Anyone involved in science education will find that this text can enhance their pedagogical practice. It describes new, model-based teaching methods that integrate social and cognitive perspectives for science instruction. It presents research that describes how these new methods are applied in a diverse group of settings, including middle school biology, high school physics, and college chemistry classrooms. They offer practical tips for teaching the toughest of key concepts.

This book argues that modelling should be a component of all school curricula that aspire to provide ‘authentic science education for all’. The literature on modelling is reviewed and a ‘model of modelling’ is proposed. The conditions for the successful implementation of the ‘model of modelling’ in classrooms are explored and illustrated from practical experience. The roles of argumentation, visualisation, and analogical reasoning, in successful modelling-based teaching are reviewed. The contribution of such teaching to both the learning of key scientific concepts and an understanding of the nature of science are established. Approaches to the design of curricula that facilitate the progressive grasp of the knowledge and skills entailed in modelling are outlined. Recognising that the approach will both represent a substantial change from the ‘content-transmission’ approach to science teaching and be in accordance with current best-practice in science education, the design of suitable approaches to teacher education are discussed. Finally, the challenges that modelling-based education pose to science education researchers, advanced students of science education and curriculum design, teacher educators, public examiners, and textbook designers, are all outlined.

Socioscientific issues require individuals to use moral and ethical considerations to help in their evaluation of evidence and decision making, entailing controversial scientific phenomena. Such issues include genetic engineering and biotechnology. Socioscientific issues pedagogy has the potential to enhance students’ overall conceptual understanding of scientific phenomena that affect the daily lives of people across the globe. Socioscientific Issues-Based Instruction for Scientific Literacy Development is a critical scholarly publication that examines the development of a research-based integrated socioscientific issues pedagogy for use in the K-12 system, teacher education preparation, and informal education centers. The publication focuses on science education researchers and pre-service and in-service teachers’ abilities to design and implement meaningful learning opportunities for students to use rationalistic, intuitive, and emotive perspectives as they engage in information reasoning on scientific topics, such as climate change and CRISPR, that are of utmost importance. Teachers in the K-12 system and informal education settings will be able to use this text to enhance scientific literacy among their students. Instructors in teacher preparation programs will be able to use this research-based text to improve pre-service and in-service teachers’ abilities to use socioscientific issues pedagogy to enhance scientific literacy among K-12 students. Additionally, audiences including researchers, administrators, academicians, policymakers, and students will find this book beneficial for their studies.

Humans perceive the world by constructing mental modelsOCotelling a story, interpreting a map, reading a book. Every way we interact with the world involves mental models, whether creating new ones or building on existing models with the introduction of new information. In Models-Based Science Teaching, author and educator Steven Gilbert explores the concept of mental models in relation to the learning of science, and how we can apply this understanding when we teach science."

Teaching Science in Elementary and Middle School offers in-depth information about the fundamental features of project-based science and strategies for implementing the approach. In project-based science classrooms students investigate, use technology, develop artifacts, collaborate, and make products to show what they have learned. Paralleling what scientists do, project-based science represents the essence of inquiry and the nature of science. Because project-based science is a method aligned with what is known about how to help all children learn science, it not only helps students learn science more thoroughly and deeply, it also helps them experience the joy of doing science. Project-based science embodies the principles in A Framework for K-12 Science Education and the Next Generation Science Standards. Blending principles of learning and motivation with practical teaching ideas, this text shows how project-based learning is related to ideas in the Framework and provides concrete strategies for meeting its goals. Features include long-term, interdisciplinary, student-centered lessons; scenarios; learning activities, and "Connecting to Framework for K–12 Science Education" textboxes. More concise than previous editions, the Fourth Edition offers a wealth of supplementary material on a new Companion Website, including many videos showing a teacher and class in a project environment.

Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.