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| artificial intelligence in education research paper: 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 education research paper: 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 education research paper: The Economics of Artificial Intelligence Ajay Agrawal, Joshua Gans, Avi Goldfarb, Catherine Tucker, 2024-03-05 A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system. |
| artificial intelligence in education research paper: 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 education research paper: International Perspectives on the Role of Technology in Humanizing Higher Education Enakshi Sengupta, Patrick Blessinger, Mandla Makhanya, 2020-11-12 By highlighting the use of emerging technologies in pedagogy and drawing on real-life case studies, the authors in this volume address the ongoing debate that technology brings a positive effect on education and beyond. They demonstrate how technology continues to fulfil the challenges of creating a more democratic educational environment. |
| artificial intelligence in education research paper: 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 education research paper: 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 education research paper: 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 education research paper: Educational Design Research Jan Van den Akker, Koeno Gravemeijer, Susan McKenney, Nienke Nieveen, 2006-11-22 The field of design research has been gaining momentum over the last five years, particularly in educational studies. As papers and articles have grown in number, definition of the domain is now beginning to standardise. This book fulfils a growing need by providing a synthesised assessment of the use of development research in education. It looks at four main elements: background information including origins, definitions of development research, description of applications and benefits and risks associated with studies of this kind how the approach can serve the design of learning environments and educational technology quality assurance - how to safeguard academic rigor while conducting design and development studies a synthesis and overview of the topic along with relevant reflections. |
| artificial intelligence in education research paper: 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 education research paper: Understanding the impact of artificial intelligence on skills development UNESCO International Centre for Technical and Vocational Education and Training, 2021-04-02 |
| artificial intelligence in education research paper: Information Systems, E-learning, and Knowledge Management Research Miltiadis D. Lytras, Da Ruan, Robert D. Tennyson, Patricia Ordonez De Pablos, Francisco José García Peñalvo, Lazar Rusu, 2013-01-11 This book constitutes the proceedings of the 4th World Summit on the Knowledge Society, WSKS 2011, held in Mykonos, Greece, in September 2011. The 90 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers address issues such as information technology, e-learning, e-business, cultural heritage, e-government. |
| artificial intelligence in education research paper: Handbook of Research on Learning in the Age of Transhumanism Sisman-Ugur, Serap, Kurubacak, Gulsun, 2019-05-03 As a movement, transhumanism aims to upgrade the human body through science, constantly pushing back the limits of a person by using cutting-edge technologies to fix the human body and upgrade it beyond its natural abilities. Transhumanism can not only change human habits, but it can also change learning practices. By improving human learning, it improves the human organism beyond natural and biological limits. The Handbook of Research on Learning in the Age of Transhumanism is an essential research publication that discusses global values, norms, and ethics that relate to the diverse needs of learners in the digital world and addresses future priorities and needs for transhumanism. The book will identify and scrutinize the needs of learners in the age of transhumanism and examine best practices for transhumanist leaders in learning. Featuring topics such as cybernetics, pedagogy, and sociology, this book is ideal for educators, trainers, instructional designers, curriculum developers, professionals, researchers, academicians, policymakers, and librarians. |
| artificial intelligence in education research paper: Integrating Generative AI in Education to Achieve Sustainable Development Goals Doshi, Ruchi, Dadhich, Manish, Poddar, Sandeep, Hiran, Kamal Kant, 2024-06-03 A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical questions surface about the future roles of educators and the integrity of assessment processes. AIs rapid progression prompts an exploration of the competencies our education systems must cultivate in a world where human and machine intelligence are becoming increasingly interconnected. Against this backdrop of transformative uncertainty, Integrating Generative AI in Education to Achieve Sustainable Development Goals addresses profound challenges and offers promising solutions at the crossroads of AI and education. This book assembles distinguished academics, researchers, and practitioners, forming a collective voice on the intersection of Generative AI and education. The three-part structure dissects the technical aspects of AI-powered innovations in educational design, explores multidisciplinary applications enhancing educational content, and highlights AI-driven solutions to address equality and inclusion concerns within educational systems. The book also underscores the importance of ethical considerations of generative AI to ensure a future where technology serves the broader goals of sustainability and equitable education. |
