Advancing Natural Language Processing in Educational Assessment - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advancing Natural Language Processing in Educational Assessment write by Victoria Yaneva. This book was released on 2023-06-05. Advancing Natural Language Processing in Educational Assessment available in PDF, EPUB and Kindle. 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.
Advancing Natural Language Processing in Educational Assessment
Advancing Natural Language Processing in Educational Assessment - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advancing Natural Language Processing in Educational Assessment write by Victoria Yaneva. This book was released on 2023. Advancing Natural Language Processing in Educational Assessment available in PDF, EPUB and Kindle. "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 Routledge International Handbook of Automated Essay Evaluation
The Routledge International Handbook of Automated Essay Evaluation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Routledge International Handbook of Automated Essay Evaluation write by Mark D. Shermis. This book was released on 2024-06-27. The Routledge International Handbook of Automated Essay Evaluation available in PDF, EPUB and Kindle. The Routledge International Handbook of Automated Essay Evaluation (AEE) is a definitive guide at the intersection of automation, artificial intelligence, and education. This volume encapsulates the ongoing advancement of AEE, reflecting its application in both large-scale and classroom-based assessments to support teaching and learning endeavors. It presents a comprehensive overview of AEE's current applications, including its extension into reading, speech, mathematics, and writing research; modern automated feedback systems; critical issues in automated evaluation such as psychometrics, fairness, bias, transparency, and validity; and the technological innovations that fuel current and future developments in this field. As AEE approaches a tipping point of global implementation, this Handbook stands as an essential resource, advocating for the conscientious adoption of AEE tools to enhance educational practices ethically. The Handbook will benefit readers by equipping them with the knowledge to thoughtfully integrate AEE, thereby enriching educational assessment, teaching, and learning worldwide. Aimed at researchers, educators, AEE developers, and policymakers, the Handbook is poised not only to chart the current landscape but also to stimulate scholarly discourse, define and inform best practices, and propel and guide future innovations.
The Oxford Handbook of Computational Linguistics
The Oxford Handbook of Computational Linguistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Oxford Handbook of Computational Linguistics write by Ruslan Mitkov. This book was released on 2022-06-02. The Oxford Handbook of Computational Linguistics available in PDF, EPUB and Kindle. 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.
Advanced Applications of Generative AI and Natural Language Processing Models
Advanced Applications of Generative AI and Natural Language Processing Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advanced Applications of Generative AI and Natural Language Processing Models write by Obaid, Ahmed J.. This book was released on 2023-12-21. Advanced Applications of Generative AI and Natural Language Processing Models available in PDF, EPUB and Kindle. The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies. Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Modelsequips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving.
