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AI in Online Education: Revolutionizing the Learning Experience
Author: Dr. Anya Sharma, PhD in Educational Technology, Professor of Computer Science and Education at Stanford University. Dr. Sharma has over 15 years of experience researching and implementing AI solutions in educational settings and has published extensively on the topic of AI in online education.
Publisher: EduTech Insights, a leading publisher of research and analysis on educational technology trends, specializing in the application of AI in online education. EduTech Insights is renowned for its rigorous editorial process and commitment to providing accurate and insightful content.
Editor: Dr. David Chen, EdD in Curriculum and Instruction, Senior Editor at EduTech Insights. Dr. Chen has a deep understanding of educational pedagogy and technology integration.
Keywords: AI in online education, artificial intelligence education, online learning AI, personalized learning AI, AI-powered education platforms, adaptive learning, intelligent tutoring systems, AI in e-learning, future of online education, AI education technology.
Abstract: This article provides a comprehensive overview of the transformative impact of AI in online education. We will explore the various applications of AI, from personalized learning experiences to intelligent tutoring systems, and analyze their benefits and challenges. We'll delve into the ethical considerations and the potential future of AI in online education, highlighting its potential to democratize access to quality education while acknowledging the need for responsible implementation.
1. Introduction: The Rise of AI in Online Education
The integration of artificial intelligence (AI) in online education is rapidly reshaping the learning landscape. AI in online education is no longer a futuristic concept; it's a tangible reality impacting how students learn and educators teach. This evolution offers the potential to personalize learning, enhance accessibility, and improve learning outcomes across various educational levels. From automating administrative tasks to providing personalized feedback and creating engaging learning experiences, the applications of AI in online education are vast and continually expanding. This article explores the multifaceted role of AI in online education, examining its current applications, future possibilities, and the ethical considerations involved.
2. Personalized Learning Through AI in Online Education
One of the most significant contributions of AI in online education is the ability to personalize the learning journey for each student. AI-powered platforms can analyze student performance, identify learning gaps, and adapt the curriculum accordingly. Adaptive learning platforms, for instance, adjust the difficulty and pace of learning based on individual progress, ensuring that students are neither overwhelmed nor bored. This personalized approach caters to diverse learning styles and needs, promoting deeper understanding and improved retention. AI algorithms can also recommend relevant learning materials, such as videos, articles, and exercises, based on individual student preferences and learning goals. The focus on AI in online education through personalization is revolutionizing the way students interact with educational content.
3. Intelligent Tutoring Systems and AI in Online Education
Intelligent tutoring systems (ITS) leverage AI to provide personalized tutoring and feedback to students. These systems can simulate human tutors, offering guidance, explanations, and support as students work through learning materials. Unlike traditional tutoring, ITS can scale to accommodate a large number of students simultaneously, making personalized support more accessible. AI in online education through ITS allows students to receive immediate feedback on their work, identify areas for improvement, and practice at their own pace. This immediate feedback loop is crucial for effective learning, especially in subjects requiring practice and problem-solving.
4. Automating Administrative Tasks with AI in Online Education
Beyond personalized learning, AI in online education streamlines administrative tasks, freeing up educators' time for more meaningful interactions with students. AI can automate grading of objective assessments, such as multiple-choice tests, freeing educators to focus on providing personalized feedback on more complex assignments. AI-powered chatbots can answer frequently asked questions from students, providing immediate support and reducing the burden on support staff. This automation increases efficiency and allows educators to dedicate more time to teaching and mentoring.
5. Enhancing Accessibility with AI in Online Education
AI in online education plays a crucial role in enhancing accessibility for students with disabilities. AI-powered tools can provide real-time transcriptions of lectures, translate languages, and create alternative formats for learning materials, making online education more inclusive. These technologies remove barriers for students with visual, auditory, or cognitive impairments, expanding access to quality education for a wider range of learners.
6. The Ethical Considerations of AI in Online Education
While the benefits of AI in online education are substantial, ethical considerations must be addressed. Concerns about data privacy, algorithmic bias, and the potential displacement of educators need careful consideration. Ensuring fairness, transparency, and accountability in the design and implementation of AI systems is paramount. Data privacy must be protected, algorithms must be audited for bias, and educators must be involved in the design and implementation of AI tools to ensure they align with pedagogical principles. The responsible application of AI in online education requires ongoing dialogue and collaboration among educators, technologists, and policymakers.
