Advertisement
| artificial intelligence in higher education: Artificial Intelligence in Higher Education Prathamesh Padmakar Churi, Shubham Joshi, Mohamed Elhoseny, Amina Omrane, 2022-08-29 The global adoption of technology in education is transforming the way we teach and learn. Artificial Intelligence is one of the disruptive techniques to customize the experience of different learning groups, teachers, and tutors. This book offers knowledge in intelligent teaching/learning systems, and advances in e-learning and assessment systems. The book highlights the broad field of artificial intelligence applications in education, regarding any type of artificial intelligence that is correlated with education. It discusses learning methodologies, intelligent tutoring systems, intelligent student guidance and assessments, intelligent education chatbots, and artificial tutors and presents the practicality and applicability implications of AI in education. The book offers new and current research along with case studies showing the latest techniques and educational activities. The book will find interest with academicians which includes teachers, students of various disciplines, higher education policymakers who believe in transforming the education industry, and research scholars who are pursuing their Ph.D. or Post Doc. in the field of Education Technology, Education, and Learning, etc. and those working in the area of Education Technology and Artificial Intelligence such industry professionals in education management and e-learning companies. |
| artificial intelligence in higher education: Robot-Proof, revised and updated edition Joseph E. Aoun, 2024-10-15 A fresh look at a “robot-proof” education in the new age of generative AI. In 2017, Robot-Proof, the first edition, foresaw the advent of the AI economy and called for a new model of higher education designed to help human beings flourish alongside smart machines. That economy has arrived. Creative tasks that, seven years ago, seemed resistant to automation can now be performed with a simple prompt. As a result, we must now learn not only to be conversant with these technologies, but also to comprehend and deploy their outputs. In this revised and updated edition, Joseph Aoun rethinks the university’s mission for a world transformed by AI, advocating for the lifelong endeavor of a “robot-proof” education. Aoun puts forth a framework for a new curriculum, humanics, which integrates technological, data, and human literacies in an experiential setting, and he renews the call for universities to embrace lifelong learning through a social compact with government, employers, and learners themselves. Drawing on the latest developments and debates around generative AI, Robot-Proof is a blueprint for the university as a force for human reinvention in an era of technological change—an era in which we must constantly renegotiate the shifting boundaries between artificial intelligence and the capacities that remain uniquely human. |
| artificial intelligence in higher education: A Machine Learning, Artificial Intelligence Approach to Institutional Effectiveness in Higher Education John N. Moye Ph.D., 2019-07-29 This book presents a practical, effective, and systematic approach to the measurement, assessment, and sensemaking of institutional performance. Included are strategies to measure and assess the performance of Curriculum, Learning, Instruction, Support Services, and Program Feasibility as well as a meaningful Environmental Scanning method. |
| artificial intelligence in higher education: Fostering Communication and Learning With Underutilized Technologies in Higher Education Ali, Mohammed Banu, Wood-Harper, Trevor, 2020-09-04 Higher education is undergoing radical changes with the arrival of emerging technology that can facilitate better teaching and learning experiences. However, with a lack of technical awareness, technophobia, and security and trust issues, there are several barriers to the uptake of emerging technologies. As a result, many of these new technologies have been overlooked or underutilized. In the information systems and higher education domains, there exists a need to explore underutilized technologies in higher education that can foster communication and learning. Fostering Communication and Learning With Underutilized Technologies in Higher Education is a critical reference source that provides contemporary theories in the area of technology-driven communication and learning in higher education. The book offers new knowledge about educational technologies and explores such themes as artificial intelligence, digital learning platforms, gamification tools, and interactive exhibits. The target audience includes researchers, academicians, practitioners, and students who are working or have a keen interest in information systems, learning technologies, and technology-led teaching and learning. Moreover, the book provides an understanding and support to higher education practitioners, faculty, educational board members, technology vendors and firms, and the Ministry of Education. |
| artificial intelligence in higher education: Artificial Intelligence in Higher Education and Scientific Research Fatima Roumate, 2023 This book explains the interaction between artificial intelligence and higher education. It explores artificial intelligence's tangible and intangible impact on higher education and scientific research and discusses how higher education and scientific research enhance the progress of artificial intelligence technologies. Based on systematic analysis with a multidisciplinary approach and a combination of theory and practice, the book brings original perspectives from the massive use of artificial intelligence in higher education and scientific research since the appearance of COVID-19. This book also discusses ethics in artificial intelligence, taking into consideration the recommendation on ethics of artificial intelligence adopted by UNESCO. This book explains the importance of technological sovereignty and new strategies to face current and future challenges related to e-learning, deep learning, and machine learning. |
