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Author: Victoria Yaneva
Publisher: Taylor & Francis
ISBN: 1000904199
Category : Education
Languages : en
Pages : 339
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Book Description
Advancing Natural Language Processing in Educational Assessment examines the use of natural language technology in educational testing, measurement, and assessment. Recent developments in natural language processing (NLP) have enabled large-scale educational applications, though scholars and professionals may lack a shared understanding of the strengths and limitations of NLP in assessment as well as the challenges that testing organizations face in implementation. This first-of-its-kind book provides evidence-based practices for the use of NLP-based approaches to automated text and speech scoring, language proficiency assessment, technology-assisted item generation, gamification, learner feedback, and beyond. Spanning historical context, validity and fairness issues, emerging technologies, and implications for feedback and personalization, these chapters represent the most robust treatment yet about NLP for education measurement researchers, psychometricians, testing professionals, and policymakers. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-NonCommercial-No Derivatives 4.0 license.
Author: Victoria Yaneva
Publisher: Taylor & Francis
ISBN: 1000904199
Category : Education
Languages : en
Pages : 339
Get Book Here
Book Description
Advancing Natural Language Processing in Educational Assessment examines the use of natural language technology in educational testing, measurement, and assessment. Recent developments in natural language processing (NLP) have enabled large-scale educational applications, though scholars and professionals may lack a shared understanding of the strengths and limitations of NLP in assessment as well as the challenges that testing organizations face in implementation. This first-of-its-kind book provides evidence-based practices for the use of NLP-based approaches to automated text and speech scoring, language proficiency assessment, technology-assisted item generation, gamification, learner feedback, and beyond. Spanning historical context, validity and fairness issues, emerging technologies, and implications for feedback and personalization, these chapters represent the most robust treatment yet about NLP for education measurement researchers, psychometricians, testing professionals, and policymakers. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-NonCommercial-No Derivatives 4.0 license.
Author: Ruslan Mitkov
Publisher: Oxford University Press
ISBN: 019162554X
Category : Language Arts & Disciplines
Languages : en
Pages : 1377
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Book Description
Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.
Author: Antony John Kunnan
Publisher: John Wiley & Sons
ISBN: 1394179618
Category : Education
Languages : en
Pages : 725
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Book Description
The Concise Companion to Language Assessment provides a state-of-the-art overview of the crucial areas of language assessment, teaching, and learning. Edited by one of the foremost scholars in the field, The Concise Companion combines newly commissioned articles on innovations in assessment with a selection of chapters from The Companion to Language Assessment, the landmark four-volume reference work first published in 2013. Presented in eight themes, The Concise Companion addresses a broad range of language assessment methods, issues, and contexts. Forty-five chapters cover assessment conceptualization, development, research, and policy, as well as recent changes in language assessment technology, learning-oriented assessment, teacher-based assessment, teacher assessment literacy, plurilingual assessment, assessment for immigration, and more. Exploring the past, present, and future possibilities of the dynamic field, The Concise Companion to Language Assessment: Contains dedicated chapters on listening, speaking, reading writing, vocabulary, pronunciation, intercultural competence, and other language skills Describes fundamental assessment design and scoring guidelines, as well as advanced concepts in scenario-based assessment and automated performance scoring Provides insights on different assessment environments, such as classrooms, universities, employment, immigration, and healthcare Covers various qualitative and quantitative research methods, including introspective methods, classical reliability, and structural equation modeling Discusses the impacts of colonialism and discrimination on the history of language assessment Explores the use of AI in writing evaluation, plagiarism and cheating detection, and other assessment contexts Sure to become a standard text for the next generation of applied linguistics students, The Concise Companion to Language Assessment is an invaluable textbook for undergraduate and graduate courses in applied linguistics, language assessment, TESOL, second language acquisition, and language policy.
Author: Sharma, Ramesh C.
