Mapping Biology Knowledge (Contemporary Trends and Issues in Science Education)
|Rating||:||4.84 (701 Votes)|
|Number of Pages||:||217 Pages|
wonderful book suitable for the corporate world! Lee Say Keng This is a really wonderful book. I bought this book strictly because I was fascinated by the work of one of the authors, Dr James Wandersee, even though biology is not my cup of tea. By chance, I "strayed" into his web-site, aptly called The 15 Degree Laboratory, while surfing the internet one day. (If you are curious to find out more, go to his web-site.) When I learnt, also by chance, that he had co-authored a book, I ordered it immediately from Amazon.com. Wow! What a gr. "Mapping Biology KnowledgeAn Important Contribution" according to Joel J. Mintzes. Kathleen Fisher, Jim Wandersee and David Moody have put together a very important contribution to our knowledge about knowledge in biology. Their book summarizes some of the most significant work of the past 25 years in science education and cognitive science; work that promises substantial improvement in science teaching and learning at all levels, K-16.Mapping Biology Knowledge, as the name suggests, focuses on the use of graphic organizers and metacognitive tools. The bo
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. 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. 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. They include concept maps, cluster maps, webs, semantic networks, and conceptual graphs.