| artificial intelligence in higher education: Machine Learning Approaches for Improvising Modern Learning Systems Zameer Gulzar, A. Anny Leema, 2020 This book explores the theoretical and practical aspects of technological enhancements in educational environments and the popularization of contemporary learning methods in developing countries-- |
| artificial intelligence in higher education: Artificial Intelligence in Education Wayne Holmes, Maya Bialik, Charles Fadel, 2019-02-28 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 |
| artificial intelligence in higher education: Artificial Intelligence in Higher Education Vladimir Marik, Olga Stepankova, Zdenek Zdrahal, 2014-09-01 |
| artificial intelligence in higher education: Artificial Intelligence Applications in Distance Education Kose, Utku, 2014-07-31 This book seeks to examine the efforts made to bridge the gap between student and educator with computer applications through an in-depth discussion of applications employed to overcome the problems encountered during educational processes--Provided by publisher. |
| artificial intelligence in higher education: Embracing Chatbots in Higher Education Alexander M. Sidorkin, 2024-03-28 This book explores the integration of AI-powered chatbots such as ChatGPT into higher education for instructional and communication purposes. The author emphasizes the responsibility of higher education institutions to equip students with advanced skills for writing with AI assistance, and prepare them for an increasingly AI-driven world. Offering numerous practical tips, the book demonstrates how universities can increase student success, and stem the rising cost of higher education by employing AI tools. The chapters discuss streamlining tasks such as grading, providing feedback, and handling administrative duties, to show how educators can be enabled to focus on more meaningful aspects of their work. The author also reflects on the philosophical and ethical considerations and potential pitfalls of relying on AI in higher education, including concerns about academic integrity and the importance of human input in the learning process. The author offers a responsible and informed approach to incorporating the new powerful tools into the academic landscape. This volume will be a key resource for higher education faculty and administrators seeking to navigate the complex intersection of AI and writing. |
| artificial intelligence in higher education: AI and education Miao, Fengchun, Holmes, Wayne, Ronghuai Huang, Hui Zhang, UNESCO, 2021-04-08 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] |
| artificial intelligence in higher education: Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19 Allam Hamdan, Aboul Ella Hassanien, Timothy Mescon, Bahaaeddin Alareeni, 2022-02-17 This book aims to assess the experience of education during COVID-19 pandemic and explore the future of application of technologies and artificial intelligence in education. Education delivery requires the support of new technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data, and machine learning to fight and aspire to new diseases. The academic community and those interested in education agree that education after the corona pandemic will not be the same as before. The book also questions the role of accreditation bodies (e.g., AACSB, etc.) to ensure the effectiveness and efficiency of technology tools in achieving distinguished education in times of crisis. |
| artificial intelligence in higher education: Innovative Learning Environments in STEM Higher Education Jungwoo Ryoo, Kurt Winkelmann, 2021-03-11 As explored in this open access book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students. In 2018, Drs. Ryoo and Winkelmann explored the opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories: personalized and adaptive learning, multimodal learning formats, cross/extended reality (XR), and artificial intelligence (AI) and machine learning (ML). This open access book gathers the perspectives expressed during the X-FILEs workshop and its follow-up activities. It is designed to help inform education policy makers, researchers, developers, and practitioners about the adoption and implementation of ILEs in higher education. |
| artificial intelligence in higher education: Applications of Machine Learning and Artificial Intelligence in Education Seda Khadimally, 2021 Focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instructional contexts. Topics covered include data coding and social networking technology. |
| artificial intelligence in higher education: Radical Solutions for Digital Transformation in Latin American Universities Daniel Burgos, John Willian Branch, 2021-07-24 This book presents how Digital Transformation is a requirement to upgrade Latin American universities to a next level in management, lecturing and learning processes and strategies. The book starts with a thorough introduction of the Latin American context addressing the three main topics in the book: Digital Transformation, Higher Education and Artificial Intelligence & Industry 4.0. They will be depicted by region, with a clear distribution between Central America & Mexico, Comunidad Andina (Perú, Colombia, Chile, Ecuador, Bolivia), Mercosur (Argentina, Brasil, Paraguay and Uruguay), and other countries. The book also shows how online learning is a key part of the transformation, with a clear focus on learning management systems, innovation and learning analytics. Further, personalised services for every single profile at the university (students, lecturers, academic managers) are presented to guarantee inclusive education service aggregation for networked campuses. Following, the book addresses strategy and overall services that concentrate on sustainability and revenue models integrated with a strategic planning. Finally a set of chapters will show specific experiences and case studies of direct application of Artificial Intelligence and Technology 4.0, where the readers can learn from and transfer directly into their educational contexts. |
