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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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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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Linear Algebra and Learning from Data
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Understanding Teaching and Learning in Primary Education
This textbook gives you guidance and insights into the knowledge, values and commitments necessary to succeed in the primary classroom, supported by links to theory and research literature and realistic scenarios you may encounter as a new teacher. Fully updated throughout, key features of this second edition include:· A new chapter on inclusive education· Newly expanded coverage of digital learning, engaging with educational research and the role of the primary teacher· New ‘View from Practice’ examples· Cross-referenced links to the Teachers’ Standards in England and the GTCS Professional Standards in Scotland and where they are covered within the bookThis is essential reading for professional studies modules on primary initial teacher education courses, including university-based (PGCE, PGDE, BA QTS, BEd), school-based (SCITT, School Direct) and employment-based routes into teaching.
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How can I get tutoring for linear functions?
You can get tutoring for linear functions by reaching out to your school or university's tutoring center, where they may offer one-on-one or group tutoring sessions specifically for this topic. Additionally, there are online tutoring platforms and websites that provide tutoring services for linear functions. You can also consider hiring a private tutor who specializes in math and linear functions to receive personalized help and support.
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Is it linear or non-linear?
The relationship between the variables is non-linear.
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What is included in the secondary school exam on linear and non-linear texts?
In a secondary school exam on linear and non-linear texts, students can expect to encounter a variety of reading passages, such as short stories, poems, articles, and excerpts from novels. They may be asked to analyze the structure, plot, and character development in linear texts, as well as the use of flashbacks, multiple perspectives, or non-chronological storytelling in non-linear texts. Students may also be required to identify and analyze literary devices, such as symbolism, imagery, and figurative language, and to compare and contrast different texts in terms of their themes, tone, and style. Additionally, they may need to demonstrate their understanding of the historical, cultural, or social context of the texts they are studying.
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What is the difference between a linear term, a linear equation, and a linear function?
A linear term is a single variable or constant raised to the power of 1, such as 3x or 5. A linear equation is an equation that can be written in the form y = mx + b, where x is the independent variable, y is the dependent variable, m is the slope, and b is the y-intercept. A linear function is a mathematical relationship between two variables that can be represented by a straight line on a graph, and it can be expressed in the form f(x) = mx + b, where f(x) represents the dependent variable, x is the independent variable, m is the slope, and b is the y-intercept.
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Higher Education Teaching & Learning Space Design Guide
This book is essential reading for teaching staff and librarians to assist them in briefing the project design teams.It should also be a reference book for architects and interior designers.Student's need for social learning, collaborative and interactive facilities have had the greatest impact on the design of new teaching and learning spaces.The author, Brian Griffin, Architect researched this subject over many years and has included a large number of international Case Studies of successful designs.He is also the author of 'Laboratory Design Guide' 3rd Ed 2012 Routledge.
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Reflective Teaching and Learning in Further Education
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Linear Algebra With Machine Learning and Data
This book takes a deep dive into several key linear algebra subjects as they apply to data analytics and data mining.The book offers a case study approach where each case will be grounded in a real-world application.This text is meant to be used for a second course in applications of Linear Algebra to Data Analytics, with a supplemental chapter on Decision Trees and their applications in regression analysis.The text can be considered in two different but overlapping general data analytics categories: clustering and interpolation.Knowledge of mathematical techniques related to data analytics and exposure to interpretation of results within a data analytics context are particularly valuable for students studying undergraduate mathematics.Each chapter of this text takes the reader through several relevant case studies using real-world data.All data sets, as well as Python and R syntax, are provided to the reader through links to Github documentation.Following each chapter is a short exercise set in which students are encouraged to use technology to apply their expanding knowledge of linear algebra as it is applied to data analytics.A basic knowledge of the concepts in a first Linear Algebra course is assumed; however, an overview of key concepts is presented in the Introduction and as needed throughout the text.
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Teaching in Post-14 Education & Training
Teaching in Post-14 Education & Training provides a skilfully balanced mix of essential theory and practical guidance to support you if you are studying an ‘education and training’ qualification.It covers fundamental background information such as key philosophies and concepts, current policy and practice, key thinkers and ideas, and includes a useful chronology. More importantly it also provides the tools to help you approach the classroom with confidence, covering fundamental issues such as teaching and learning, assessment, resources, and course design. Through its pedagogical features the book also offers you opportunities to pause and reflect, as well as practical exercises, templates and examples of student work. Key features of this new edition include:• Links to the latest Professional Standards for Teachers and Trainers• Updating of the legislative and policy context• Supporting learning with technology• Planning for equality and diversity• Embedding language and literacyThis is the definitive textbook on teaching, learning and assessment for those training to work in the post-14 sector. "The latest edition of this popular book helps educators to reclaim their professional identity through stretching and thought-provoking commentary and critical questioning ...This is a valuable resource for students and teachers alike.It provides a useful framework for assignment and classroom work, balancing theory and practical teaching strategies."In Tuition, Issue 24/Summer 2016
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What is the linear span of a linear space?
The linear span of a linear space is the set of all possible linear combinations of the vectors in that space. In other words, it is the collection of all possible vectors that can be obtained by scaling and adding the vectors in the space. The linear span forms a subspace of the original space and is often used to describe the "space" that is covered by the original set of vectors. It is a fundamental concept in linear algebra and is used to understand the properties and structure of vector spaces.
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Is my proof on linear independence in linear algebra correct?
To provide accurate feedback on the correctness of your proof on linear independence in linear algebra, I would need to review the specific details and steps of your proof. Please share your proof or key arguments so that I can assess its validity and provide you with constructive feedback.
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Is my proof about linear independence in linear algebra correct?
To provide an accurate assessment of your proof, I would need to review the specific details and steps of your proof. Linear independence in linear algebra is a fundamental concept, and it is important to ensure that the proof is logically sound and follows the definitions and properties of linear independence. If you can provide the details of your proof, I would be happy to review it and provide feedback on its correctness.
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What is the difference between linear equations and linear functions?
Linear equations and linear functions are closely related, but there is a key difference between the two. A linear equation is a mathematical statement that two expressions are equal, typically in the form y = mx + b. On the other hand, a linear function is a mathematical relationship between an independent variable and a dependent variable, typically in the form f(x) = mx + b. In other words, a linear equation is a specific instance of a linear function, where the equation represents the relationship between the variables.
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