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Seamless Learning
This book introduces readers to the latest state of research and development in seamless learning. It consolidates various approaches to and practices in seamless learning from a range of techno-pedagogical, socio-situated and socio-cultural perspectives. Further, it details our current understanding of learning in both formal and informal settings, crossover learning, incidental learning, and context-based learning approaches, together with these aspects’ linkages to the notion of seamlessness. The book is divided into sections addressing the theorization of seamless learning, understanding informal learning, research methodological issues, technology-enabled seamless learning and real-world applications of seamless learning.
Effective Mathematics Teaching from Teachers' Perspectives
What is effective mathematics teaching? This book represents the first purposeful cross-cultural collection of studies to answer this question from teachers’ perspectives. It focuses particularly on how teachers view effective teaching of mathematics. Teachers’ voices are heard and celebrated throughout the studies reported in this volume. These studies are drawn from many parts of the world representing both Eastern and Western cultural traditions. The editors and authors have deliberately included the views of teachers and educators from different cultural backgrounds, taking into account that beliefs on effective mathematics teaching and its features are highly influenced by one’s own culture. The book will provide readers and scholars with the stimulus to take the ideas presented and expand on them in ways that help improve mathematics education for children, teachers and researchers in both the East and the West.
Mapping Biology Knowledge
Author: K. Fisher
language: en
Publisher: Springer Science & Business Media
Release Date: 2000-10-31
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.