Products related to Quantification:
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Teaching, Tutoring and Training in the Lifelong Learning Sector
This core text provides comprehensive support for pre-service and in-service trainee teachers in the Lifelong Learning Sector covering all they need to know to achieve QTLS status. Supporting trainees through all stages of their professional development, the text takes the reader through the theoretical background underpinning teaching and learning and offers practical guidance on day-to-day challenges. This fourth edition has been fully revised and updated and includes a new chapter on teaching practice with notes on observation and lesson planning.New information on behaviour management has been added to support trainees in an aspect of teaching that many find challenging.
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Fluorescence Imaging and Biological Quantification
This comprehensive reference work details the latest developments in fluorescence imaging and related biological quantification.It explores the most recent techniques in this imaging technology through the utilization and incorporation of quantification analysis which makes this book unique.It also covers super resolution microscopy with the introduction of 3D imaging and high resolution fluorescence.Many of the chapter authors are world class experts in this medical imaging technology.
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Computer Science Education : Perspectives on Teaching and Learning in School
Drawing together the most up-to-date research from experts all across the world, the second edition of Computer Science Education offers the most up-to-date coverage available on this developing subject, ideal for building confidence of new pre-service and in-service educators teaching a new discipline.It provides an international overview of key concepts, pedagogical approaches and assessment practices. Highlights of the second edition include:- New sections on machine learning and data-driven (epistemic) programming- A new focus on equity and inclusion in computer science education- Chapters updated throughout, including a revised chapter on relating ethical and societal aspects to knowledge-rich aspects of computer science education- A new set of chapters on the learning of programming, including design, pedagogy and misconceptions- A chapter on the way we use language in the computer science classroom. The book is structured to support the reader with chapter outlines, synopses and key points.Explanations of key concepts, real-life examples and reflective points keep the theory grounded in classroom practice. The book is accompanied by a companion website, including online summaries for each chapter, 3-minute video summaries by each author and an archived chapter on taxonomies and competencies from the first edition.
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The Complexity of Human Rights : From Vernacularization to Quantification
This book provides the first systematic assessment from a human rights law perspective of the landmark contributions of the renowned legal anthropologist, Sally Engle Merry. What impact does over-simplification have on human rights debates?The understandable tendency to present them as a single, universal, and immutable concept ignores their complexity and by extension only serves to weaken them. Merry and her colleagues transformed human rights thinking by highlighting the process of ‘vernacularization’, which sees rights discourse as being unavoidably dependent upon translation and interpretation.She also warned of the pitfalls of excessive reliance upon statistical and other indicators, through the process of quantification.Here the leading voices in the field assess the significance of these contributions.
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How is the quantification of mathematical statements done?
Quantification of mathematical statements is done using quantifiers such as "for all" (∀) and "there exists" (∃). The symbol ∀ is used to indicate that a statement is true for all elements in a set, while the symbol ∃ is used to indicate that there exists at least one element in a set for which the statement is true. These quantifiers help to make precise and formal statements about mathematical properties and relationships. By using quantifiers, mathematicians can express universal and existential statements in a clear and unambiguous way.
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What is the detection limit or limit of quantification?
The detection limit is the lowest concentration of a substance that can be reliably detected but not necessarily quantified. It is typically defined as the concentration at which the signal is distinguishable from the background noise. The limit of quantification, on the other hand, is the lowest concentration of a substance that can be accurately measured and quantified with a known level of certainty. It is usually higher than the detection limit and is determined by the precision and accuracy of the analytical method being used.
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Should one learn teaching before teaching learning?
It is important to have a solid understanding of teaching methods and strategies before embarking on the journey of teaching others. Learning how to effectively communicate information, engage students, and assess their understanding are essential skills that can be acquired through formal education or training in teaching. By learning teaching techniques first, one can better support the learning process and create a more effective and engaging learning environment for their students.
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What further education opportunities are available for elementary school teaching?
Elementary school teachers have a variety of further education opportunities available to them. They can pursue a master's degree in education or a related field to deepen their knowledge and skills in teaching. Additionally, they can pursue specialized certifications or endorsements in areas such as special education, English as a second language, or literacy instruction. Professional development workshops, conferences, and online courses also provide opportunities for elementary school teachers to continue their education and stay current with best practices in the field.
