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Application Of Artificial Intelligence To Assessment
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Book Synopsis Application of Artificial Intelligence to Assessment by : Hong Jiao
Download or read book Application of Artificial Intelligence to Assessment written by Hong Jiao and published by IAP. This book was released on 2020-03-01 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing. By utilizing artificial intelligence, the efficiency of item development, test form construction, test delivery, and scoring could be dramatically increased. Chapters on automated item generation offer different perspectives related to generating a large number of items with controlled psychometric properties including the latest development of using machine learning methods. Automated scoring is illustrated for different types of assessments such as speaking and writing from both methodological aspects and practical considerations. Further, automated test assembly is elaborated for the conventional linear tests from both classical test theory and item response theory perspectives. Item pool design and assembly for the linear-on-the-fly tests elaborates more complications in practice when test security is a big concern. Finally, several chapters focus on computerized adaptive testing (CAT) at either item or module levels. CAT is further illustrated as an effective approach to increasing test-takers’ engagement in testing. In summary, the book includes both theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to automate the process of test development. While some of these automation processes have become common practices such as automated test assembly, automated scoring, and computerized adaptive testing, some others such as automated item generation calls for more research and exploration. When new AI methods are emerging and evolving, it is expected that researchers can expand and improve the methods for automating different steps in test development to enhance the automation features and practitioners can adopt quality automation procedures to improve assessment practices.
Book Synopsis Handbook of Research on Digital Content, Mobile Learning, and Technology Integration Models in Teacher Education by : Keengwe, Jared
Download or read book Handbook of Research on Digital Content, Mobile Learning, and Technology Integration Models in Teacher Education written by Keengwe, Jared and published by IGI Global. This book was released on 2017-07-13 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: While many facets of our lives are rapidly becoming more digital, educational institutions are now faced with the task of finding new and innovative ways to incorporate technology into the classroom. Examining the latest trends in digital tools provides a more effective learning environment for future generations. The Handbook of Research on Digital Content, Mobile Learning, and Technology Integration Models in Teacher Education is a pivotal scholarly reference source that outlines the most efficient ways for educators to employ technology-enhanced lesson plans in their classroom. Featuring pertinent topics that include blended learning environments, student engagement, artificial intelligence, and learner-centered pedagogy, this is an ideal resource for educators, aspiring teachers, and researchers that are interested in discovering recent trends and techniques related to digital learning environments and technology-enhanced classrooms.
Book Synopsis Artificial Intelligence in Education and Teaching Assessment by : Wei Wang
Download or read book Artificial Intelligence in Education and Teaching Assessment written by Wei Wang and published by Springer Nature. This book was released on 2022-01-01 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects papers on education quality assessment based on AI technology and introduces the latest research direction and progress of AI technology in the field of education and teaching, including classroom teaching quality assessment, online education quality assessment, teaching reflection quality assessment, etc. This book promotes the application of artificial intelligence technology in the field of education and teaching, effectively improving the quality of education and teaching. Researchers in artificial intelligence technology, teachers, students, and others benefit from this book.
Book Synopsis Artificial Intelligence in Behavioral and Mental Health Care by : David D. Luxton
Download or read book Artificial Intelligence in Behavioral and Mental Health Care written by David D. Luxton and published by Academic Press. This book was released on 2015-09-10 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings
Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr
Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data
Book Synopsis AI in Language Teaching, Learning, and Assessment by : Pan, Fang
Download or read book AI in Language Teaching, Learning, and Assessment written by Pan, Fang and published by IGI Global. This book was released on 2024-02-12 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: The introduction of Artificial Intelligence (AI) has ignited a fervent academic discourse. AI's role is as both a powerful ally and a potential adversary in education. For instance, ChatGPT is a generative AI which mimics human conversation with impressive precision. Its capabilities span the educational spectrum, from answering questions and generating essays to composing music and coding. Yet, as with any innovation, its advent has sparked a spirited academic dialogue. AI in Language Teaching, Learning, and Assessment seeks to address these concerns with rigor and thoughtfulness. It explores the undeniable drawbacks of AI in language education and offers strategic insights into their prevention. It scrutinizes the resources and safeguards required to ensure the ethical and secure integration of AI in academic settings. This book lays out the multifaceted benefits of incorporating AI into language teaching, learning, and assessment. Its chapters dissect the transformative impact of AI on pedagogy, teaching materials, assessment methodologies, applied linguistics, and the broader landscape of language education development. This book is a valuable resource for language learners, educators, researchers, and scholars alike. It beckons to those who are keen on exploring and implementing AI in education, as well as AI developers and experts seeking to bridge the chasm between technology and language education.