| artificial intelligence in education research paper: Pedagogy, Education, and Praxis in Critical Times Kathleen Mahon, Christine Edwards-Groves, Susanne Francisco, Mervi Kaukko, Stephen Kemmis, Kirsten Petrie, 2020-10-22 This book critically explores urgent questions that researchers, educators, and policy makers need to consider and address in order to better our understanding and capacity to transform education. Focusing on areas that underpin the empirical, theoretical, and strategic research of the Pedagogy, Education and Praxis (PEP) International Research Network, it discusses the following topics: the nature of educational praxis; research approaches that facilitate praxis and praxis development; changing cultural, social, political and material conditions affecting the educational practices of teachers; and how good professional practice in teaching, leading, and professional learning are understood and experienced. Presenting findings emerging from the Pedagogy, Education and Praxis research, the book raises new questions and offers new ways of thinking about the identified issues and themes in light of current educational concerns and the prevalence of neoliberal conditions being experienced in educational settings around the globe. It provides supporting evidence and illustrative examples to help readers understand important concepts, situations, and concerns, and brings together intellectual and cultural-historical traditions that, when considered in relation to each other, open up critical opportunities and ideas orienting readers towards future educational transformation. |
| artificial intelligence in education research paper: Embedding STEAM in Early Childhood Education and Care Caroline Cohrssen, Susanne Garvis, 2021-05-28 This book approaches STEAM (Science, Technology, Engineering, the Arts and Mathematics) in early childhood education from multiple angles. It focuses on the teaching and learning of children from two years of age to the early years of school. Proponents of STEAM describe how it can create opportunities for children to learn creatively, and various chapter authors make strong connections between discipline areas within the context of an informal curriculum. Others advocate for an integrated STEM, rather than STEAM, approach. With a light touch on theory and a focus on how to embed STE(A)M in an integrated early childhood curriculum, the editors and contributors examine the STEAM versus STEM question from multiple angles. The chapters provide helpful frameworks for parents, teachers and higher education institutions, and make practical suggestions of ways to support young children’s inquiry learning. Drawing on pedagogy and research from around the world, this book will be of interest to scholars of STEAM education, early childhood educators, students of early childhood education and parents of young children. |
| artificial intelligence in education research paper: Artificial Intelligence in Healthcare Adam Bohr, Kaveh Memarzadeh, 2020-06-21 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 |
| artificial intelligence in education research paper: Artificial Intelligence with Python Prateek Joshi, 2017-01-27 Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application. |
| artificial intelligence in education research paper: MOOCs and Open Education in the Global South Ke Zhang, Curtis J. Bonk, Thomas C. Reeves, Thomas H. Reynolds, 2019-11-05 With e-learning technologies evolving and expanding at high rates, organizations and institutions around the world are integrating massive open online courses (MOOCs) and other open educational resources (OERs). MOOCs and Open Education in the Global South explores the initiatives that are leveraging these flexible systems to educate, train, and empower populations previously denied access to such opportunities. Featuring contributors leading efforts in rapidly changing nations and regions, this wide-ranging collection grapples with accreditation, credentialing, quality standards, innovative assessment, learner motivation and attrition, and numerous other issues. The provocative narratives curated in this volume demonstrate how MOOCs and OER can be effectively designed and implemented in vastly different ways in particular settings, as detailed by experts from Asia, Latin America, the Middle East, Africa, the Pacific/Oceania, and the Caribbean. This comprehensive text is an essential resource for policy makers, instructional designers, practitioners, administrators, and other MOOC and OER community stakeholders. |
| artificial intelligence in education research paper: Emerging Technologies in Virtual Learning Environments Becnel, Kim, 2019-06-28 The emergent phenomena of virtual reality, augmented reality, and mixed reality is having an impact on ways people communicate with technology and with each other. Schools and higher education institutions are embracing these emerging technologies and implementing them at a rapid pace. The challenge, however, is to identify well-defined problems where these innovative technologies can support successful solutions and subsequently determine the efficacy of effective virtual learning environments. Emerging Technologies in Virtual Learning Environments is an essential scholarly research publication that provides a deeper look into 3D virtual environments and how they can be developed and applied for the benefit of student learning and teacher training. This book features a wide range of topics in the areas of science, technology, engineering, arts, and math to ensure a blend of both science and humanities research. Therefore, it is ideal for curriculum developers, instructional designers, teachers, school administrators, higher education faculty, professionals, researchers, and students studying across all academic disciplines. |
