Search results for: data-driven-learning-for-the-next-generation

Data Driven Learning for the Next Generation

Author : Peter Crosthwaite
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Despite advancements in and availability of corpus software in language classrooms facilitating data-driven learning (DDL), the use of such methods with pre-tertiary learners remains rare. This book specifically explores the affordances of DDL for younger learners, testing its viability with teachers and students at the primary and secondary years of schooling. It features eminent and up-and-coming researchers from Europe, Asia, and Australasia who seek to address best practice in implementing DDL with younger learners, while providing a wealth of empirical findings and practical DDL activities ready for use in the pre-tertiary classroom. Divided into three parts, the volume's first section focuses on overcoming emerging challenges for DDL with younger learners, including where and how DDL can be integrated into pre-tertiary curricula, as well as potential barriers to this integration. It then considers new, cutting-edge innovations in corpora and corpus software for use with younger learners in the second section, before reporting on actual DDL studies performed with younger learners (and/or their teachers) at the primary and secondary levels of education. This book will appeal to post-graduate students, academics and researchers with interests in corpus linguistics, second language acquisition, primary and secondary literacy education, and language and educational technologies.

The Routledge Handbook of Corpora and English Language Teaching and Learning

Author : Reka R. Jablonkai
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The Routledge Handbook of Corpora and English Language Teaching and Learning provides a wide-ranging and authoritative overview of the latest developments and innovations in how corpus approaches, corpus technologies, and corpus data can inform and transform English language teaching and learning. Featuring a broad range of international experts, the Handbook presents state-of-the-art scholarship and inspires new avenues for research focusing on six key areas: English language teaching and learning informed by language corpora; corpora in syllabus and materials design; corpora and English for specific and academic purposes; learner corpora for English language teaching; data-driven learning; and corpora and corpus tools for language teaching. Unique to this pioneering volume, the authors cover key areas at the cross-roads of corpus research and English language teaching by drawing on cutting-edge corpus applications, methods, and pedagogical approaches, hence, bridging the research–practice gap in the field. This Handbook is a collection of novel contributions offering essential reading for those researching and studying English language teaching and learning through the application of corpus approaches.

The Routledge Handbook of Corpus Linguistics

Author : Anne O'Keeffe
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The Routledge Handbook of Corpus Linguistics 2e provides an updated overview of a dynamic and rapidly growing area with a widely applied methodology. Over a decade on from the first edition of the Handbook, this collection of 47 chapters from experts in key areas offers a comprehensive introduction to both the development and use of corpora as well as their ever-evolving applications to other areas, such as digital humanities, sociolinguistics, stylistics, translation studies, materials design, language teaching and teacher development, media discourse, discourse analysis, forensic linguistics, second language acquisition and testing. The new edition updates all core chapters and includes new chapters on corpus linguistics and statistics, digital humanities, translation, phonetics and phonology, second language acquisition, social media and theoretical perspectives. Chapters provide annotated further reading lists and step-by-step guides as well as detailed overviews across a wide range of themes. The Handbook also includes a wealth of case studies that draw on some of the many new corpora and corpus tools that have emerged in the last decade. Organised across four themes, moving from the basic start-up topics such as corpus building and design to analysis, application and reflection, this second edition remains a crucial point of reference for advanced undergraduates, postgraduates and scholars in applied linguistics.

Beyond Concordance Lines

Author : Pascual Pérez-Paredes
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In over 30 years of data-driven learning (DDL) research, there has been a growing sophistication in the ways we collect, analyse, and put corpus data to use. This volume takes a three-fold perspective on DDL. It first looks at DDL and its role in informing language learning theory and how it might shed light on the language development process; secondly it addresses how DDL can help us characterise learner language and inform teaching accordingly, and thirdly it showcases practical applications for the use of DDL in classrooms. The contributors to this volume examine a variety of instructional settings and languages across the world. They reflect on theoretical, methodological and classroom implications using both novel and established language learning theories, natural language processing (NLP), longitudinal research designs, and a variety of language learning targets. The present volume is an invitation from some of the leading researchers in DDL to reflect on the research avenues that will define the field in the coming years.