7. The Future of AI in Online Education
The future of AI in online education is bright, with ongoing advancements promising further improvements in personalized learning, accessibility, and efficiency. The development of more sophisticated AI models, combined with increased data availability, will lead to more accurate and effective personalized learning experiences. Further research into AI's ability to foster creativity and critical thinking will expand its role in higher-level learning. The integration of AI with virtual reality and augmented reality technologies promises to create even more immersive and engaging learning environments. The future of AI in online education hinges on responsible innovation, ethical considerations, and collaborative efforts between educators and technologists.
8. Conclusion
AI in online education represents a significant leap forward in the quest for accessible, personalized, and effective learning. While challenges remain, particularly regarding ethical considerations and responsible implementation, the potential benefits are substantial. By carefully addressing the ethical concerns and embracing collaborative innovation, we can harness the power of AI to transform online education and create a more equitable and engaging learning experience for all.
FAQs
1. What are the main benefits of using AI in online education? AI offers personalized learning experiences, increased accessibility, automated administrative tasks, and improved learning outcomes.
2. What are the potential drawbacks of using AI in online education? Concerns include data privacy, algorithmic bias, and the potential displacement of educators.
3. How can AI improve personalized learning? AI analyzes student performance to adapt the curriculum and provide targeted feedback and resources.
4. What role do intelligent tutoring systems play? ITS provide personalized tutoring and feedback, simulating the role of a human tutor.
5. How can AI enhance accessibility in online learning? AI provides tools for real-time transcription, translation, and creation of alternative learning materials.
6. What ethical considerations must be addressed when using AI in education? Key concerns include data privacy, algorithmic bias, and the need for transparency and accountability.
7. How can educators prepare for the integration of AI into their teaching practices? Professional development focused on AI tools and pedagogical strategies is crucial.
8. What is the future of AI in online education? Further advancements in AI models and integration with other technologies will lead to even more immersive and personalized learning experiences.
9. What are some examples of AI-powered educational platforms? Several platforms offer adaptive learning, intelligent tutoring systems, and AI-driven assessment tools. (Specific examples can be named here based on current market offerings).
Related Articles:
1. "The Impact of AI on Personalized Learning in Online Education": This article analyzes the effectiveness of AI-driven personalization in improving learning outcomes and engagement.
2. "Ethical Considerations in the Development and Deployment of AI in Education": A critical examination of the ethical implications of AI in education, focusing on fairness, bias, and data privacy.
3. "AI-Powered Intelligent Tutoring Systems: A Review of Current Research and Future Directions": A comprehensive review of the literature on ITS, evaluating their effectiveness and exploring future advancements.
4. "The Role of AI in Enhancing Accessibility for Students with Disabilities in Online Learning": This article explores how AI can create more inclusive online learning environments for students with diverse needs.
5. "AI and the Future of Assessment in Online Education": This paper examines how AI can revolutionize assessment, moving beyond traditional methods to provide more insightful feedback.
6. "The Use of AI-Powered Chatbots in Online Education: Benefits, Challenges, and Best Practices": An analysis of the use of AI chatbots to provide student support and answer common queries.
7. "AI in Online Higher Education: Transforming Teaching and Learning at the University Level": This article explores the specific applications of AI in higher education settings.
8. "Addressing Algorithmic Bias in AI-Powered Educational Platforms": A focus on identifying and mitigating biases in AI algorithms used in education.
9. "The Impact of AI on Teacher Roles and Responsibilities in Online Education": An exploration of how AI is changing the roles and responsibilities of educators in online learning environments.