| artificial intelligence in education research paper: Artificial Intelligence for Knowledge Management Mieczysław Lech Owoc, Maciej Pondel, 2022-08-07 This book features a selection of extended papers presented at the 7th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2019, held in Macao, China, in August 2019, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2019. The 8 revised and extended papers were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management such as machine learning, knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections. |
| artificial intelligence in education research paper: Conducting Educational Design Research Susan McKenney, Thomas Reeves, 2018-09-03 Educational design research blends scientific investigation with the systematic development and implementation of solutions to educational challenges. Empirical inquiry is conducted in real learning settings – not laboratories – to craft effective solutions to the complex challenges facing educational practitioners. At the same time, the research is carefully structured to produce theoretical understanding that can serve the work of others. Conducting Educational Design Research, 2nd Edition has been written to support graduate students as well as experienced researchers who are new to this approach. Part I describes the origins, outcomes, and generic approach. Part II discusses the core processes of the generic approach in detail. Part III recommends how to propose, report, and advance educational design research. In addition to expanded treatment of research goals and practicalities, more examples, and attention to design-based implementation research, this new edition features enhanced guidance. For each of the four core processes, this volume offers: assessment tools detailed, behind-the-scenes descriptions of actual project work examples of how specific theories have been used to enrich the work For decades, policies for educational research worldwide have swung back and forth between demanding rigor above all other concerns, and increasing emphasis on impact. These two qualities, rigor and impact, need not be mutually exclusive. This volume supports readers in grasping and realizing the potential of educational design research. It demonstrates how rigorous and relevant investigation can yield both theoretical understanding and solutions to urgent educational challenges. |
| artificial intelligence in education research paper: Teaching AI Michelle Zimmerman, 2018-12-15 Get the tools, resources and insights you need to explore artificial intelligence in the classroom and explore what students need to know about living in a world with AI. For many, artificial intelligence, or AI, may seem like science fiction, or inherently overwhelming. The reality is that AI is already being applied in industry and, for many of us, in our daily lives as well. A better understanding of AI can help you make informed decisions in the classroom that will impact the future of your students. Drawing from a broad variety of expert voices from countries including Australia, Japan, and South Africa, as well as educators from around the world and underrepresented student voices, this book explores some of the ways AI can improve education. These include educating learners about AI, teaching them about living in a world where they will be surrounded by AI and helping educators understand how they can use AI to augment human ability. Each chapter offers activities and questions to help you deepen your understanding, try out new concepts and reflect on the information presented. Links to media artifacts from trusted sources will help make your learning experience more dynamic while also providing additional resources to use in your classroom. This book: • Offers a unique approach to the topic, with chapter opening scenes, case studies, and featured student voices. • Discusses a variety of ways to teach students about AI, through design thinking, project-based learning and STEM connections. • Includes lesson ideas, activities and tools for exploring AI with your students. • Includes references to films and other media you can use in class to start discussions on AI or inspire design thinking and STEM projects. In Teaching AI, you’ll learn what AI is, how it works and how to use it to better prepare students in a world with increased human-computer interaction. |
| artificial intelligence in education research paper: AI in the Wild Peter Dauvergne, 2020-09-15 Examining the potential benefits and risks of using artificial intelligence to advance global sustainability. Drones with night vision are tracking elephant and rhino poachers in African wildlife parks and sanctuaries; smart submersibles are saving coral from carnivorous starfish on Australia's Great Barrier Reef; recycled cell phones alert Brazilian forest rangers to the sound of illegal logging. The tools of artificial intelligence are being increasingly deployed in the battle for global sustainability. And yet, warns Peter Dauvergne, we should be cautious in declaring AI the planet's savior. In AI in the Wild, Dauvergne avoids the AI industry-powered hype and offers a critical view, exploring both the potential benefits and risks of using artificial intelligence to advance global sustainability. |