New Technological Applications for Foreign and Second Language Learning and Teaching

Author : Kruk, Mariusz
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Population diversity is becoming more prevalent globally with increasing immigration, emigration, and refugee placement. These circumstances increase the likelihood that a child will be raised speaking a different language in the home than the common language used in each country. This necessitates the development of comprehensive strategies that promote second language learning through the adoption of new technological advancements. New Technological Applications for Foreign and Second Language Learning and Teaching is a scholarly publication that explores how the latest technologies have the potential to engage foreign and second language learners both within and outside the language classroom and to facilitate language learning and teaching in the target language. Highlighting a range of topics such as learning analytics, digital games, and telecollaboration, this book is ideal for teachers, instructional designers, curriculum developers, IT consultants, educational software developers, language learning specialists, academicians, administrators, professionals, researchers, and students.

Handbook of Research on Cultivating Literacy in Diverse and Multilingual Classrooms

Author : Neokleous, Georgios
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Literacy has traditionally been associated with the linguistic and functional ability to read and write. Although literacy, as a fundamental issue in education, has received abundant attention in the last few decades, most publications to date have focused on monolingual classrooms. Language teacher educators have a responsibility to prepare teachers to be culturally responsive and flexible so they can adapt to the range of settings and variety of learners they will encounter in their careers while also bravely questioning the assumptions they are encountering about multilingual literacy development and instruction. The Handbook of Research on Cultivating Literacy in Diverse and Multilingual Classrooms is an essential scholarly publication that explores the multifaceted nature of literacy development across the lifespan in a range of multilingual contexts. Recognizing that literacy instruction in contemporary language classrooms serving diverse student populations must go beyond developing reading and writing abilities, this book sets out to explore a wide range of literacy dimensions. It offers unique perspectives through a critical reflection on issues related to power, ownership, identity, and the social construction of literacy in multilingual societies. As a resource for use in language teacher preparation programs globally, this book will provide a range of theoretical and practical perspectives while creating space for pre- and in-service teachers to grapple with the ideas in light of their respective contexts. The book will also provide valuable insights to instructional designers, curriculum developers, linguists, professionals, academicians, administrators, researchers, and students.

Data Driven Mining Learning and Analytics for Secured Smart Cities

Author : Chinmay Chakraborty
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This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, services, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities.

Dynamic Data Driven Applications Systems

Author : Frederica Darema
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This book constitutes the refereed proceedings of the Third International Conference on Dynamic Data Driven Application Systems, DDDAS 2020, held in Boston, MA, USA, in October 2020. The 21 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 40 submissions. They cover topics such as: digital twins; environment cognizant adaptive-planning systems; energy systems; materials systems; physics-based systems analysis; imaging methods and systems; and learning systems.

Transforming the Internet of Things for Next Generation Smart Systems

Author : Alankar, Bhavya
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The internet of things (IoT) has massive potential to transform current business models and enhance human lifestyles. With the current pace of research, IoT will soon find many new horizons to touch. IoT is now providing a base of technological advancement in various realms such as pervasive healthcare, smart homes, smart cities, connected logistics, automated supply chain, manufacturing units, and many more. IoT is also paving the path for the emergence of the digital revolution in industrial technology, termed Industry 4.0. Transforming the Internet of Things for Next-Generation Smart Systems focuses on the internet of things (IoT) and how it is involved in modern day technologies in a variety of domains. The chapters cover IoT in sectors such as agriculture, education, business and management, and computer science applications. The multi-disciplinary view of IoT provided within this book makes it an ideal reference work for IT specialists, technologists, engineers, developers, practitioners, researchers, academicians, and students interested in how IoT will be implemented in the next generation of smart systems and play an integral role in advancing technology in the future.

Information Systems and Technologies to Support Learning

Author : Álvaro Rocha
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This book features a selection of articles from the second edition of the conference Europe Middle East & North Africa Information Systems and Technologies to Support Learning 2018 (EMENA-ISTL'18), held in Fez, Morocco between 25th and 27th October 2018. EMENA-ISTL’18 was a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences and challenges in information systems & technologies to support learning. The main topics covered are: A) information systems technologies to support education; B) education in science, technology, engineering and Mathematics; C) emerging technologies in education learning innovation in the digital age; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer communications and networks; G) IOT, smart cities and people, wireless, sensor and ad-hoc networks; H) organizational models and information systems and technologies; I) human–computer Interaction; J) computers & security, ethics and data-forensic; K) health informatics, and medical informatics security; l) information and knowledge management; m) big data analytics and applications, intelligent data systems, and machine learning; n) artificial intelligence, high performance computing; o) mobile, embedded and ubiquitous systems; p) language and image processing, computer graphics and vision; and q) the interdisciplinary field of fuzzy logic and data mining.