| artificial intelligence in higher education: Revolutionizing Education in the Age of AI and Machine Learning Habib, Maki K., 2019-09-15 Artificial Intelligence (AI) serves as a catalyst for transformation in the field of digital teaching and learning by introducing novel solutions to revolutionize all dimensions of the educational process, leading to individualized learning experiences, teachers playing a greater role as mentors, and the automation of all administrative processes linked to education. AI and machine learning are already contributing to and are expected to improve the quality of the educational process by providing advantages such as personalized and interactive tutoring with the ability to adjust the content and the learning pace of each individual student while assessing their performance and providing feedback. These shifts in the educational paradigm have a profound impact on the quality and the way we live, interact with each other, and define our values. Thus, there is a need for an earnest inquiry into the cultural repercussions of this phenomenon that extends beyond superficial analyses of AI-based applications in education. Revolutionizing Education in the Age of AI and Machine Learning addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion of artificial intelligence in the field of education including potential consequences these impacts could have on culture, social relations, and values. The content within this publication covers such topics as AI and tutoring, role of teachers, physical education and sports, interactive E-learning and virtual laboratories, adaptive curricula development, support critical thinking, and augmented intelligence and it is designed for educators, curriculum developers, instructional designers, educational software developers, education consultants, academicians, administrators, researchers, and professionals. |
| artificial intelligence in higher education: OECD Digital Education Outlook 2021 Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots OECD, 2021-06-08 How might digital technology and notably smart technologies based on artificial intelligence (AI), learning analytics, robotics, and others transform education? This book explores such question. It focuses on how smart technologies currently change education in the classroom and the management of educational organisations and systems. |
| artificial intelligence in higher education: Artificial Intelligence Supported Educational Technologies Niels Pinkwart, Sannyuya Liu, 2020-04-29 This book includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019. The contributors are distinguished researchers from computer science and learning science. The contributions are organized in four sections: (1) Overviews and systematic perspectives , (2) Example Systems, (3) Algorithms, and (4) Insights gained from empirical studies. For example, different data mining and machine learning methods to quantify different profiles of a learner in different learning situations (including interaction patterns, cognitive modes, knowledge skills, interests and emotions etc.) as well as connections to measurements in psychology and learning sciences are discussed in the chapters. |
| artificial intelligence in higher education: Impacts of Generative AI on Creativity in Higher Education Fields, Ziska, 2024-08-27 Many educators in the realm of higher education face the critical challenge of fostering creativity in students using traditional teaching methods. In today's rapidly evolving world, these methods have become inadequate to nurture the innovative thinking demanded by modern society. Impacts of Generative AI on Creativity in Higher Education reveals a solution in the integration of generative AI into higher education. To revolutionize how we nurture and harness student creativity, the book explores the intersection of creativity, generative AI, and higher education with a fresh perspective and practical guidance for educators and institutions. It delves into the fundamental concepts of generative AI and its potential applications, providing educators with the tools to create more engaging and innovative learning environments. |
| artificial intelligence in higher education: Artificial Intelligence in Higher Education Vladimír Mařík, Olga Štěpánková, 1990-08-08 This volume presents the written versions of talks delivered at the symposium The advent of AI in Higher Education held in Prague, Czechoslovakia, October 23-25, 1989. Contributions review the current impact of AI on the educational process, stressing the problems and needs of universities. Particular systems, projects and methodologies are de scribed with the aim of gathering and generalizing the experience obtained. The latest developments prove that AI offers interesting methods which could be used with success across a wider range in the domain of education. The nature and spirit of AI forms a new phenomenon which necessitates reconsidering the whole educational process. Papers in this volume describe sophisticated tutoring systems as well as suggestions for new curricula. |
