ChemDiscovery Teacher Edition PDF Download
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Author: Olga I. Agapova
Publisher: Kendall Hunt
ISBN: 9780787257682
Category : Chemistry
Languages : en
Pages : 338
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Book Description
Author: Olga I. Agapova
Publisher: Kendall Hunt
ISBN: 9780787257682
Category : Chemistry
Languages : en
Pages : 338
Get Book Here
Book Description
Author: Olga I. Agapova
Publisher: Kendall Hunt
ISBN: 9780787257668
Category : Chemistry
Languages : en
Pages : 250
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Book Description
Author: Olga I. Agapova
Publisher: Kendall Hunt
ISBN: 9780787257675
Category : Chemistry
Languages : en
Pages : 148
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Book Description
Author: John K. Gilbert
Publisher: Springer Science & Business Media
ISBN: 1402036132
Category : Science
Languages : en
Pages : 375
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Book Description
This book addresses key issues concerning visualization in the teaching and learning of science at any level in educational systems. It is the first book specifically on visualization in science education. The book draws on the insights from cognitive psychology, science, and education, by experts from five countries. It unites these with the practice of science education, particularly the ever-increasing use of computer-managed modelling packages.
Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 816
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Book Description
Author: Richard E. Mayer
Publisher: Cambridge University Press
ISBN: 9780521838733
Category : Education
Languages : en
Pages : 688
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Book Description
This 2005 book constitutes comprehensive coverage of research and theory in the field of multimedia learning.
Author: Lionello Pogliani
Publisher: CRC Press
ISBN: 042965989X
Category : Science
Languages : en
Pages : 306
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Book Description
This new volume, Research Methodologies and Practical Applications of Chemistry, presents a detailed analysis of current experimental and theoretical approaches surrounding chemical science. With an emphasis on multidisciplinary as well as interdisciplinary applications, the book extensively reviews fundamental principles and presents recent research to help show logical connections between the theory and application of modern chemistry concepts. It also emphasizes the behavior of materials from the molecular point of view. The burgeoning field of chemistry and chemical science has led to many recent technological innovations and discoveries. Understanding the impact of these technologies on business, science, and industry is an important first step in developing applications for a variety of settings and contexts. The aim of this book is to present research that has transformed this discipline and aided its advancement. The book examines the strengths and future potential of chemical technologies in a variety of industries.
Author: John K. Gilbert
Publisher: Springer Science & Business Media
ISBN: 1402088728
Category : Science
Languages : en
Pages : 369
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Book Description
Chemistry seeks to provide qualitative and quantitative explanations for the observed behaviour of elements and their compounds. Doing so involves making use of three types of representation: the macro (the empirical properties of substances); the sub-micro (the natures of the entities giving rise to those properties); and the symbolic (the number of entities involved in any changes that take place). Although understanding this triplet relationship is a key aspect of chemical education, there is considerable evidence that students find great difficulty in achieving mastery of the ideas involved. In bringing together the work of leading chemistry educators who are researching the triplet relationship at the secondary and university levels, the book discusses the learning involved, the problems that students encounter, and successful approaches to teaching. Based on the reported research, the editors argue for a coherent model for understanding the triplet relationship in chemical education.
Author: J.K. Gilbert
Publisher: Springer Science & Business Media
ISBN: 1402011121
Category : Science
Languages : en
Pages : 434
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Book Description
Chemical education is essential to everybody because it deals with ideas that play major roles in personal, social, and economic decisions. This book is based on three principles: that all aspects of chemical education should be associated with research; that the development of opportunities for chemical education should be both a continuous process and be linked to research; and that the professional development of all those associated with chemical education should make extensive and diverse use of that research. It is intended for: pre-service and practising chemistry teachers and lecturers; chemistry teacher educators; chemical education researchers; the designers and managers of formal chemical curricula; informal chemical educators; authors of textbooks and curriculum support materials; practising chemists and chemical technologists. It addresses: the relation between chemistry and chemical education; curricula for chemical education; teaching and learning about chemical compounds and chemical change; the development of teachers; the development of chemical education as a field of enquiry. This is mainly done in respect of the full range of formal education contexts (schools, universities, vocational colleges) but also in respect of informal education contexts (books, science centres and museums).
Author: Pavlo O. Dral
Publisher: Elsevier
ISBN: 0323886043
Category : Science
Languages : en
Pages : 702
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Book Description
Quantum chemistry is simulating atomistic systems according to the laws of quantum mechanics, and such simulations are essential for our understanding of the world and for technological progress. Machine learning revolutionizes quantum chemistry by increasing simulation speed and accuracy and obtaining new insights. However, for nonspecialists, learning about this vast field is a formidable challenge. Quantum Chemistry in the Age of Machine Learning covers this exciting field in detail, ranging from basic concepts to comprehensive methodological details to providing detailed codes and hands-on tutorials. Such an approach helps readers get a quick overview of existing techniques and provides an opportunity to learn the intricacies and inner workings of state-of-the-art methods. The book describes the underlying concepts of machine learning and quantum chemistry, machine learning potentials and learning of other quantum chemical properties, machine learning-improved quantum chemical methods, analysis of Big Data from simulations, and materials design with machine learning. Drawing on the expertise of a team of specialist contributors, this book serves as a valuable guide for both aspiring beginners and specialists in this exciting field. - Compiles advances of machine learning in quantum chemistry across different areas into a single resource - Provides insights into the underlying concepts of machine learning techniques that are relevant to quantum chemistry - Describes, in detail, the current state-of-the-art machine learning-based methods in quantum chemistry