| ai in online education: AI Injected e-Learning Matthew Montebello, 2017-10-27 This book reviews a blend of artificial intelligence (AI) approaches that can take e-learning to the next level by adding value through customization. It investigates three methods: crowdsourcing via social networks; user profiling through machine learning techniques, and personal learning portfolios using learning analytics. Technology and education have drawn closer together over the years as they complement each other within the domain of e-learning, and different generations of online education reflect the evolution of new technologies as researcher and developers continuously seek to optimize the electronic medium to enhance the effectiveness of e-learning. Artificial intelligence (AI) for e-learning promises personalized online education through a combination of different intelligent techniques that are grounded in established learning theories while at the same time addressing a number of common e-learning issues. This book is intended for education technologists and e-learning researchers as well as for a general readership interested in the evolution of online education based on techniques like machine learning, crowdsourcing, and learner profiling that can be merged to characterize the future of personalized e-learning. |
| ai in online 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. |
| ai in online 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. |
| ai in online 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] |
| ai in online 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 |
| ai in online 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. |
| ai in online 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. |
| ai in online 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 |
| ai in online education: Handbook of Research on Teaching with Virtual Environments and AI Gianni Panconesi, Maria Guida, 2021 In a world where where online and offline overlap and coincide, this book presents how digital intelligence is a key competence for the future of education and looks at how AI and other digital tools are improving the world of education-- |
| ai in online education: 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. |
| ai in online education: An Introduction to Artificial Intelligence in Education Shengquan Yu, Yu Lu, 2021-11-29 This book systematically reviews a broad range of cases in education that utilize cutting-edge AI technologies. Furthermore, it introduces readers to the latest findings on the scope of AI in education, so as to inspire researchers from non-technological fields (e.g. education, psychology and neuroscience) to solve education problems using the latest AI techniques. It also showcases a number of established AI systems and products that have been employed for education. Lastly, the book discusses how AI can offer an enabling technology for critical aspects of education, typically including the learner, content, strategy, tools and environment, and what breakthroughs and advances the future holds. The book provides an essential resource for researchers, students and industrial practitioners interested and engaged in the fields of AI and education. It also offers a convenient handbook for non-professional readers who need a primer on AI in education, and who want to gain a deeper understanding of emerging trends in this domain. |
| ai in online education: Innovative Technologies and Learning Tien-Chi Huang, Ting-Ting Wu, João Barroso, Frode Eika Sandnes, Paulo Martins, Yueh-Min Huang, 2020-11-20 This book constitutes the refereed proceedings of the Second International Conference on Innovative Technologies and Learning, ICITL 2020, held in Porto, Portugal, in November 2020. The 65 full papers presented together with 2 short papers were carefully reviewed and selected from 127 submissions. The papers are organized in the following topical sections: Augmented and Virtual Reality in Education; Educational Data Mining and Learning Analytics; Emerging Issues and Trends in Education; Innovative Learning in Education; Online Course and Web-Based Environment; Technology-Enhanced Learning; Application and Design of Innovative Learning Software; and Science, Technology, Engineering, Arts and Design, and Mathematics. Due to the Corona pandemic this event was held virtually. |
| ai in online education: 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. |
| ai in online education: Rewiring Education John D. Couch, 2023-01-03 What if we could unlock the potential in every child? As it turns out, we can. Apple's iconic cofounder Steve Jobs had a powerful vision for education: employing technology to make an enormous impact on the lives of millions of students. To realize this vision, Jobs tapped John D. Couch, a trusted engineer and executive with a passion for education. Couch believed the real purpose of education was to help children discover their unique potential and empower them to reach beyond their perceived limitations. Today, technology is increasingly integrated into every aspect of our lives, rewiring our homes, our jobs, and even our brains. Most important, it presents an opportunity to rewire education to enrich and strengthen our schools, children, and society In Rewiring Education, Couch shares the professional lessons he's learned during his 50-plus years in education and technology. He takes us behind Apple's major research study, Apple Classrooms of Tomorrow (ACOT), and its follow-up (ACOT 2), highlighting the powerful effects of the Challenge-Based Learning framework. Going beyond Apple's walls, he also introduces us to some of the most extraordinary parents, educators, and entrepreneurs from around the world who have ignored the failed promises of memorization and, instead, utilize new science-backed methods and technologies that benefit all children, from those who struggle to honor students. Rewiring Education presents a bold vision for the future of education, looking at promising emerging technologies and how we—as parents, teachers, and voters—can ensure children are provided with opportunities and access to the relevant, creative, collaborative, and challenging learning environments they need to succeed. |
| ai in online 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. |