| artificial intelligence in education research paper: 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 education research paper: Artificial Intelligence and Social Work Milind Tambe, Eric Rice, 2018-11-29 An introductory guide with real-life examples on using AI to help homeless youth, diabetes patients, and other social welfare interventions. |
| artificial intelligence in education research paper: Artificial Intelligence, Evolutionary Computing and Metaheuristics Xin-She Yang, 2012-07-27 Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it is hard to imagine how the world would be without computers and the Internet. Without Turing's work, especially the core concept of Turing Machine at the heart of every computer, mobile phone and microchip today, so many things on which we are so dependent would be impossible. 2012 is the Alan Turing year -- a centenary celebration of the life and work of Alan Turing. To celebrate Turing's legacy and follow the footsteps of this brilliant mind, we take this golden opportunity to review the latest developments in areas of artificial intelligence, evolutionary computation and metaheuristics, and all these areas can be traced back to Turing's pioneer work. Topics include Turing test, Turing machine, artificial intelligence, cryptography, software testing, image processing, neural networks, nature-inspired algorithms such as bat algorithm and cuckoo search, and multiobjective optimization and many applications. These reviews and chapters not only provide a timely snapshot of the state-of-art developments, but also provide inspiration for young researchers to carry out potentially ground-breaking research in the active, diverse research areas in artificial intelligence, cryptography, machine learning, evolutionary computation, and nature-inspired metaheuristics. This edited book can serve as a timely reference for graduates, researchers and engineers in artificial intelligence, computer sciences, computational intelligence, soft computing, optimization, and applied sciences. |
| artificial intelligence in education research paper: Artificial Intelligence in Education Ig Ibert Bittencourt, Mutlu Cukurova, Kasia Muldner, Rose Luckin, Eva Millán, 2020-07-04 This two-volume set LNAI 12163 and 12164 constitutes the refereed proceedings of the 21th International Conference on Artificial Intelligence in Education, AIED 2020, held in Ifrane, Morocco, in July 2020.* The 49 full papers presented together with 66 short, 4 industry & innovation, 4 doctoral consortium, and 4 workshop papers were carefully reviewed and selected from 214 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas. *The conference was held virtually due to the COVID-19 pandemic. |
| artificial intelligence in education research paper: Funding a Revolution National Research Council, Computer Science and Telecommunications Board, Committee on Innovations in Computing and Communications: Lessons from History, 1999-02-11 The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it. |
| artificial intelligence in education research paper: Artificial Intelligence: A New Synthesis Nils J. Nilsson, 1998-04-17 Intelligent agents are employed as the central characters in this introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. A distinguishing feature of this text is in its evolutionary approach to the study of AI. This book provides a refreshing and motivating synthesis of the field by one of AI's master expositors and leading researches. - An evolutionary approach provides a unifying theme - Thorough coverage of important AI ideas, old and new - Frequent use of examples and illustrative diagrams - Extensive coverage of machine learning methods throughout the text - Citations to over 500 references - Comprehensive index |
| artificial intelligence in education research paper: Artificial Intelligence and Tutoring Systems Etienne Wenger, 2014-05-12 Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge focuses on the cognitive approaches, methodologies, principles, and concepts involved in the communication of knowledge. The publication first elaborates on knowledge communication systems, basic issues, and tutorial dialogues. Concerns cover natural reasoning and tutorial dialogues, shift from local strategies to multiple mental models, domain knowledge, pedagogical knowledge, implicit versus explicit encoding of knowledge, knowledge communication, and practical and theoretical implications. The text then examines interactive simulations, existing CAI traditions, and learning environments. The manuscript elaborates on knowledge communication, didactics, and diagnosis. Topics include knowledge presentation and communication, pedagogical contexts, target levels of didactic operations, behavioral and epistemic diagnosis, and aspects of diagnostic experience. The publication is a dependable reference for researchers interested in the computational and cognitive approaches to the communication of knowledge. |
