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Imunologia na sala de aula | Immunology in the classroom | Inmunología en el aula
O E-book “Imunologia na sala de aula: sequências de ensino” é o resultado dos esforços de um grupo de educadores e imunologistas na contribuição pela aproximação entre educação e pesquisa em imunologia. O ebook composto por 14 capítulos redigidos por pesquisadores de várias regiões do Brasil. Boa leitura! The E-book “Immunology in the Classroom: Teaching Sequences” is the result of the efforts of a group of educators and immunologists to contribute to bringing education and research in immunology together. The ebook consists of 14 chapters written by researchers from various regions of Brazil. Good reading! El E-book “Inmunología en el aula: secuencias didácticas” es el resultado del esfuerzo de un grupo de educadores e inmunólogos en la contribución a la aproximación entre la enseñanza y la investigación en inmunología. El libro electrónico consta de 14 capítulos escritos por investigadores de varias regiones de Brasil. ¡Buena lectura!
Imunologia na sala de aula | Immunology in the classroom
O E-book “Imunologia na sala de aula: sequências de ensino” é o resultado dos esforços de um grupo de educadores e imunologistas na contribuição pela aproximação entre educação e pesquisa em imunologia. O ebook composto por 14 capítulos redigidos por pesquisadores de várias regiões do Brasil. Boa leitura! The E-book “Immunology in the Classroom: Teaching Sequences” is the result of the efforts of a group of educators and immunologists to contribute to bringing education and research in immunology together. The ebook consists of 14 chapters written by researchers from various regions of Brazil. Good reading!
Basic and Clinical Immunology
The focus of this text is on the human immunology required by students to understand and treat common immunological diseases - animal research is included only where essential for an understanding of the subject.
Reconceptualizing STEM Education
Reconceptualizing STEM Education explores and maps out research and development ideas and issues around five central practice themes: Systems Thinking; Model-Based Reasoning; Quantitative Reasoning; Equity, Epistemic, and Ethical Outcomes; and STEM Communication and Outreach. These themes are aligned with the comprehensive agenda for the reform of science and engineering education set out by the 2015 PISA Framework, the US Next Generation Science Standards and the US National Research Council’s A Framework for K-12 Science Education. The new practice-focused agenda has implications for the redesign of preK-12 education for alignment of curriculum-instruction-assessment; STEM teacher education and professional development; postsecondary, further, and graduate studies; and out-of-school informal education. In each section, experts set out powerful ideas followed by two eminent discussant responses that both respond to and provoke additional ideas from the lead papers. In the associated website highly distinguished, nationally recognized STEM education scholars and policymakers engage in deep conversations and considerations addressing core practices that guide STEM education.
The Immune Self
The Immune Self is the first extended philosophical critique of immunology.
War
A Boston Globe-Horn Book Honor Book An award-winning, stunningly illustrated, sober depiction of war. A recipient of the prestigious Nami Concours prize, this remarkable book of striking, often surreal illustrations and sparse prose reveals the many sides of war: where it comes from, how it creeps up on us, and how it destroys everything in its wake. This evocative and bold work is an excellent resource for educators in facilitating difficult yet necessary discussions about wars that continue to be fought around the world. As Deborah Ellis, author of the Breadwinner series, says: “If children are tough enough to be bombed and starved, they’re tough enough to read about it.” An Aldana Libros Book, Greystone Kids
Pattern Recognition and Machine Learning
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