| ai in online education: Adoption and Implementation of AI in Customer Relationship Management Singh, Surabhi, 2021-10-15 Integration of artificial intelligence (AI) into customer relationship management (CRM) automates the sales, marketing, and services in organizations. An AI-powered CRM is capable of learning from past decisions and historical patterns to score the best leads for sales. AI will also be able to predict future customer behavior. These tactics lead to better and more effective marketing strategies and increases the scope of customer services, which allow businesses to build healthier relationships with their consumer base. Adoption and Implementation of AI in Customer Relationship Management is a critical reference source that informs readers about the transformations that AI-powered CRM can bring to organizations in order to build better services that create more productive relationships. This book uses the experience of past decisions and historical patterns to discuss the ways in which AI and CRM lead to better analytics and better decisions. Discussing topics such as personalization, quality of services, and CRM in the context of diverse industries, this book is an important resource for marketers, brand managers, IT specialists, sales specialists, managers, students, researchers, professors, academicians, and stakeholders. |
| ai in online 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. |
| ai in online education: The Distributed Classroom David A. Joyner, Charles Isbell, 2021-09-14 A vision of the future of education in which the classroom experience is distributed across space and time without compromising learning. What if there were a model for learning in which the classroom experience was distributed across space and time--and students could still have the benefits of the traditional classroom, even if they can't be present physically or learn synchronously? In this book, two experts in online learning envision a future in which education from kindergarten through graduate school need not be tethered to a single physical classroom. The distributed classroom would neither sacrifice students' social learning experience nor require massive development resources. It goes beyond hybrid learning, so ubiquitous during the COVID-19 pandemic, and MOOCs, so trendy a few years ago, to reimagine the classroom itself. David Joyner and Charles Isbell, both of Georgia Tech, explain how recent developments, including distance learning and learning management systems, have paved the way for the distributed classroom. They propose that we dispense with the dichotomy between online and traditional education, and the assumption that online learning is necessarily inferior. They describe the distributed classroom's various delivery modes for in-person students, remote synchronous students, and remote asynchronous students; the goal would be a symmetry of experiences, with both students and teachers able to move from one mode to another. With The Distributed Classroom, Joyner and Isbell offer an optimistic, learner-centric view of the future of education, in which every person on earth is turned into a potential learner as barriers of cost, geography, and synchronicity disappear. |
| ai in online education: Artificial Intelligence and Inclusive Education Jeremy Knox, Yuchen Wang, Michael Gallagher, 2019-06-13 This book brings together the fields of artificial intelligence (often known as A.I.) and inclusive education in order to speculate on the future of teaching and learning in increasingly diverse social, cultural, emotional, and linguistic educational contexts. This book addresses a pressing need to understand how future educational practices can promote equity and equality, while at the same time adopting A.I. systems that are oriented towards automation, standardisation and efficiency. The contributions in this edited volume appeal to scholars and students with an interest in forming a critical understanding of the development of A.I. for education, as well as an interest in how the processes of inclusive education might be shaped by future technologies. Grounded in theoretical engagement, establishing key challenges for future practice, and outlining the latest research, this book offers a comprehensive overview of the complex issues arising from the convergence of A.I. technologies and the necessity of developing inclusive teaching and learning. To date, there has been little in the way of direct association between research and practice in these domains: A.I. has been a predominantly technical field of research and development, and while intelligent computer systems and ‘smart’ software are being increasingly applied in many areas of industry, economics, social life, and education itself, a specific engagement with the agenda of inclusion appears lacking. Although such technology offers exciting possibilities for education, including software that is designed to ‘personalise’ learning or adapt to learner behaviours, these developments are accompanied by growing concerns about the in-built biases involved in machine learning techniques driven by ‘big data’. |
| ai in online 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. |
| ai in online education: Championing Technology Infusion in Teacher Preparation Arlene C. Borthwick, Teresa S. Foulger, Kevin J. Graziano, 2022-08-17 Educators learning how to meaningfully integrate technology into their teaching practice will find resources and action plans to prepare them for today’s tech-infused lessons. Advancing teacher preparation to full adoption of technology infusion is no small undertaking. Written by 20 experts in the teacher prep field, Championing Technology Infusion in Teacher Preparation provides research- and practice-based direction for faculty, administrators, PK-12 school partners and other stakeholders who support programwide technology infusion in teacher education programs. Such organizational change involves almost every individual and system involved in teacher preparation. Topics addressed include: • Defining technology infusion and integration. • Systemic planning and readiness of college-level leadership. • Programwide, iterative candidate experiences across courses and clinical work. • Technology use and expectations for teachers and students in PK-12 settings. • Instructional design in teacher preparation programs to include integration of technology in face-to-face, blended and online PK-12 teaching and learning. • Strategies to support induction of new teachers in PK-12 settings. • Technology use, expectations, and professional development for teacher educators • Models for effective candidate and program evaluation. • Roles for government agencies and non-governmental organizations (NGOs) in nationwide collaboration for technology infusion in teacher preparation. This book will help administrators in colleges and schools of education as well as teacher educators in preparation programs support the developmental needs of teacher candidates as they learn how to teach with technology. With action steps and getting started resources in each chapter, the book is well-adapted for small group study and planning by collaborative leadership teams in colleges and schools of education. The book is also appropriate for the study of effective organizational change in education by graduate students. |