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Limits of the Numerical : The Abuses and Uses of Quantification
This collection examines the uses of quantification in climate science, higher education, and health. Numbers are both controlling and fragile. They drive public policy, figuring into everything from college rankings to vaccine efficacy rates.At the same time, they are frequent objects of obfuscation, manipulation, or outright denial.This timely collection by a diverse group of humanists and social scientists challenges undue reverence or skepticism toward quantification and offers new ideas about how to harmonize quantitative with qualitative forms of knowledge. Limits of the Numerical focuses on quantification in several contexts: climate change; university teaching and research; and health, medicine, and well-being more broadly.This volume shows the many ways that qualitative and quantitative approaches can productively interact—how the limits of the numerical can be overcome through equitable partnerships with historical, institutional, and philosophical analysis.The authors show that we can use numbers to hold the powerful to account, but only when those numbers are themselves democratically accountable.
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Interpretive Quantification : Methodological Explorations for Critical and Constructivist IR
Countering the growing divide between positivists who embrace quantitative, numerical approaches and post-positivist scholars who favor qualitative, interpretive approaches, J.Samuel Barkin and Laura Sjoberg argue that both methods are more widely adaptable than is commonly assumed by either camp. In Interpretive Quantification, ten highly regarded scholars in the field of International Relations apply quantitative methods and formal models to specific constructivist and critical research questions.In this way, each chapter serves not only as evidence that methods can productively be applied across paradigms, but also as a guide as to how this may be done.In sum, the contributors make a compelling case that when researchers cordon off particular methods for merely ideological reasons, they circumscribe their own paradigms and hinder their own research agenda.
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The Metric Society : On the Quantification of the Social
In today’s world, numbers are in the ascendancy. Societies dominated by star ratings, scores, likes and lists are rapidly emerging, as data are collected on virtually every aspect of our lives.From annual university rankings, ratings agencies and fitness tracking technologies to our credit score and health status, everything and everybody is measured and evaluated. In this important new book, Steffen Mau offers a critical analysis of this increasingly pervasive phenomenon.While the original intention behind the drive to quantify may have been to build trust and transparency, Mau shows how metrics have in fact become a form of social conditioning.The ubiquitous language of ranking and scoring has changed profoundly our perception of value and status.What is more, through quantification, our capacity for competition and comparison has expanded significantly – we can now measure ourselves against others in practically every area.The rise of quantification has created and strengthened social hierarchies, transforming qualitative differences into quantitative inequalities that play a decisive role in shaping the life chances of individuals. This timely analysis of the pernicious impact of quantification will appeal to students and scholars across the social sciences, as well as anyone concerned by the cult of numbers and its impact on our lives and societies today.
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Uncertainty Quantification in Variational Inequalities : Theory, Numerics, and Applications
Uncertainty Quantification (UQ) is an emerging and extremely active research discipline which aims to quantitatively treat any uncertainty in applied models.The primary objective of Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications is to present a comprehensive treatment of UQ in variational inequalities and some of its generalizations emerging from various network, economic, and engineering models.Some of the developed techniques also apply to machine learning, neural networks, and related fields. Features First book on UQ in variational inequalities emerging from various network, economic, and engineering models Completely self-contained and lucid in style Aimed for a diverse audience including applied mathematicians, engineers, economists, and professionals from academia Includes the most recent developments on the subject which so far have only been available in the research literature
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What is the difference between teaching special education and teaching special education?
Teaching special education involves working with students who have various learning disabilities or special needs, providing individualized instruction and support to help them succeed academically. On the other hand, teaching special education involves focusing on a specific area within special education, such as teaching students with autism, emotional or behavioral disorders, or intellectual disabilities. Both roles require specialized training and a deep understanding of how to best support students with diverse learning needs.
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Does using an iPad help with learning in school or in teaching?
Using an iPad can be beneficial for learning in school and teaching. It provides access to a wide range of educational apps, digital textbooks, and interactive learning resources that can enhance the learning experience. Additionally, the portability and versatility of the iPad make it a valuable tool for teachers to create engaging lesson plans and deliver dynamic presentations. The use of iPads can also promote collaboration and creativity in the classroom, making learning more interactive and enjoyable for students.
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Is school education part of vocational training?
School education is not typically considered part of vocational training. Vocational training focuses on providing specific skills and knowledge related to a particular trade or profession, while school education is more broad and general in nature, covering a wide range of subjects. However, some vocational training programs may include elements of traditional school education, such as math or language skills, to support the specific vocational training being provided.
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'Art education or teaching degree?'
Deciding between an art education or teaching degree depends on your career goals. An art education degree focuses on teaching art specifically, while a teaching degree provides a broader education background that can be applied to various subjects. If you are passionate about teaching art and want to specialize in that area, an art education degree may be the best choice. However, if you are interested in teaching multiple subjects or exploring different teaching opportunities, a teaching degree may be more suitable. Ultimately, consider your interests and career aspirations to determine which degree aligns best with your goals.
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