| artificial intelligence in higher education: Redesigning Higher Education Initiatives for Industry 4.0 Raman, Arumugam, Rathakrishnan, Mohan, 2019-03-29 The Fourth Industrial Revolution is introducing automation technology into all major disciplines, including business, engineering, and education. Higher education institutions need to incorporate this digital transformation in order to remain competitive. Redesigning Higher Education Initiatives for Industry 4.0 is an essential reference source that discusses education strategies for human-computer interactions in an automated world and the role of education in conjunction with artificial intelligence and virtual technologies. Featuring research on topics such as e-learning, mobile devices, and artificial intelligence, this book is ideally designed for professionals, IT specialists, researchers, librarians, administrators, and educators. |
| artificial intelligence in higher education: Artificial Intelligence in Schools Varun Arora, 2021-12-30 Artificial Intelligence in Schools is the first book to explore the use of Artificial Intelligence (AI) as a tool to enhance K–12 instruction and administration. Every industry and sector will be drastically affected by the presence of artificial intelligence, and schooling is no exception! Written for the in-service community—leaders, administrators, coaches, and teachers alike—this is your one-stop opportunity to make sure you don’t fall behind the fast pace and promising innovations of today’s most advanced learning technology. Author Varun Arora presents AI as a problem-solving tool for teaching and learning, exploring its potential and application in real-world school contexts and in the language of educators. Covering curriculum development, feedback and scoring, student empowerment, behavioral and classroom management, college readiness, and more, the book is full of novel insights and concrete, strategic takeaways. |
| artificial intelligence in higher education: Learning with e's Steve Wheeler, 2015-01-16 In an age where young people seem to have a natural affinity with smartphones, computer games and social media, teachers and lecturers face a big challenge - or a golden opportunity. How can new technology promote learning, engage students and motivate them to sustain a lifelong career in learning? For educators everywhere, our challenge is to take devices that have the potential for great distraction and boldly appropriate them as tools that can inspire and engage. On the back of Steve's hugely popular blog, also named 'Learning with 'e's', he shows how the world of learning is changing, and how new technology - and you and I - can make a difference. The proliferation of digital technologies and cultures is having a profound impact on learning, prompting questions which need answers. How will technology change our conceptions of learning? How will new ways of learning impact upon our uses of technology? How will teachers and lecturers' roles change; what will they need to know; and what will we see learners doing in the future? Grounded in his research and in pedagogical theory, Steve explores the practical ways in which technology is influencing how we learn, and looks toward emerging trends to examine what the future of learning may look like. Subjects covered include: learning with technology, theories for the digital age, digital literacies, pedagogical theories and practices, new and emerging technologies, new learning architectures, changing education, global educators, a 21st century curriculum. For teachers, lecturers, learning and development professionals and anybody who wants to be inspired by the new ways learning is being revolutionised through the use of new and emerging technologies. |
| artificial intelligence in higher education: Applications of Artificial Intelligence in Business, Education and Healthcare Allam Hamdan, Aboul Ella Hassanien, Reem Khamis, Bahaaeddin Alareeni, Anjum Razzaque, Bahaa Awwad, 2021-07-12 This book focuses on the implementation of Artificial Intelligence in Business, Education and Healthcare, It includes research articles and expository papers on the applications of Artificial Intelligence on Decision Making, Entrepreneurship, Social Media, Healthcare, Education, Public Sector, FinTech, and RegTech. It also discusses the role of Artificial Intelligence in the current COVID-19 pandemic, in the health sector, education, and others. It also discusses the impact of Artificial Intelligence on decision-making in vital sectors of the economy. |
| artificial intelligence in higher education: Algorithms of Education Kalervo N. Gulson, Sam Sellar, P. Taylor Webb, 2022-05-17 A critique of what lies behind the use of data in contemporary education policy While the science fiction tales of artificial intelligence eclipsing humanity are still very much fantasies, in Algorithms of Education the authors tell real stories of how algorithms and machines are transforming education governance, providing a fascinating discussion and critique of data and its role in education policy. Algorithms of Education explores how, for policy makers, today’s ever-growing amount of data creates the illusion of greater control over the educational futures of students and the work of school leaders and teachers. In fact, the increased datafication of education, the authors argue, offers less and less control, as algorithms and artificial intelligence further abstract the educational experience and distance policy makers from teaching and learning. Focusing on the changing conditions for education policy and governance, Algorithms of Education proposes that schools and governments are increasingly turning to “synthetic governance”—a governance where what is human and machine becomes less clear—as a strategy for optimizing education. Exploring case studies of data infrastructures, facial recognition, and the growing use of data science in education, Algorithms of Education draws on a wide variety of fields—from critical theory and media studies to science and technology studies and education policy studies—mapping the political and methodological directions for engaging with datafication and artificial intelligence in education governance. According to the authors, we must go beyond the debates that separate humans and machines in order to develop new strategies for, and a new politics of, education. |