Book Synopsis Re-imagining University Assessment in a Digital World by : Margaret Bearman
Download or read book Re-imagining University Assessment in a Digital World written by Margaret Bearman and published by Springer Nature. This book was released on 2020-07-13 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first to explore the big question of how assessment can be refreshed and redesigned in an evolving digital landscape. There are many exciting possibilities for assessments that contribute dynamically to learning. However, the interface between assessment and technology is limited. Often, assessment designers do not take advantage of digital opportunities. Equally, digital innovators sometimes draw from models of higher education assessment that are no longer best practice. This gap in thinking presents an opportunity to consider how technology might best contribute to mainstream assessment practice. Internationally recognised experts provide a deep and unique consideration of assessment’s contribution to the technology-mediated higher education sector. The treatment of assessment is contemporary and spans notions of ‘assessment for learning’, measurement and the roles of peer and self within assessment. Likewise the view of educational technology is broad and includes gaming, learning analytics and new media. The intersection of these two worlds provides opportunities, dilemmas and exemplars. This book serves as a reference for best practice and also guides future thinking about new ways of conceptualising, designing and implementing assessment.
Book Synopsis Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice by : Daniel A. Hashimoto
Download or read book Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice written by Daniel A. Hashimoto and published by McGraw Hill Professional. This book was released on 2021-03-08 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build a solid foundation in surgical AI with this engaging, comprehensive guide for AI novices Machine learning, neural networks, and computer vision in surgical education, practice, and research will soon be de rigueur. Written for surgeons without a background in math or computer science, Artificial Intelligence in Surgery provides everything you need to evaluate new technologies and make the right decisions about bringing AI into your practice. Comprehensive and easy to understand, this first-of-its-kind resource illustrates the use of AI in surgery through real-life examples. It covers the issues most relevant to your practice, including: Neural Networks and Deep Learning Natural Language Processing Computer Vision Surgical Education and Simulation Preoperative Risk Stratification Intraoperative Video Analysis OR Black Box and Tracking of Intraoperative Events Artificial Intelligence and Robotic Surgery Natural Language Processing for Clinical Documentation Leveraging Artificial Intelligence in the EMR Ethical Implications of Artificial Intelligence in Surgery Artificial Intelligence and Health Policy Assessing Strengths and Weaknesses of Artificial Intelligence Research Finally, the appendix includes a detailed glossary of terms and important learning resources and techniques―all of which helps you interpret claims made by studies or companies using AI.
Book Synopsis Artificial Intelligence: Models, Algorithms and Applications by : Terje Solsvik Kristensen
Download or read book Artificial Intelligence: Models, Algorithms and Applications written by Terje Solsvik Kristensen and published by Bentham Science Publishers. This book was released on 2021-05-31 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence: Models, Algorithms and Applications presents focused information about applications of artificial intelligence (AI) in different areas to solve complex problems. The book presents 8 chapters that demonstrate AI based systems for vessel tracking, mental health assessment, radiology, instrumentation, business intelligence, education and criminology. The book concludes with a chapter on mathematical models of neural networks. The book serves as an introductory book about AI applications at undergraduate and graduate levels and as a reference for industry professionals working with AI based systems.
Book Synopsis Artificial Intelligence in Society by : OECD
Download or read book Artificial Intelligence in Society written by OECD and published by OECD Publishing. This book was released on 2019-06-11 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Book Synopsis Handbook of Second Language Assessment by : Dina Tsagari
Download or read book Handbook of Second Language Assessment written by Dina Tsagari and published by Walter de Gruyter GmbH & Co KG. This book was released on 2016-03-07 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Second language assessment is ubiquitous. It has found its way from education into questions about access to professions and migration. This volume focuses on the main debates and research advances in second language assessment in the last fifty years or so, showing the influence of linguistics, politics, philosophy, psychology, sociology, and psychometrics. There are four parts which, when taken together, address the principles and practices of second language assessment while considering its impact on society. Read separately, each part addresses a different aspect of the field. Part I deals with the conceptual foundations of second language assessment with chapters on the purposes of assessment, and standards and frameworks, as well as matters of scoring, quality assurance, and test validation. Part II addresses the theory and practice of assessing different second language skills including aspects like intercultural competence and fluency. Part III examines the challenges and opportunities of second language assessment in a range of contexts. In addition to chapters on second language assessment on a national scale, there are chapters on learning-oriented assessment, as well as the uses of second language assessment in the workplace and for migration. Part IV examines a selection of important issues in the field that deserve attention. These include the alignment of language examinations to external frameworks, the increasing use of technology to both deliver and score second language tests, the responsibilities associated with assessing test takers with special needs, the concept of 'voice' in second language assessment, and assessment literacy for teachers and other test and score users.
