Advancing Natural Language Processing In Educational Assessment
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| Author | : Victoria Yaneva |
| Publisher | : Taylor & Francis |
| Total Pages | : 339 |
| Release | : 2023-06-05 |
| Genre | : Education |
| ISBN | : 1000904199 |
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 | : |
| Total Pages | : 0 |
| Release | : 2023 |
| Genre | : Educational tests and measurements |
| ISBN | : 9781000904161 |
"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"--
| Author | : Mark D. Shermis |
| Publisher | : Taylor & Francis |
| Total Pages | : 647 |
| Release | : 2024-06-27 |
| Genre | : Psychology |
| ISBN | : 1040033245 |
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.
| Author | : Ruslan Mitkov |
| Publisher | : Oxford University Press |
| Total Pages | : 1377 |
| Release | : 2022-06-02 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 019162554X |
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 | : Obaid, Ahmed J. |
| Publisher | : IGI Global |
| Total Pages | : 505 |
| Release | : 2023-12-21 |
| Genre | : Computers |
| ISBN | : |
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.
| Author | : Larry Davis |
| Publisher | : Taylor & Francis |
| Total Pages | : 202 |
| Release | : 2024-09-19 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1351782193 |
The assessment of second language speaking ability has played a central role in the evolution of language testing theory and practice. Educational Testing Service (ETS) has been a primary innovator in all dimensions of speaking assessment since the 1970s, addressing critical challenges through the advent of new test designs, scoring practices, and measurement technologies to make especially large-scale, standardized testing of speaking ability a reality. This volume presents a sample of key ETS research and development efforts related to speaking assessment over the years. The contributors highlight diverse contributions to conceptualizing the speaking construct, designing speaking test tasks, scoring speech samples, marshalling technologies for test delivery and automated scoring, and developing end-to-end speaking assessment procedures. The first part emphasizes how some of the earliest large-scale speaking assessments were designed and put into practice. The second part features research and development related to speaking assessments in the TOEIC and TOEFL testing suites, emphasizing their validity and scoring. The third part introduces research-based innovations in testing new and more nuanced speaking constructs, and in using automated scoring of speech to address diverse assessment needs. The volume will appeal to language testing professionals and test score users in illuminating how ETS has influenced the development of speaking assessment as well as pointing to multiple directions for future research and practice.
| Author | : Xiaoming Zhai |
| Publisher | : Oxford University Press |
| Total Pages | : 625 |
| Release | : 2024-10-24 |
| Genre | : Computers |
| ISBN | : 0198882084 |
In the age of rapid technological advancements, the integration of Artificial Intelligence (AI), machine learning (ML), and large language models (LLMs) in Science, Technology, Engineering, and Mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. Uses of AI in STEM Education, comprising 25 chapters, delves deep into the multifaceted realm of AI-driven STEM education. It begins by exploring the challenges and opportunities of AI-based STEM education, emphasizing the intricate balance between human tasks and technological tools. As the chapters unfold, readers learn about innovative AI applications, from automated scoring systems in biology, chemistry, physics, mathematics, and engineering to intelligent tutors and adaptive learning. The book also touches upon the nuances of AI in supporting diverse learners, including students with learning disabilities, and the ethical considerations surrounding AI's growing influence in educational settings. It showcases the transformative potential of AI in reshaping STEM education, emphasizing the need for adaptive pedagogical strategies that cater to diverse learning needs in an AI-centric world. The chapters further delve into the practical applications of AI, from scoring teacher observations and analyzing classroom videos using neural networks to the broader implications of AI for STEM assessment practices. Concluding with reflections on the new paradigm of AI-based STEM education, this book serves as a comprehensive guide for educators, researchers, and policymakers, offering insights into the future of STEM education in an AI-driven world.
| Author | : Lv, Zhihan |
| Publisher | : IGI Global |
| Total Pages | : 332 |
| Release | : 2024-01-24 |
| Genre | : Computers |
| ISBN | : |
The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during system mutations. The inadequate self-adaptation of AI systems poses significant challenges in terms of cost-effectiveness and operational stability. Principles and Applications of Adaptive Artificial Intelligence, edited by Zhihan Lv from Uppsala University, Sweden, offers a comprehensive solution to the self-adaptation problem in AI systems. It explores the latest concepts, technologies, and applications of Adaptive AI, equipping academic scholars and professionals with the necessary knowledge to overcome the challenges faced by traditional business logic transformed into model services. With its problem-solving approach, real-world case studies, and thorough analysis, the Handbook provides practitioners with practical ideas and solutions, while also serving as a valuable teaching material and reference guide for students and educators in AI-related disciplines. By emphasizing self-adaptation, continuous model iteration, and dynamic learning based on real-time feedback, the book empowers readers to significantly enhance the cost-effectiveness and operational stability of AI systems, making it an indispensable resource for researchers, professionals, and students seeking to revolutionize their research and applications in the field of Adaptive AI.
| Author | : S. Manoharan |
| Publisher | : Springer Nature |
| Total Pages | : 541 |
| Release | : |
| Genre | : |
| ISBN | : 3031614712 |
| Author | : Olle ten Cate |
| Publisher | : Ubiquity Press |
| Total Pages | : 340 |
| Release | : 2024-10-29 |
| Genre | : Medical |
| ISBN | : 1914481615 |
This book discusses the ins and outs of a new approach to competency-based education in the education and training of health professionals, including doctors and medical specialists, but also nurses, dentists, pharmacists, veterinarians, physiotherapists and others. Embedded in a conceptual discussion of what competence in health professionals means, the book discusses theoretical foundations of trust and entrustment of trainees with the practice of patient care tasks. It elaborates the implications for identifying the objectives of training, formulated as entrustable professional activities (EPAs), for the associated curriculum development, for assessment of trainees in the clinical workplace, for faculty development and for the management of large scale change in health professions education. In the past decade, EPAs have been proposed, piloted or implemented in all sectors of health professions education and in countries across all continents. Yet, there is a widely felt desire for a better understanding of all related concepts. This text was written with teachers, educational managers, educational scholars, and health profession trainees in mind. The book is the result of a collaboration of fifty highly engaged authors, all actively involved in their own projects and studies around EPAs and workplace-based assessment, as teachers, developers and managers. All chapters have been critically read and commented on by internal and external reviewers, making this work a state of the art document about the topic.