| artificial intelligence in higher education: Alternative Universities David J. Staley, 2019-03-26 Imagining the universities of the future. How can we re-envision the university? Too many examples of what passes for educational innovation today—MOOCs especially—focus on transactions, on questions of delivery. In Alternative Universities, David J. Staley argues that modern universities suffer from a poverty of imagination about how to reinvent themselves. Anyone seeking innovation in higher education today should concentrate instead, he says, on the kind of transformational experience universities enact. In this exercise in speculative design, Staley proposes ten models of innovation in higher education that expand our ideas of the structure and scope of the university, suggesting possibilities for what its future might look like. What if the university were designed around a curriculum of seven broad cognitive skills or as a series of global gap year experiences? What if, as a condition of matriculation, students had to major in three disparate subjects? What if the university placed the pursuit of play well above the acquisition and production of knowledge? By asking bold What if? questions, Staley assumes that the university is always in a state of becoming and that there is not one idea of the university to which all institutions must aspire. This book specifically addresses those engaged in university strategy—university presidents, faculty, policy experts, legislators, foundations, and entrepreneurs—those involved in what Simon Marginson calls university making. Pairing a critique tempered to our current moment with an explanation of how change and disruption might contribute to a new golden age for higher education, Alternative Universities is an audacious and essential read. |
| artificial intelligence in higher education: AI Ethics in Higher Education: Insights from Africa and Beyond Caitlin C. Corrigan, Simon Atuah Asakipaam, Jerry John Kponyo, Christoph Luetge, 2023-01-20 This open access book tackles the pressing problem of integrating concerns related to Artificial Intelligence (AI) ethics into higher education curriculums aimed at future AI developers in Africa and beyond. For doing so, it analyzes the present and future states of AI ethics education in local computer science and engineering programs. The authors share relevant best practices and use cases for teaching, develop answers to ongoing organizational challenges, and reflect on the practical implications of different theoretical approaches to AI ethics. The book is of great interest to faculty members, researchers, and students in the fields of artificial intelligence, computer science, mathematics, computer engineering, and related areas, as well as higher education administration. |
| artificial intelligence in higher education: Adopting Artificial Intelligence Tools in Higher Education Thangavel Murugan, 2024-12 The book offers a modern exploration of the intersection of technology and education. It examines the prospects of integrating different AI tools into higher education and explores the challenges, opportunities, and innovative solutions for the different issues surrounding the use of AI in higher education. Each chapter discusses a different area where AI can enhance the educational landscape, such as AI Integration in Higher Education and Immersive Virtual Reality-Based Learning Environments. The book also emphasizes Student-Centered Learning, AI-powered frameworks for academic excellence, and Learner-Centric Pedagogies. Furthermore, it delves into the role of AI in Personalized Learning in STEM courses, the development of AI-based Tutoring Systems, and the use of Machine Learning to identify students' mental health status. The volume concludes with Dynamic Horizon, which examines how AI and gamification are shaping higher education. This book is essential for educators, administrators, researchers, and policymakers who want to leverage AI to create an adaptive, personalized, and engaging learning environment. Adopting Artificial Intelligence Tools in Higher Education provides valuable insights into the future of education, paving the way for a more empowered and enlightened academic world-- |
| artificial intelligence in higher education: Handbook of Research on Emerging Trends and Applications of Machine Learning Solanki, Arun, Kumar, Sandeep, Nayyar, Anand, 2019-12-13 As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning. |