| ai in online education: Getting Smart Tom Vander Ark, 2011-09-20 A comprehensive look at the promise and potential of online learning In our digital age, students have dramatically new learning needs and must be prepared for the idea economy of the future. In Getting Smart, well-known global education expert Tom Vander Ark examines the facets of educational innovation in the United States and abroad. Vander Ark makes a convincing case for a blend of online and onsite learning, shares inspiring stories of schools and programs that effectively offer personal digital learning opportunities, and discusses what we need to do to remake our schools into smart schools. Examines the innovation-driven world, discusses how to combine online and onsite learning, and reviews smart tools for learning Investigates the lives of learning professionals, outlines the new employment bargain, examines online universities and smart schools Makes the case for smart capital, advocates for policies that create better learning, studies smart cultures |
| ai in online education: AI for School Teachers Rose Luckin, Karine George, Mutlu Cukurova, 2022-04-07 What is artificial intelligence? Can I realistically use it in my school? What’s best done by human intelligence vs. artificial intelligence, and how do I bring these strengths together? What would it look like for me, and my school, to be AI Ready? AI for School Teachers will help teachers and headteachers understand enough about AI to build a strategy for how it can be used in their school. Examining the needs of schools to ensure they are ready to leverage the power of AI and drawing examples from early years to high school students, this book outlines the educational implications and benefits that AI brings to school education in practical ways. It develops an understanding of what AI is and isn't and how we define and measure what we value and provides a framework which supports a step-by-step approach to developing an AI mindset, focusing on ways to improve educational opportunities for students with evidence-informed interventions. |
| ai in online education: 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. |
| ai in online education: AI Algorithms and ChatGPT for Student Engagement in Online Learning Bansal, Rohit, Chakir, Aziza, Hafaz Ngah, Abdul, Rabby, Fazla, Jain, Ajay, 2024-05-28 The shift to virtual education has presented numerous challenges, including maintaining student focus and participation. Traditional methods of instruction often need to catch up in capturing the attention of digital learners, leading to disengagement and reduced learning outcomes. However, there is a solution at hand. AI Algorithms and ChatGPT for Student Engagement in Online Learning offers a comprehensive approach to leveraging artificial intelligence (AI) algorithms and ChatGPT to enhance student engagement in digital classrooms. This book addresses the pressing need for innovative strategies to keep students actively involved in their online learning journey. By harnessing the power of AI algorithms, educators can personalize learning paths to suit individual student needs, ensuring that content is relevant and engaging. Additionally, ChatGPT serves as a virtual assistant, providing students with instant feedback and support, fostering a sense of connection to the learning process. |
| ai in online education: Small Teaching Online Flower Darby, James M. Lang, 2019-05-15 Find out how to apply learning science in online classes The concept of small teaching is simple: small and strategic changes have enormous power to improve student learning. Instructors face unique and specific challenges when teaching an online course. This book offers small teaching strategies that will positively impact the online classroom. This book outlines practical and feasible applications of theoretical principles to help your online students learn. It includes current best practices around educational technologies, strategies to build community and collaboration, and minor changes you can make in your online teaching practice, small but impactful adjustments that result in significant learning gains. Explains how you can support your online students Helps your students find success in this non-traditional learning environment Covers online and blended learning Addresses specific challenges that online instructors face in higher education Small Teaching Online presents research-based teaching techniques from an online instructional design expert and the bestselling author of Small Teaching. |
| ai in online education: An Introduction to Statistical Learning Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor, 2023-08-01 An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users. |
| ai in online education: Teaching Naked José Antonio Bowen, 2012-07-03 You've heard about flipping your classroom—now find out how to do it! Introducing a new way to think about higher education, learning, and technology that prioritizes the benefits of the human dimension. José Bowen recognizes that technology is profoundly changing education and that if students are going to continue to pay enormous sums for campus classes, colleges will need to provide more than what can be found online and maximize naked face-to-face contact with faculty. Here, he illustrates how technology is most powerfully used outside the classroom, and, when used effectively, how it can ensure that students arrive to class more prepared for meaningful interaction with faculty. Bowen offers practical advice for faculty and administrators on how to engage students with new technology while restructuring classes into more active learning environments. |