| artificial intelligence in education research paper: Artificial Intelligence in Education Seiji Isotani, Eva Millán, Amy Ogan, Peter Hastings, Bruce McLaren, Rose Luckin, 2019-06-20 This two-volume set LNCS 11625 and 11626 constitutes the refereed proceedings of the 20th International Conference on Artificial Intelligence in Education, AIED 2019, held in Chicago, IL, USA, in June 2019. The 45 full papers presented together with 41 short, 10 doctoral consortium, 6 industry, and 10 workshop papers were carefully reviewed and selected from 177 submissions. AIED 2019 solicits empirical and theoretical papers particularly in the following lines of research and application: Intelligent and interactive technologies in an educational context; Modelling and representation; Models of teaching and learning; Learning contexts and informal learning; Evaluation; Innovative applications; Intelligent techniques to support disadvantaged schools and students, inequity and inequality in education. |
| artificial intelligence in education research paper: Online Learning Nada Dabbagh, Brenda Bannan-Ritland, 2005 Jill couldn't help falling for Todd. He was handsome, charming, and they had incredible chemistry, but he had a wife, and they had an arrangement. Learning to live in a poly-amorous relationship was different for everyone involved. But they adjusted. Then entered Dean. Witty, romantic, and entirely available to be Jill's alone, he swept Jill off her feet in a way that would have answered her desires, but now only left her confused. A marriage proposal from Dean brought even more questions. Could Jill learn to be the one? |
| artificial intelligence in education research paper: ARTIFICIAL INTELLIGENCE IN EDUCATION: REVOLUTIONIZING LEARNING AND TEACHING Prof. (Dr.) Mita Banerjee, Prof. (Dr.) Sridipa Sinha, Dr. Pranay Pandey, 2024-08-25 |
| artificial intelligence in education research paper: Nature Inspired Computing Bijaya Ketan Panigrahi, M. N. Hoda, Vinod Sharma, Shivendra Goel, 2017-10-03 This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Nature Inspired Computing. The contents of this book will be useful to researchers and students alike. |
| artificial intelligence in education research paper: Artificial Intelligence in Education Seiji Isotani, Eva Millán, Amy Ogan, Peter Hastings, Bruce McLaren, Rose Luckin, 2019-06-20 This two-volume set LNCS 11625 and 11626 constitutes the refereed proceedings of the 20th International Conference on Artificial Intelligence in Education, AIED 2019, held in Chicago, IL, USA, in June 2019. The 45 full papers presented together with 41 short, 10 doctoral consortium, 6 industry, and 10 workshop papers were carefully reviewed and selected from 177 submissions. AIED 2019 solicits empirical and theoretical papers particularly in the following lines of research and application: Intelligent and interactive technologies in an educational context; Modelling and representation; Models of teaching and learning; Learning contexts and informal learning; Evaluation; Innovative applications; Intelligent techniques to support disadvantaged schools and students, inequity and inequality in education. |
| artificial intelligence in education research paper: Diversity and Motivation Margery B. Ginsberg, Raymond J. Wlodkowski, 2015-02-27 When the first edition of Diversity and Motivation was published in 1995, it became a premier resource for faculty and administrators seeking effective and practical strategies that foster motivation among culturally diverse student groups. This revised and updated second edition of Diversity and Motivation offers a comprehensive understanding of teaching methods that promote respect, relevance, engagement, and academic success. Margery B. Ginsberg and Raymond J. Wlodkowski base their insights and concrete suggestions on their experiences and research as college faculty. The book defines norms, illustrates practices, and provides tools to develop four foundational conditions for intrinsically motivated learning: establishing inclusion, developing a positive attitude, enhancing meaning, and engendering competence. The authors provide perspectives on the social justice implications of each condition. Diversity and Motivation includes resources to help educators create a supportive community of learners, facilitate equitable discussions in linguistically diverse classrooms, design engaging lessons, and assess students fairly. The ideas in this book apply across disciplines and include teaching practices that can be easily adapted to a range of postsecondary settings. In addition, the authors include a cohesive approach to syllabus construction, lesson design, and faculty development. This new edition also contains a framework for motivating students outside traditional classroom settings. |
| artificial intelligence in education research paper: Artificial Intelligence Harvard Business Review, 2019 Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business. |
| artificial intelligence in education research paper: Encyclopedia of Education and Information Technologies ARTHUR TATNALL., 2019 This encyclopedia aims to offer researchers an indication of the breadth and importance of information systems in education, including the way IT is being used, and could be used to enable learning and teaching. The encyclopedia covers all aspects of the interaction between education and information technologies, including IT in kindergartens, primary and secondary schools, universities, training colleges, industry training, distance education and further education. It also covers teaching and computing, the use of IT in many different subject areas, the use of IT in educational administration, and national policies of IT and education. |
| artificial intelligence in education research paper: Artificial Intelligence and Its Impact on Public Administration Alan Shark, 2019-04 |
ARTIFICIAL Definition & Meaning - Merriam-Webster
The meaning of ARTIFICIAL is made, produced, or done by humans especially to seem like something natural : man-made. How to use artificial in a sentence.