| artificial intelligence in higher education: Teaching in the Post COVID-19 Era Ismail Fayed, Jill Cummings, 2022-01-03 This handbook showcases extraordinary educational responses in exceptional times. The scholarly text discusses valuable innovations for teaching and learning in times of COVID-19 and beyond. It examines effective teaching models and methods, technology innovations and enhancements, strategies for engagement of learners, unique approaches to teacher education and leadership, and important mental health and counseling models and supports. The unique solutions here implement and adapt effective digital technologies to support learners and teachers in critical times – for example, to name but a few: Florida State University’s Innovation Hub and interdisciplinary project-based approach; remote synchronous delivery (RSD) and blended learning approaches used in Yorkville University’s Bachelor of Interior Design, General Studies, and Business programs; University of California’s strategies for making resources affordable to students; resilient online assessment measures recommended from Qatar University; strategies in teacher education from the University of Toronto/OISE to develop equity in the classroom; simulation use in health care education; gamification strategies; innovations in online second language learning and software for new Canadian immigrants and refugees; effective RSD and online delivery of directing and acting courses by the Toronto Film School, Canada; academic literacy teaching in Colombia; inventive international programs between Japan and Taiwan, Japan and the USA, and Italy and the USA; and, imaginative teaching and assessment methods developed for online Kindergarten – Post-Secondary learners and teachers. Authors share unique global perspectives from a network of educators and researchers from more than thirty locations, schools, and post-secondary institutions worldwide. Educators, administrators, policymakers, and instructional designers will draw insights and guidelines from this text to sustain education during and beyond the COVID-19 era. |
| artificial intelligence in higher education: E-Business Robert M.X. Wu, Marinela Mircea, 2021-05-19 This book provides the latest viewpoints of scientific research in the field of e-business. It is organized into three sections: “Higher Education and Digital Economy Development”, “Artificial Intelligence in E-Business”, and “Business Intelligence Applications”. Chapters focus on China’s higher education in e-commerce, digital economy development, natural language processing applications in business, Information Technology Governance, Risk and Compliance (IT GRC), business intelligence, and more. |
| artificial intelligence in higher education: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| artificial intelligence in higher education: A Citizen's Guide to Artificial Intelligence John Zerilli, 2021-02-23 A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation. |
| artificial intelligence in higher education: Information Literacy in Everyday Life Serap Kurbanoğlu, Sonja Špiranec, Yurdagül Ünal, Joumana Boustany, Maija Leena Huotari, Esther Grassian, Diane Mizrachi, Loriene Roy, 2019-02-19 This book constitutes the refereed post-conference proceedings of the 6th European Conference on Information Literacy, ECIL 2018, held in Oulu, Finland, in September 2018. The 58 revised papers included in this volume were carefully reviewed and selected from 241 submissions. The papers cover a wide range of topics in the field of information literacy and focus on information literacy in everyday life. They are organized in the following topical sections: information literacy in different contexts of everyday life; information literacy, active citizenship and community engagement; information literacy, health and well-being; workplace information literacy and employability; information literacy research and information literacy in theoretical context; information seeking and information behavior; information literacy for different groups in different cultures and countries; information literacy for different groups in different cultures and countries; information literacy instruction; information literacy and aspects of education; data literacy and reserach data management; copyright literacy; information literacy and lifelong learning. |
| artificial intelligence in higher education: The Future of Higher Education Lasse Rouhiainen, 2016-10-10 Do you believe that traditional education could be improved with the development of new technologies? Are you interested in learning the best practices of running a successful and effective online course? Have you ever thought about the potential impact that artificial intelligence could have on classrooms around the world? In today's world, changes in technology are happening much faster than we can appreciate, and we have a unique opportunity to learn from and apply these tools in new and creative ways, impacting the ways that we learn every day. After reading this book you will know: Best practices and techniques for e-learning that you can quickly implement for your own Online courses. How artificial intelligence will impact our world in the not-so-distant future and the changes it will generate in the field of education. How immersive technologies like virtual reality and augmented reality can be implemented in education. A summary of skills that will be most sought after in the world of the future. And a whole lot more... You will also find valuable opinions on the world of technology and education from various experts in their fields. Take action today! Scroll to the top and select the BUY button. |
| artificial intelligence in higher education: The Evolution of Artificial Intelligence in Higher Education Miltiadis D. Lytras, Afnan Alkhaldi, Sawsan Malik, Andreea Claudia Serban, Tahani Aldosemani, 2024-11-25 The Evolution of Artificial Intelligence in Higher Education is a comprehensive guide to the transformative potential of AI in the higher education landscape, focused on the need to nurture technology literacy among educators and learners. |