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 570
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Book Description
The rise of generative Artificial Intelligence (AI) signifies a momentous stride in the evolution of Large Language Models (LLMs) within the expansive sphere of Natural Language Processing (NLP). This groundbreaking advancement ripples through numerous facets of our existence, with education, AI literacy, and curriculum enhancement emerging as focal points of transformation. Within the pages of Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation, readers embark on a journey into the heart of this transformative phenomenon. Generative AI's influence extends deeply into education, touching the lives of educators, administrators, policymakers, and learners alike. Within the pages of this book, we explore the intricate art of prompt engineering, a skill that shapes the quality of AI-generated educational content. As generative AI becomes increasingly accessible, this comprehensive volume empowers its audience, by providing them with the knowledge needed to navigate and harness the potential of this powerful tool.
Author: Ouaissa, Mariya
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 446
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Book Description
Smart education is transforming the way we teach and learn by incorporating advanced technologies that enhance interactivity, personalization, and efficiency. By integrating digital tools, data analytics, and innovative strategies, it can better address the needs of 21st-century learners. Central to this shift is the Internet of Behavior (IoB). As IoT grows, it collects behavior-related data and combines that data analysis with intelligent systems. While this fusion enhances personalized learning, it also raises important concerns about privacy, security, and ethics. Internet of Behavior-Based Computational Intelligence for Smart Education Systems explores the intricacies of how IoB and computational intelligence are transforming education. It offers practical insights and theoretical foundations on how behavioral data can create smarter, more adaptive learning environments. Targeting educators, technologists, and researchers, the book delves into the latest developments at the intersection of technology and education, guiding readers toward more personalized, efficient, and effective learning systems.
Author: Mohammad Khalil
Publisher: Frontiers Media SA
ISBN: 283255802X
Category : Science
Languages : en
Pages : 182
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Book Description
The last decade has seen significant progress in technology, particularly in the fields of Artificial Intelligence and machine learning, which have had a profound impact on numerous industries, including education. The integration of technology in education has fundamentally altered the landscape of learning where data becomes a crucial component to provide insights into for example how students learn, when and where additional support is needed. Employing educational data is proving to be a catalyst for innovation in education, opening up new possibilities for students and educators alike. The focus of this Research Topic is to explore the impact of recent technological innovations and advances (such as AI, AI-powered Chatbots, Learning Analytics, Virtual and Augmented Reality, and remote and virtual labs) on different education systems, both from the educational and the psychological perspective. The scope is twofold; on the one hand, examining the use of these advanced technologies in learning and teaching activities; and on the other hand; teaching students about these technologies and understanding the impact of including them in new education policies and curricula (including teaching of AI, data science, analytics and the ethical implications of data). The Research Topic seeks to provide insightful and thought-provoking perspectives on how technology is being utilized to enhance the learning experience for students of all ages, Both in higher education and K12 education and their transition to higher education. By gathering experts in psychology, education, and technology, this Research Topic aims to present research findings and best practices and to stimulate discussions on the role of technology in shaping the future of education. The ultimate objective is to inspire innovation and to improve the education of future generations through advanced technologies.
Author: Wang, Fu Lee
Publisher: IGI Global
ISBN: 1605663816
Category : Computers
Languages : en
Pages : 597
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Book Description
"This book focuses on Hybrid Learning as a way to compensate for the shortcomings of traditional face-to-face teaching, distance learning, and technology-mediated learning"--Provided by publisher.
Author: Mohamed Lahby
Publisher: Springer Nature
ISBN: 3031656911
Category :
Languages : en
Pages : 441
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Book Description
Author: Mark J. Gierl
Publisher: Routledge
ISBN: 1000378004
Category : Education
Languages : en
Pages : 190
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Book Description
Advanced Methods in Automatic Item Generation is an up-to-date survey of the growing research on automatic item generation (AIG) in today’s technology-enhanced educational measurement sector. As test administration procedures increasingly integrate digital media and Internet use, assessment stakeholders—from graduate students to scholars to industry professionals—have numerous opportunities to study and create different types of tests and test items. This comprehensive analysis offers thorough coverage of the theoretical foundations and concepts that define AIG, as well as the practical considerations required to produce and apply large numbers of useful test items.
Author: Abeba Birhane
Publisher: Springer Nature
ISBN: 3031641515
Category :
Languages : en
Pages : 406
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Book Description
