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This book synthesizes a wealth of international research on the critical topic of ‘fostering understanding of complex systems in biology education’. Complex systems are prevalent in many scientific fields, and at all scales, from the micro scale of a single cell or molecule to complex systems at the macro scale such as ecosystems. Understanding the complexity of natural systems can be extremely challenging, though crucial for an adequate understanding of what they are and how they work. The term “systems thinking” has become synonymous with developing a coherent understanding of complex biological processes and phenomena. For researchers and educators alike, understanding how students’ systems thinking develops is an essential prerequisite to develop and maintain pedagogical scaffolding that facilitates students’ ability to fully understand the system’s complexity. To that end, this book provides researchers and teachers with key insights from the current research community on how to support learners systems thinking in secondary and higher education. Each chapter in the book elaborates on different theoretical and methodological frameworks pertaining to complexity in biology education and a variety of biological topics are included from genetics, photosynthesis, and the carbon cycle to ecology and climate change. Specific attention is paid to design elements of computer-based learning environments to understand complexity in biology education.
Understanding the complexity of the natural world and making sense of phenomena is one of the main goals of science and science education. When investigating complex phenomena, such as climate change or pandemic outbreaks, students are expected to engage in systems thinking by considering the boundaries of the investigated system, identifying the relevant components and their interactions, and exploring system attributes such as hierarchical organization, dynamicity, feedback loops, and emergence. Scientific models are tools that support students’ reasoning and understanding of complex systems, and students are expected to develop their modeling competence and to engage in the modeling process by constructing, testing, revising, and using models to explain and predict phenomena. Computational modeling tools, for example, provide students with the opportunity to explore big data, run simulations and investigate complex systems. Therefore, both systems thinking and modeling approaches are important for science education when investigating complex phenomena.
Volume III of this landmark synthesis of research offers a comprehensive, state-of-the-art survey highlighting new and emerging research perspectives in science education. Building on the foundations set in Volumes I and II, Volume III provides a globally minded, up-to-the-minute survey of the science education research community and represents the diversity of the field. Each chapter has been updated with new research and new content, and Volume III has been further developed to include new and expanded coverage on astronomy and space education, epistemic practices related to socioscientific issues,design-based research, interdisciplinary and STEM education, inclusive science education, and the global impact of nature of science and scientific inquiry literacy. As with the previous volumes, Volume III is organized around six themes: theory and methods of science education research; science learning; diversity and equity; science teaching; curriculum and assessment; and science teacher education. Each chapter presents an integrative review of the research on the topic it addresses, pulling together the existing research, working to understand historical trends and patterns in that body of scholarship, describing how the issue is conceptualized within the literature, how methods and theories have shaped the outcomes of the research, and where the strengths, weaknesses, and gaps are in the literature. Providing guidance to science education faculty, scholars, and graduate students, and pointing towards future directions of the field, Handbook of Research on Science Education Research, Volume III offers an essential resource to all members of the science education community.
Improving the Relational Space of Curriculum Realisation outlines an approach to intervention that helps educators solve problematic patterns in their networks, leverage resources better within and across school networks, and embed relational conditions that are conducive to ambitious curriculum goals being realised.
The demand for higher education worldwide is booming. Governments want well-educated citizens and knowledge workers but are scrambling for funds. The capacity of the public sector to provide increased and equitable access to higher education is seriously challenged.
This esteemed reference work and professional resource, now substantially revised, integrates classic and cutting-edge research on how children and adolescents make meaning from text. The comprehension tasks and challenges facing students at different grade levels are explored, with attention to multiple text types and reading purposes. Preeminent researchers offer a range of perspectives--cognitive, neuroscientific, sociocultural, pedagogical, and technological--on key aspects of comprehension. Effective approaches to assessment, instruction, and intervention are reviewed. The volume also addresses issues in teaching specific populations, including struggling readers and English language learners. New to This Edition *A decade's worth of significant research advances are reflected in 10 entirely new chapters. *Revised throughout to incorporate new studies and timely topics: the expanding role of technology, changing school populations, the Common Core standards, international research, and more. *Chapters on graphic, scientific, and multiple digital texts. *Chapters on fluency, professional learning, and literacy coaching.
"This edition provides a transformative snapshot of reading comprehension as a field of study at a seminal moment. It maintains the same high level of standards with respect to (1) historical perspectives useful for laying the foundation of study on reading comprehension; (2) theoretical perspectives that allow the reader to consider different views on how specific areas have evolved since the first edition; (3) excellent chapters on various elements of reading comprehension, including major research studies in assessment, cultural impacts of reading comprehension, issues affecting English language learners, and consideration of international populations; and (4) identification of future research needs to help raise important questions and stimulate possible hypotheses for future research"--
The Computer Supported Collaborative Learning (CSCL) Conference 2013 proceedings, Volume 2
This new publication in the Models and Modeling in Science Education series synthesizes a wealth of international research on using multiple representations in biology education and aims for a coherent framework in using them to improve higher-order learning. Addressing a major gap in the literature, the volume proposes a theoretical model for advancing biology educators’ notions of how multiple external representations (MERs) such as analogies, metaphors and visualizations can best be harnessed for improving teaching and learning in biology at all pedagogical levels. The content tackles the conceptual and linguistic difficulties of learning biology at each level—macro, micro, sub-micro, and symbolic, illustrating how MERs can be used in teaching across these levels and in various combinations, as well as in differing contexts and topic areas. The strategies outlined will help students’ reasoning and problem-solving skills, enhance their ability to construct mental models and internal representations, and, ultimately, will assist in increasing public understanding of biology-related issues, a key goal in today’s world of pressing concerns over societal problems about food, environment, energy, and health. The book concludes by highlighting important aspects of research in biological education in the post-genomic, information age.