| artificial intelligence in higher education: The Real World of College Wendy Fischman, Howard Gardner, 2022-03-22 Why higher education in the United States has lost its way, and how universities and colleges can focus sharply on their core mission. For The Real World of College, Wendy Fischman and Howard Gardner analyzed in-depth interviews with more than 2,000 students, alumni, faculty, administrators, parents, trustees, and others, which were conducted at ten institutions ranging from highly selective liberal arts colleges to less-selective state schools. What they found challenged characterizations in the media: students are not preoccupied by political correctness, free speech, or even the cost of college. They are most concerned about their GPA and their resumes; they see jobs and earning potential as more important than learning. Many say they face mental health challenges, fear that they don’t belong, and feel a deep sense of alienation. Given this daily reality for students, has higher education lost its way? Fischman and Gardner contend that US universities and colleges must focus sharply on their core educational mission. Fischman and Gardner, both recognized authorities on education and learning, argue that higher education in the United States has lost sight of its principal reason for existing: not vocational training, not the provision of campus amenities, but to increase what Fischman and Gardner call “higher education capital”—to help students think well and broadly, express themselves clearly, explore new areas, and be open to possible transformations. Fischman and Gardner offer cogent recommendations for how every college can become a community of learners who are open to change as thinkers, citizens, and human beings. |
| artificial intelligence in higher education: Strategy, Policy, Practice, and Governance for AI in Higher Education Institutions Almaraz-Menéndez, Fernando, Maz-Machado, Alexander, López-Esteban, Carmen, Almaraz-López, Cristina, 2022-05-27 The digital transformation of higher education institutions has accelerated in the last decade due to the confluent development of digital technologies. Understanding how artificial intelligence-enabled changes and improvements in universities in relation to teaching, management, sustainability, and research allows researchers to understand the advances and identify the challenges that may arise. This knowledge provides technological instruments as well as cognitive, philosophical, and epistemological tools to address different current issues. Strategy, Policy, Practice, and Governance for AI in Higher Education Institutions offers both empirical and theoretical information focused on artificial intelligence and its various applications in higher education institutions. It includes research results, authoritative overview articles, high quality analysis on trends, comparative studies, and analysis of cases that focus on issues including ethical issues and risks for applying AI in higher education, policies to introduce AI in curricula, and applications in teaching and learning. Covering topics such as artificial intelligence ethics, energy efficiency, and postsecondary administrative leadership, this premier reference source is an essential resource for computer scientists, AI scientists, administration of higher education institutions, educators and faculty of higher education, pre-service teachers, researchers, IT professionals, and academicians. |
| artificial intelligence in higher education: Self-Determined Learning Stewart Hase, Chris Kenyon, 2013-09-26 Heutagogy, or self-determined learning, redefines how we understand learning and provides some exciting opportunities for educators. It is a novel approach to educational practice, drawing on familiar concepts such as constructivism, capability, andragogy and complexity theory. Heutagogy is also supported by a substantial and growing body of neuroscience research. Self-Determined Learning explores how heutagogy was derived, and what this approach to learning involves, drawing on recent research and practical applications. The editors draw together contributions from educators and practitioners in different fields, illustrating how the approach can been used and the benefits its use has produced. The subjects discussed include: the nature of learning, heutagogy in the classroom, flexible curriculum, assessment, e-learning, reflective learning, action learning and research, and heutagogy in professional practice settings. |
| artificial intelligence in higher education: Moving Up Without Losing Your Way Jennifer M. Morton, 2021-04-20 Upward mobility through the path of higher education has been an article of faith for generations of working-class, low-income, and immigrant college students. While we know this path usually entails financial sacrifices and hard work, very little attention has been paid to the deep personal compromises such students have to make as they enter worlds vastly different from their own. Measuring the true cost of higher education for those from disadvantaged backgrounds, Moving Up without Losing Your Way looks at the ethical dilemmas of upward mobility--the broken ties with family and friends, the severed connections with former communities, and the loss of identity--faced by students as they strive to earn a successful place in society--Dust jacket. |
The Impact of Artificial Intelligence on Higher Education: An …
The aim of this study is to analyse the influence of AI on higher education, investigate its impact on the teaching and learning process, examine its effect on assessment and grading, and …
Faculty Perspectives Toward Artificial Intelligence in Higher …
The adoption of artificial intelligence (AI) technologies is revolutionizing higher education by significantly impacting teaching, learning, and research processes (Zawacki‐Richter et al., …
Artificial intelligence in higher education institutions: review of ...
