagramming as a Knowledge Mapping Tool....Pages 109-126
Using Concept Mapping as a Knowledge Mapping Tool....Pages 127-142
SemNet® Semantic Networking....Pages 143-165
The Paradox of the Textbook....Pages 167-184
Back Matter....Pages 185-215
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