ARTIFICIAL | English meaning - Cambridge Dictionary
ARTIFICIAL definition: 1. made by people, often as a copy of something natural: 2. not sincere: 3. made by people, often…. Learn more.
Artificial - definition of artificial by The Free Dictionary
1. produced by man; not occurring naturally: artificial materials of great strength. 2. made in imitation of a natural product, esp as a substitute; not genuine: artificial cream. 3. pretended; …
ARTIFICIAL Definition & Meaning | Dictionary.com
Artificial is used to describe things that are made or manufactured as opposed to occurring naturally. Artificial is often used as the opposite of natural. A close synonym of artificial is …
ARTIFICIAL definition and meaning | Collins English Dictionary
Artificial objects, materials, or processes do not occur naturally and are created by human beings, for example using science or technology.
artificial adjective - Definition, pictures, pronunciation and usage ...
Definition of artificial adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
Artificial - Definition, Meaning & Synonyms - Vocabulary.com
While artificial can simply mean “made by humans,” it’s often used in a negative sense, conveying the idea that an artificial product is inferior to the real thing. If you remark that your friend’s new …
artificial - Wiktionary, the free dictionary
6 days ago · artificial (comparative more artificial, superlative most artificial) Man-made; made by humans; of artifice. The flowers were artificial, and he thought them rather tacky. An artificial …
What does artificial mean? - Definitions.net
Artificial refers to something that is made or produced by human beings rather than occurring naturally or in the environment. It often implies an imitation of something natural or a real …
Artificial Intelligence Is Not Intelligent - The Atlantic
Jun 6, 2025 · The good news is that nothing about this is inevitable: According to a study released in April by the Pew Research Center, although 56 percent of “AI experts” think artificial …
Artificial Intelligence Integration in Teacher Education: …
Keywords: artificial intelligence, AI, teacher education, teacher preparation, ChatGPT 1. Introduction A variety of words describe how educators feel about generative artificial …
Artificial Intelligence in Education and Schools - Sciendo
Artificial Intelligence in Education and Schools Gocen, Aydemir Research on Education and Media. Vol. 12, N. 1, Year 2020 - ISSN: 2037-0830 14 1.1. Artificial Intelligence in Education …
Artificial Intelligence in Science Education (2013–2023): …
Oct 6, 2023 · The Education University of Hong Kong, Hong Kong SAR, China Abstract The use of artificial intelligence has played an important role in science teaching and learning. The …
RESEARCH PAPER ON ARTIFICIAL INTELLIGENCE & ITS …
Artificial intelligence forms the basis for all computer learning and is the future of all complex decision making. This paper examines features of artificial Intelligence, introduction, definitions …
Artificial intelligence in physical education and knowledge …
This research paper outlined the possible fundamental applications of Artificial intelligence in physical education and the awareness level of Artificial Intelligence among Physical Education …
A Review on Artificial Intelligence in Education - Semantic …
Finally, it puts forward the challenges that AI applications may face in education in the future and provides references for AI to promote education reform. Keywords: artificial intelligence, …
The Role of Artificial Intelligence in Teacher Professional
Nov 30, 2020 · artificial intelligence, presented a research paper to the Stanford University in America at the International Artificial Intelligence Conference. Therefore, later research focused …
Understanding the impact of artificial intelligence on skills …
The era of artificial intelligence is young in years but advanced in impact. ... NCVER National Centre for Vocational Education Research (Australia) NITI National Institution for Transforming …
The Interplay of Learning, Analytics, and Artificial …
Intelligence: Human-AI o-evolution and Learning. The Interplay of Learning, Analytics, and Artificial Intelligence in Education: A Vision for Hybrid Intelligence Mutlu Cukurova University …
Generative AI in education
There is appetite for government support to ensure GenAI adoption in education is safe, effective, and aligns with good pedagogy. There is little robust evidence on the impact of GenAI in …