In education institutions of higher learning, artificial intelligence presents unprecedented opportunities to enhance learning experiences, streamline administrative tasks and drive …
The Continued Rise of Artificial Intelligence in Higher Education
Apr 1, 2023 · Implementation of AI into higher education institutions is critical for future success. For students, it can greatly enhance educational support and career preparation. AI can …
Artificial Intelligence In Higher Education: A Systematic Review …
The rapid proliferation of artificial intelligence (AI) technologies has introduced transformative opportunities and challenges in higher education. Understanding the impact, trends, and …
BENEFITS, CHALLENGES, AND SAMPLE USE CASES OF …
In the following report, Hanover Research presents strategies for managing Artificial Intelligence (AI) in higher education settings. This report discusses the unique challenges that AI presents …
Integrating Artificial Intelligence in Higher Education: …
In higher education, AI has the potential to revolutionize teaching and learning, making education more personalized, efficient, and accessible [4, 5]. ChatGPT by OpenAI is an example of a …
ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION. A …
Introduction cation has been a topic for investigation since the early 1970s. However, concerns and challenges about the application of artificial intelligence in higher education (HE) r ignite …
Artificial Intelligence Applications in Higher Education: …
Artificial intelligence (AI) applications in education have recently garnered recognition and popularity and AI has revolutionized higher education in various ways.
Artificial Intelligence, Education and Assessment at UCL Laws
Artificial Intelligence, Education and Assessment at UCL Laws Current Thinking and Next Steps for the UK Legal Education Sector We are academics at the Faculty of Laws, University …
The Anticipated Impact of Artificial Intelligence on US Higher ...
Since the rise of generative artificial intelligence (GenAI) in late 2022, many scholars and thought leaders have wondered about its impact on higher education.
The Impact of Artificial Intelligence (AI) on Global Higher …
By tracing the historical integration of AI in higher education, from initial adoption to advanced applications such as online proctoring and content creation, this chapter addresses pertinent …
Systematic review of research on artificial intelligence …
Accord-ing to the report, experts anticipate AI in education to grow by 43% in the period 2018–2022, although the Horizon Report 2019 Higher Education Edition (Educause, 2019) …
Artificial intelligence and the transformation of higher …
Artificial intelligence (AI) advances and the rapid adoption of generative AI tools like ChatGPT present new opportunities and challenges for higher education.
Artificial Intelligence in Higher Education: A New Frontier for ...
In this study, we investigate the transformative impact of AI-driven educational technologies on the teaching and learning landscape in higher education. We examine the potential for these …
Generative Artificial Intelligence (AI) in higher education: a ...
This paper explores recent advancements and implications of artificial intelligence (AI) technology, with a specific focus on Large Language Models (LLMs) like ChatGPT 3.5, within the realm of …
Artificial Intelligence and the Disruption of Higher Education ...
Research has confirmed that the current use of AI in education (AIEd) leads to positive outcomes, including improved learning outcomes for students, along with increased access, increased …
Artificial Intelligence (AI) and its Potential Impact on the …
This preliminary paper approaches the topic of ‘Artificial Intelligence (AI) and its Potential Impact on the Future of Higher Education’ from a broad perspective. It provides a brief overview of the …
The More Things Change: The Ethical Impacts of Artificial …
UNESCO offers seven recommendations when it comes to AI policymaking in the context of education. These seven recommendations are presented here as they appear in ChatGPT and …
Artificial Intelligence and its Implications in Higher Education
Is there a clear aspect in the contexts of higher education that focuses on the changes arising from the new challenges based on digital education? What is the profile and what skills should …
The Impact of Artificial Intelligence on Higher Ed…
The aim of this study is to analyse the influence of AI on higher education, investigate its impact on the …
Faculty Perspectives Toward Artificial Intelligence in H…
The adoption of artificial intelligence (AI) technologies is revolutionizing higher education by significantly …
Artificial intelligence in higher education: the stat…
This systematic review provides unique findings with an up-to-date examination of artificial intelligence …
Artificial intelligence in higher education instituti…
In education institutions of higher learning, artificial intelligence presents unprecedented opportunities to …
The Continued Rise of Artificial Intelligence in H…
Apr 1, 2023 · Implementation of AI into higher education institutions is critical for future success. For students, it …