Book Synopsis Artificial Intelligence in Education by : Wayne Holmes
Download or read book Artificial Intelligence in Education written by Wayne Holmes and published by . This book was released on 2019-02-28 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The landscape for education has been rapidly changing in the last years: demographic changes affecting the makeup of families, multiple school options available to children, wealth disparities, the global economy demanding new skills from workers, and continued breakthroughs in technology are some of the factors impacting education. Given these changes, how can schools continue to prepare students for the future? In a world where information is readily available online, how can schools continue to be relevant? The emergence of Artificial Intelligence (AI) has exacerbated the need to have these conversations. Its impact on education and the multiple possibilities that it offers are putting pressure on educational leaders to reformulate the school curriculum and the channels to deliver it. The book "Artificial Intelligence in Education, Promises and Implications for Teaching and Learning" by the Center for Curriculum Redesign immerses the reader in a discussion on what to teach students in the era of AI and examines how AI is already demanding much needed updates to the school curriculum, including modernizing its content, focusing on core concepts, and embedding interdisciplinary themes and competencies with the end goal of making learning more enjoyable and useful in students' lives. The second part of the book dives into the history of AI in education, its techniques and applications -including the way AI can help teachers be more effective, and finishes on a reflection about the social aspects of AI. This book is a must-read for educators and policy-makers who want to prepare schools to face the uncertainties of the future and keep them relevant." --Amada Torres, VP, Studies, Insights, and Research, National Association of Independent School (NAIS) "The rapid advances in technology in recent decades have already brought about substantial changes in education, opening up new opportunities to teach and learn anywhere anytime and providing new tools and methods to improve learning outcomes and support innovative teaching and learning.Research into artificial intelligence and machine learning in education goes back to the late 1970s. Artificial intelligence methods were generally employed in two ways: to design and facilitate interactive learning environments that would support learning by doing, and to design and implement tutoring systems by adapting instructions with respect to the students' knowledge state.But this is just the beginning. As Artificial Intelligence in Education shows, AI is increasingly used in education and learning contexts. The collision of three areas - data, computation and education - is set to have far-reaching consequences, raising fundamental questions about the nature of education: what is taught and how it is taught. Artificial Intelligence in Education is an important, if at times disturbing, contribution to the debate on AI and provides a detailed analysis on how it may affect the way teachers and students engage in education. The book describes how artificial intelligence may impact on curriculum design, on the individualisation of learning, and on assessment, offering some tantalising glimpses into the future (the end of exams, your very own lifelong learning companion) while not falling victim to tech-hype. The enormous ethical, technical and pedagogical challenges ahead are spelt out, and there is a real risk that the rapid advances in artificial intelligence products and services will outstrip education systems' capacity to understand, manage and integrate them appropriately. As the book concludes: "We can either leave it to others (the computer scientists, AI engineers and big tech companies) to decide how artificial intelligence in education unfolds, or we can engage in productive dialogue."I commend this book to anyone concerned with the future of education in a digital world." --Marc Durando, Executive Director, European Schoolnet
Book Synopsis Artificial Intelligence Theory, Models, and Applications by : P Kaliraj
Download or read book Artificial Intelligence Theory, Models, and Applications written by P Kaliraj and published by CRC Press. This book was released on 2021-10-21 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills. FEATURES: Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI world A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine AI’s role in the diagnosis of various diseases, such as cancer and diabetes The role of machine learning models in product development and statistically monitoring product quality Machine learning to make robust and effective economic policy decisions Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results ABOUT THE EDITORS: Prof. Dr. P. Kaliraj is Vice Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr. T. Devi is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.