Artificial Intelligence-Powered Calculator Application Usage …
IRE 1704266 ICONIC RESEARCH AND ENGINEERING JOURNALS 446 Artificial Intelligence-Powered Calculator Application Usage in Mathematics Summative Assessments NEIL BRYAN …
Artificial Intelligence, Education, and Entrepreneurship
Artificial Intelligence, Education, and Entrepreneurship MICHAEL GOFMAN and ZHAO JIN ABSTRACT We document an unprecedented brain drain of Artificial Intelligence (AI) …
Trends, Research Issues and Applications of Artificial …
ABSTRACT: Artificial Intelligence (AI) plays an increasingly important role in language education; however, the trends, research issues, and applications of AI in language learning remain …
Research on the Application of Artificial Intelligence in …
[8]. In need of educational resources, the rapid development and extensive practice of artificial intelligence (AI) in the field of special education has become more necessary to meet the …
Exploring the Dynamics of Artificial Intelligence in Higher …
Frazier AI in Higher Education Research Issues in Contemporary Education 57 Special Issue 2024 | Vol. 9, Issue 2 Exploring the Dynamics of Artificial Intelligence in Higher Education …
Impact of Artificial Intelligence in Special Need Education …
II. L. ITERATURE . R. EVIEW. A. AI and Special Need Education . Various researches have taken place in the area of AI (AI). It is usually defined as “the mechanical simulation system of
AI based Assessment in Education (AIBA) : evidence review
Dec 4, 2024 · research on artificial intelligence in K-12 education (2017–2022) - ScienceDirect 7 State of the art and practice in AI in education -Holmes 2022 European Journal of Education …
The Role of Artificial Intelligence in Shaping High School
The Role of Artificial Intelligence in Shaping High School Students' Motivation Rena Alasgarova, Jeyhun Rzayev ... 04 April 2024 This study explores the integration of Artificial Intelligence (AI) …
Artificial intelligence in entrepreneurship education: a …
When typing in “artificial intelligence” during a pilot search, the results in Google Scholar showed keywords: machine learning, deep learning and other variants of intelligence technologies. This …
Pros and Cons of Artificial Intelligence in Education
A. Artificial Intelligence in Education Research Early AI research aimed to develop adaptive learning platforms and intelligent tutoring systems providing personalized feedback to students …
The Use of Artificial Intelligence among Students in Higher …
1 The Use of Artificial Intelligence among Students in 2 Higher Education 3 4 Artificial intelligence (AI) impacts our everyday lives, from business to social 5 areas, and, in recent years, more …
The Effect of Artificial Intelligence in Improving Student …
The Effect of Artificial Intelligence in Improving Stu-dent Achievement in High Schools Ridwal Trisoni1, Indah Ardiani1, Susi Herawati1[ ], Adam Mudinillah2, Romi Mai- mori1, Annisaul …
Evolution and Revolution in Artificial Intelligence in …
# International Artificial Intelligence in Education Society 2016 Abstract The field of Artificial Intelligence in Education (AIED) has undergone ... parallel strands of research that need to …
The Study of Emotional Intelligence in Artificial Intelligence …
Artificial Intelligence Sahiti S. Magapu Computer Science and Systems Engineering ... consultation, education, and more, as well as provide new opportunities by equal treatment. In …
The Implementation of Artificial Intelligence in South …
Tsinghua University in Beijing has created an Institute for Artificial Intelligence in Education to research AI applications in education and provide AI courses for education professionals …
The Impact of Artificial Intelligence on Academics: A Concise …
paper will look at how artificial intelligence can be utilized to avoid ignoring ethical considerations when conducting research. International Journal of Academic Multidisciplinary Research ...
Understanding the impact of artificial intelligence on skills
The era of artificial intelligence is young in years but advanced in impact. ... NCVER National Centre for Vocational Education Research (Australia) NITI National Institution for Transforming …
Analyzing Students’ Attitudes and Behavior toward Artificial ...
Toward Artificial Intelligence Technologies in Higher Education Latifa Alzahrani Ab stra c t: In his study, we aim to o ntribute th existi g literature on the implementation of artificial intelligence …
The Role of Artificial Intelligence in Education: A Systematic ...