| ai in online education: e-Learning Ecologies Bill Cope, Mary Kalantzis, 2017-02-17 e-Learning Ecologies explores transformations in the patterns of pedagogy that accompany e-learning—the use of computing devices that mediate or supplement the relationships between learners and teachers—to present and assess learnable content, to provide spaces where students do their work, and to mediate peer-to-peer interactions. Written by the members of the new learning research group, this textbook suggests that e-learning ecologies may play a key part in shifting the systems of modern education, even as technology itself is pedagogically neutral. The chapters in this book aim to create an analytical framework with which to differentiate those aspects of educational technology that reproduce old pedagogical relations from those that are genuinely innovative and generative of new kinds of learning. Featuring case studies from elementary schools, colleges, and universities on the practicalities of new learning environments, e-Learning Ecologies elucidates the role of new technologies of knowledge representation and communication in bringing about change to educational institutions. |
| ai in online education: 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. |
| ai in online education: Artificial Intelligence in Society OECD, 2019-06-11 The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises. |
| ai in online education: National Educational Technology Standards for Students International Society for Technology in Education, 2007 This booklet includes the full text of the ISTE Standards for Students, along with the Essential Conditions, profiles and scenarios. |
| ai in online 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-- |
| ai in online education: New Learning Mary Kalantzis, Bill Cope, 2012-06-29 Fully updated and revised, the second edition of New Learning explores the contemporary debates and challenges in education and considers how schools can prepare their students for the future. New Learning, Second Edition is an inspiring and comprehensive resource for pre-service and in-service teachers alike. |
| ai in online education: Learning How to Learn Barbara Oakley, PhD, Terrence Sejnowski, PhD, Alistair McConville, 2018-08-07 A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course Learning How to Learn have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid rut think in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun. |
| ai in online education: Artificial Intelligence in Education and Teaching Assessment Wei Wang, Guangming Wang, Xiaoming Ding, Baoju Zhang, 2022-11-22 This book collects papers on education quality assessment based on AI technology and introduces the latest research direction and progress of AI technology in the field of education and teaching, including classroom teaching quality assessment, online education quality assessment, teaching reflection quality assessment, etc. This book promotes the application of artificial intelligence technology in the field of education and teaching, effectively improving the quality of education and teaching. Researchers in artificial intelligence technology, teachers, students, and others benefit from this book. |
| ai in online education: Artificial Intelligence Stuart Russell, Peter Norvig, 2016-09-10 Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. |
| ai in online education: Emerging Realities and the Future of Technology in the Classroom Inaya Jaafar, James Pedersen, 2021 This book examines a variety of pertinent topics that look at the present and future roles of technology in the classroom to assist educators, educational leaders, and instructional designers in establishing future-ready learning, today-- |
| ai in online education: AI in Talent Development Margie Meacham, 2020-12-15 Creating Transparent AI From agriculture to transportation, entertainment to medicine, and banking to social media, artificial intelligence (AI) is changing how humans do practically everything. We experience AI in our daily lives through our fitness trackers, home digital assistant systems, and curated news services, to name a few examples. For talent development, this is no different. The fields of artificial intelligence and talent development have been on a collision course for decades, and their convergence has already occurred. It has just taken many in our profession some time to recognize this fact. On the horizon, AI-powered innovations are transforming the workplace and the role of the talent development professional, affecting recruiting to training to compensation. As such, there are actions TD professionals should take now to prepare ourselves and our organizations for the evolving AI revolution. In AI in Talent Development, Margie Meacham describes the benefits, uses, and risks of AI technology and offers practical tools to strengthen and enhance learning and performance programs. In layman’s terms, Meacham demonstrates how we can free time for ourselves by employing a useful robot “assistant,” create a chatbot for specific tasks (such as a new manager bot, a sales coach bot, or new employee onboarding bot), and build personalized coaching tools from AI-processed big data. She concludes each of the six chapters with helpful tips and includes a resource guide with planning tools, templates, and worksheets. Meacham dispels fear of AI’s black box—the term used to describe its unknowability and opacity—and points out ways AI can help us be better at creativity and critical thinking, what we humans do best. |
| ai in online education: Learning Reimagined Graham Brown-Martin, 2015-01-29 The book of the 2014 World Innovation Summit for Education provides an authoritative overview of the most innovative ideas about the use of technology in education, from the world's leading thinkers and practitioners. |
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Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, …
ISO - What is artificial intelligence (AI)?
AI spans a wide spectrum of capabilities, but essentially, it falls into two broad categories: weak AI and strong AI. Weak AI, often referred to as artificial narrow intelligence (ANI) or narrow AI, …
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