Book Synopsis Artificial Intelligence for All by : Utpal Chakraborty
Download or read book Artificial Intelligence for All written by Utpal Chakraborty and published by BPB Publications. This book was released on 2020-02-18 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence, the Revolutionary Transformation that no one can escapeÊ DESCRIPTIONÊÊ The book ÔArtificial Intelligence for AllÕ is a snapshot of AI applications in different industries, society, and everyday life. The book is written considering possibilities AI can bring in the Indian context and considering Indian industries and economy at the center stage.Ê The book starts with describing the race for the supremacy of different countries in the field of Artificial Intelligence that has already taken a great momentum and how AI has managed to influence even mainstream politics and the world leaders.Ê In the subsequent chapters, the book brings in AI applications primarily in the Banking and Finance sectors like Financial Crime detection using AI, Credit Risk Assessment, AI-powered conversational banking, Predictive Analytics, and recommendations in Banking and Finance.Ê In few of the chapters, it goes deep into Machine Learning, Deep Learning, Neural Network and analogy with the human brain for readers who wants to go deeper into the subject, at the same time the content and explanations remain very simple for non-technical readers. How AI is powering the self-driving autonomous vehicles and its implication in the society, job, and the world economy, and itÕs transforming the world of home automation, will be another area of interest in the book.Ê A full chapter is dedicated for CIOs and CTOs to consider AI top in their priority list.Ê Applications of AI in Sports are going to be interesting for sports lovers as well as professionals working in the Sports and Computer Games domain. The book also gives special emphasis on Conversational AI like Virtual Assistances and ChatBots and their utility in different sectors. A chapter dedicated for healthcare and medicine provides a complete overview of AI applications in the field and how itÕs transforming clinical imaging, personalized medicines, drug discovery, and predictions and forecasting health-related events and many more. Cognitive Cyber Security using AI and Machine Learning would be an area of interest for the readers in the field of Cyber Security. The chapter talks about various modern cognitive cybersecurity tools and techniques to fight with the ever-evolving cybercrime space. ÔJourney of a Digital TravelerÕ describes how AI is transforming the travel and tourism industry. The book also includes top 100 business use cases which illustrate possible applications in various fields. KEY FEATURESÊ Provides perfect ÔplaygroundÕ for enterprises and institutions globally to develop Artificial Intelligence solutions The world has achieved an enormous amount of technological advancement and skyrocketing progress in mass Digitization, Data Science, and FinTech The gist of the golden era of AI and FinTech AI-powered autonomous vehicles are undoubtedly the future. Autonomous vehicles are the dawn of a whole new lifestyle Using Artificial Intelligence to redefine their products, processes and strategiesÊ Providing banking and financial services to the customers through a variety of digital channels A preliminary guide for enterprises and businesses to revisit their AI strategyÊ Ê WHAT WILL YOU LEARNÊ This book is for both technical and non-technical readers, a cutting edge technology like Artificial Intelligence is simplified for all and a genuine effort has been made to democratize it as much as possible. The book will provide insights into the real applications of AI in different industries like health care and medicine, banking and finance, manufacturing, retail, sports, and many more, including how itÕs transforming our life which probably many of us are not even aware of. And most importantly how a country like India can be benefited by embracing this groundbreaking technology and the huge opportunities and economic impact that AI can bring. Also, you will get to know how different countries like USA, CHINA, UK, EUROPE, RUSSIA, including INDIA is already in the race of being AI Superpower; because AI is the future and whoever becomes the leader in AI will become the ruler of the world.Ê WHO THIS BOOK IS FORÊÊ This book is useful for AI Professionals, Data Scientists...... The content of the book is for both Technical and Non Technical readers who wants to know the applications of AI in different industries. No prior technical or programming experience is required to understand this book. This book can be used as a hand book for Data Scientist and Business SMEs who are in the process of identifying different use cases of Artificial Intelligence in their respective domains. Ê TABLE OF CONTENTS 1. Super Powers of AI Ð The Leaders and the ContendersÊ 2. AI Ð The Core Fabric for NextGen BankingÊ 3. How an AI Framework can be a Game-Changer in Your AI JourneyÊÊ 4. Artificial Neural NetworksÊ 5. The Next Wave of Automation will Transform our Living ExperienceÊ 6. Self-Driving Cars Ð Socio Economic Impact of Autonomous VehiclesÊ 7. How Artificial Intelligence is Transforming the BFSI Sector 43 8. AI Now is a Race Among Startups and Tech GiantsÊÊ 9. AI in the top of priorities for CIOs and CTOs 10. AI in Sports 11. How a Country can be Transformed Using Artificial Intelligence 12. DonÕt Underestimate the Power of an AI ChatbotÊ 13. Industry Adoption of Cognitive and Artificial IntelligenceÊ 14. Artificial Intelligence Ð The Biggest Disruptor in the BFSI Industry 15. AI in Healthcare 16. AI in Cyber Security Ð Cognitive Cyber Defense 17. Be Aware of Cyber ThreatÊ 18. AI Revolution in India Ð National Strategy for AI 19. AI in Tour and Travels Ð Journey of a Digital TravelerÊ 20. Top 100 Business Use Cases of Artificial Intelligence 21. T Impact of Modern Automation on Employment
Book Synopsis Artificial Intelligence Needs Assessment Survey in Africa by : Neupane, Bhanu
Download or read book Artificial Intelligence Needs Assessment Survey in Africa written by Neupane, Bhanu and published by UNESCO Publishing. This book was released on 2021-01-22 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis AI and education by : Miao, Fengchun
Download or read book AI and education written by Miao, Fengchun and published by UNESCO Publishing. This book was released on 2021-04-08 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
Book Synopsis Applications of Artificial Intelligence in COVID-19 by : Sachi Nandan Mohanty
Download or read book Applications of Artificial Intelligence in COVID-19 written by Sachi Nandan Mohanty and published by Springer Nature. This book was released on 2021-09-29 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.