Scopus The Role Artificial Intelligence in Education Google Scholar The Role Artificial Intelligence in Education Table 1 shows that the keyword used in searching for relevant articles is The Role …
Journal of Engineering Education: Special Issue Call for Papers
Generative Artificial Intelligence in Support of Engineering Education ... standards for their application in education research (Watkins, 2023). Authors are highly ... full paper's …
The use of AI in education: Practicalities and ethical …
education, and it may be that such benefits will first be seen for students with special educational needs. This is to be welcomed. Keywords: artificial intelligence, education, personalized …
Artificial Intelligence in Education (AIED): Implications and …
2 Artificial Intelligence Definition . Through the years, advances in computing and information transmission technologies . have led to the creation of artificial intelligence. This was made …
Environmental Sustainability: Can Artificial Intelligence be an …
artificial intelligence-based algorithms to monitor soil health and yield of crops and yield comprehensively, some methods can develop predictive analytic models that track and forecast
Trends, Research Issues and Applications of Artificial …
ABSTRACT: Artificial Intelligence (AI) plays an increasingly important role in language education; however, the trends, research issues, and applications of AI in language learning remain …
ARTIFICIAL INTELLIGENCE IN EDUCATION - ResearchGate
ARTIFICIAL INTELLIGENCE IN EDUCATION ... The report made by Research and Markets, in 2019 global AI Education market reached ... teachers are given a heavy load of paper work …
Research & Occasional Paper Series: CSHE.6.2020 …
TANERI: Artificial Intelligence & Higher Education 3 . CSHE Research & Occasional Paper Series. Clearly, a union of wide topics of research and advancements are leading AI …
Application of Artificial Intelligence (AI) in Educational
Paper Publication Date: 24th March 2023 Abstract Artificial intelligence (AI) is rapidly transforming various industries, including education. AI is being used in educational management to …
Exploring the potential of artificial intelligence tools in …
discipline in the field of education concerned with classroom assessment. This paper also discusses some matters arising from integrating AI in educational measurement, assessment …
Teaching CS50 with AI - Harvard University
Leveraging Generative Artificial Intelligence in Computer Science Education Rongxin Liu Harvard University Cambridge, MA, USA rongxinliu@cs50.harvard.edu Carter Zenke Harvard …
The Impact of Artificial Intelligence on Accounting …
This study explores the impact of artificial intelligence (AI) on accounting education through a semi-systematic review of the literature. The review found findings from 20 studies on the topic …
Advancements And Challenges Of Artificial Intelligence In …
studies, and academic papers, this paper provides an in-depth analysis of the evolving role of AI in revolutionizing the educational landscape. Index Terms – Artificial Intelligence, Education, …
A SYSTEMATIC REVIEW OF ARTIFICIAL INTELLIGENCE IN …
artificial intelligence in education, (Yufeia et al, 2020). Based on the review of prior studies presented above, substantive differences can be seen. For that reason, this paper will focus on …
Generative Artificial Intelligence in Education and Its …
paper titled “Computing Machinery and Intelligence” and the key question asked, whether machines can think, in the paper (Martinez et al., 2019). At the national and global research …
Artificial intelligence, creativity, and education: Critical …
conceptual paper, we examine the intersections and tensions between AI, education and creativity using sociomaterial theory, and point to some key dilemmas in applying AI in education. We
Generative Artificial Intelligence and the Practice of Law: …
May 10, 2024 · of Artificial Intelligence, M. INN. L. R. EV. (forthcoming 2024) (examining how lawyers can use widely-available LLMs like GPT-4 and Bing Chat efficiently and ethically in the …
Revolutionizing Physical Education: The Role of Artificial …
The integration of Artificial Intelligence (AI) in physical education represents a transformative shift in educational methodologies, aiming to enhance both learning outcomes and performance …
A systematic review of artificial intelligence in mathematics …
The integration of artificial intelligence (AI) in mathematics education, focusing on its implications in the 4th Industrial Revolution (4IR) era. Through a comprehensive analysis of 10 relevant …
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Generative artificial intelligence (AI) powered conversational ...
Keywords: ChatGPT, generative artificial intelligence (AI), machine and deep learning, natural language processing (NLP), artificial intelligence in education (AIEd), education, teaching and …
AI Applications in Education - EUDL
ARTIFICIAL intelligence education. Training artificial intelligence talents will ... This paper mainly discusses the application, research status and development trend of artificial intelligence in …
