Textbook Theory and Invariant Approaches to Language Learning: Emerging Research and Opportunities

Textbook Theory and Invariant Approaches to Language Learning: Emerging Research and Opportunities PDF Author: Orlova, Elena
Publisher: IGI Global
ISBN: 1799826740
Category : Education
Languages : en
Pages : 158

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Book Description
The structure and content of a contemporary second language textbook are intended to encourage the initiative learner activity and create proper conditions for its manifestation in the curriculum. This premise unreservedly accepted by the teaching community proposes a flexible approach to second language acquisition encouraging individual self-learning experience. Textbook Theory and Invariant Approaches to Language Learning: Emerging Research and Opportunities is a critical scholarly publication that examines the structure and function of current second language learning curricula and classrooms. The book pursues three main objectives, which include (1) reconstruction of the general conceptual framework of textbook theory; (2) systematization of the invariant approach applications; and (3) production of a set of concepts, principles, rules, and regularities underlying the invariant-based text development. Featuring a wide range of topics such as learning patterns, proficiency, and communication, this book is ideal for education professionals, academicians, professionals, researchers, curriculum designers, and students.

Textbook Theory and Invariant Approaches to Language Learning: Emerging Research and Opportunities

Textbook Theory and Invariant Approaches to Language Learning: Emerging Research and Opportunities PDF Author: Orlova, Elena
Publisher: IGI Global
ISBN: 1799826740
Category : Education
Languages : en
Pages : 158

Get Book Here

Book Description
The structure and content of a contemporary second language textbook are intended to encourage the initiative learner activity and create proper conditions for its manifestation in the curriculum. This premise unreservedly accepted by the teaching community proposes a flexible approach to second language acquisition encouraging individual self-learning experience. Textbook Theory and Invariant Approaches to Language Learning: Emerging Research and Opportunities is a critical scholarly publication that examines the structure and function of current second language learning curricula and classrooms. The book pursues three main objectives, which include (1) reconstruction of the general conceptual framework of textbook theory; (2) systematization of the invariant approach applications; and (3) production of a set of concepts, principles, rules, and regularities underlying the invariant-based text development. Featuring a wide range of topics such as learning patterns, proficiency, and communication, this book is ideal for education professionals, academicians, professionals, researchers, curriculum designers, and students.

Virtual and Mobile Learning Activities in Higher Education

Virtual and Mobile Learning Activities in Higher Education PDF Author: Amhag, Lisbeth
Publisher: IGI Global
ISBN: 1799841847
Category : Education
Languages : en
Pages : 200

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Book Description
Digitization has undergone a number of paradigm shifts where structures, processes, and behaviors have changed, including in education. Higher education faces major challenges both pedagogically and technically, but also provides great opportunities to design and teach for self-directed and motivated higher education with smart pedagogy. It is crucial that teachers identify the pedagogical and technological benefits to smart education in order to enhance student-centered learning. Virtual and Mobile Learning Activities in Higher Education is a pivotal reference source that focuses on virtual and mobile learning activities in higher education for student-centered learning and the ways that teachers can design and use different learning activities, both blended and mobile, for self-directed and motivated “smart” education. Additionally, the book examines how students perceive these activities and how the outcomes can be analyzed in use with adaptive, resource-enriched, and technology-embedded tools. Highlighting a broad range of topics including feedback activities, mobile learning, and self-assessment, this book is ideally designed for educators, curriculum developers, instructional designers, programmers, software developers, administrators, policymakers, researchers, academicians, and students.

Information Theory, Inference and Learning Algorithms

Information Theory, Inference and Learning Algorithms PDF Author: David J. C. MacKay
Publisher: Cambridge University Press
ISBN: 9780521642989
Category : Computers
Languages : en
Pages : 694

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Book Description
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.

Resources in Education

Resources in Education PDF Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 336

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Book Description


Linguistics and Language Behavior Abstracts

Linguistics and Language Behavior Abstracts PDF Author:
Publisher:
ISBN:
Category : Language and languages
Languages : en
Pages : 394

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Book Description


Social Science Research

Social Science Research PDF Author: Anol Bhattacherjee
Publisher: CreateSpace
ISBN: 9781475146127
Category : Science
Languages : en
Pages : 156

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Book Description
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

Quantum-like Networks: An Approach To Neural Behavior Through Their Mathematics And Logic

Quantum-like Networks: An Approach To Neural Behavior Through Their Mathematics And Logic PDF Author: Stephen A Selesnick
Publisher: World Scientific
ISBN: 9811260710
Category : Science
Languages : en
Pages : 354

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Book Description
Do brains compute? If they do, what do they compute and how do they do it? The first part of the book introduces the development of a model that simulates actual biological neurons more closely than do current standard models of neural networks, as well as the deduction of its physics-like and computational properties from first principles. The second part presents a collection of applications of the model to memory formation and loss, a general syntax for memory retrieval, language itself, and certain forms of aphasia. A linear development of the discussion with proofs in situ is employed by the author, making the book essentially self-contained. A pair of helpful appendices are provided to acquaint the reader with necessary fundamentals of topics in logic and mathematics. Quantum-like Networks: An Approach to Neural Behavior through their Mathematics and Logic will show you an entirely new approach to an ancient subject.

JSSC Jharkhand Lady Supervisor Paper III : Sociology Exam Book 2023 (English Edition) | Jharkhand Staff Selection Commission | 10 Practice Tests (1500 Solved MCQs)

JSSC Jharkhand Lady Supervisor Paper III : Sociology Exam Book 2023 (English Edition) | Jharkhand Staff Selection Commission | 10 Practice Tests (1500 Solved MCQs) PDF Author: EduGorilla Prep Experts
Publisher: EduGorilla Community Pvt. Ltd.
ISBN: 9355569335
Category : Education
Languages : en
Pages : 191

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Book Description
• Best Selling Book in English Edition for JSSC Jharkhand Lady Supervisor Paper III : Sociology Exam with objective-type questions as per the latest syllabus. • JSSC Jharkhand Lady Supervisor Paper III : Sociology Exam Preparation Kit comes with 10 Practice Tests with the best quality content. • Increase your chances of selection by 16X. • JSSC Jharkhand Lady Supervisor Paper III : Sociology Exam Prep Kit comes with well-structured and 100% detailed solutions for all the questions. • Clear exam with good grades using thoroughly Researched Content by experts.

Training for the New Millennium

Training for the New Millennium PDF Author: Martha Tennent
Publisher: John Benjamins Publishing
ISBN: 9027294712
Category : Language Arts & Disciplines
Languages : en
Pages : 304

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Book Description
Originating at an international forum held at the University of Vic (Spain), the twelve essays collected here attest to important changes in translation practice and the assumptions which underpin them. Leading theorists respond to the state of Translation Studies today, particularly the epistemological dilemma between theories that are empirically oriented and those that are inspired by developments in Cultural Studies. But the volume is also practical. Experienced instructors survey existing pedagogies at translator/interpreter training programs and explore new techniques that address the technological and global challenges of the new millennium. Among the topics considered are: how to use translation technology in the classroom, how to construct a syllabus for a course in audiovisual translating or in translation theory, and how to develop guidelines for a program for community interpreters or conference interpreters. The contributors all assume that translation, whether written or oral, does not occupy a neutral space. It is a cross-cultural exchange that produces far-reaching social effects. Their essays significantly advance the theoretical and practical understanding of translation along these lines.

Reinforcement Learning, second edition

Reinforcement Learning, second edition PDF Author: Richard S. Sutton
Publisher: MIT Press
ISBN: 0262352702
Category : Computers
Languages : en
Pages : 549

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Book Description
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.