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7 books on AI for Education [PDF]
October 24, 2024 | 31 |
These books tell about the applications of artificial intelligence in education, offering insights into adaptive learning systems, intelligent tutoring, personalized content delivery, and data-driven educational assessments.
1. AI in Education: A Comprehensive Guide to Personalized Learning and the Future of Education with AI
2024 by StoryBuddiesPlay
Unveiling the Transformative Potential of AI in Education: This comprehensive guide explores the innovative impact of Artificial Intelligence (AI) on personalized learning and the future of education. Dive into the possibilities of AI revolutionizing classrooms by adapting instruction and curriculum to suit each student’s unique needs, learning styles and objectives, moving away from traditional uniform teaching methods. Discover advanced AI tools such as adaptive learning platforms, intelligent tutoring systems and virtual learning environments, which customize learning experiences by providing tailored practice exercises, alternative explanations and engaging educational resources. Addressing ethical concerns like data privacy and algorithmic bias, the book emphasizes the indispensable role of educators in nurturing social and emotional learning, while highlighting how AI can streamline administrative tasks and offer data-driven insights. Whether you’re an educator, parent, or student, this guide offers insights into harnessing AI to personalize learning effectively, fostering a more engaging and inclusive educational experience for all.
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2. AI and the Future of Education: Teaching in the Age of Artificial Intelligence
2023 by Priten Shah
Dissipate the uncertainties surrounding AI's role in education with "AI and the Future of Education: Teaching in the Age of Artificial Intelligence." In response to the pervasive anxiety and confusion among educators, this book offers clarity, assuring that AI should be harnessed as a valuable tool, not viewed as a threat to the teaching and learning process. Authored by Priten Shah, an expert in educational innovation with a Harvard M.Ed., the book addresses the challenges and opportunities presented by AI in education comprehensively. It provides insights into what AI and machine learning entail, explores innovative ways to engage students using AI and demonstrates how AI can streamline administrative tasks, grading, feedback and assessments. Additionally, it examines the ethical considerations surrounding AI, including issues related to the achievement gap, privacy and bias. Whether you're a K-12 educator or a leader in the field of education, this resource empowers you to embrace AI, offering practical strategies for integrating it effectively into your classroom, lesson planning, professional development and more, making AI a valuable ally rather than an enigmatic force.
Download PDF
3. Handbook of Research on Teaching With Virtual Environments and AI
2021 by Panconesi, Gianni, Guida, Maria
The "Handbook of Research on Teaching With Virtual Environments and AI" delves into the emerging realm of personalized education made possible by digital technology and virtual environments. It provides a comprehensive exploration of utilizing these tools and effectively integrating new technologies like AI and virtual environments into educational contexts. This book covers various subjects, including virtual worlds, game-based learning, intelligent tutoring, augmented reality and more, making it an invaluable resource for educators, administrators, technologists, educational software developers, IT professionals, practitioners, researchers, scholars and students seeking insights into the practical applications of virtual environments and AI in educational settings.
Download PDF
4. AI and education: A guidance for policymakers
2021 by Miao, Fengchun, Holmes, Wayne, Ronghuai Huang, Hui Zhang, UNESCO
The book "AI and Education: A Guidance for Policymakers" explores the transformative potential of Artificial Intelligence (AI) in addressing significant educational challenges and advancing progress towards SDG 4. While AI promises innovation in teaching and learning, it also poses risks and complexities that have outpaced policy discussions and regulations. This comprehensive guide is designed to assist policymakers in effectively harnessing AI opportunities while mitigating potential pitfalls. It covers AI fundamentals, techniques and technologies, followed by an in-depth examination of AI's evolving trends and its impact on education. It emphasizes the importance of ethical, inclusive and equitable AI use, as well as the role of education in preparing individuals to coexist with AI. Furthermore, the book delves into the challenges of aligning AI with SDG 4 and offers practical recommendations for policymakers to develop tailored policies and programs within their specific contexts.
Download PDF
5. An Introduction to Artificial Intelligence in Education
2021 by Shengquan Yu, Yu Lu
This book offers a systematic exploration of diverse educational cases that leverage cutting-edge AI technologies, presenting readers with the latest insights into the expansive realm of AI's applications in education. Its aim is to inspire researchers from non-technical backgrounds, such as education, psychology and neuroscience, to employ AI methods in addressing educational challenges. The book features established AI systems and products already employed in educational contexts and discusses AI's potential as an enabling technology across crucial educational dimensions, including learners, content, strategies, tools and environments. It also glimpses into the future of AI in education, highlighting forthcoming breakthroughs and advancements. This resource is invaluable for researchers, students and industry professionals in both AI and education. Additionally, it serves as a practical handbook for non-experts seeking an introduction to AI in education and a deeper understanding of emerging trends in this field.
Download PDF
6. Revolutionizing Education in the Age of AI and Machine Learning
2019 by Habib, Maki K.
"Revolutionizing Education in the Age of AI and Machine Learning" delves into the pressing need for a scholarly examination of the cultural and social ramifications stemming from the rapid integration of artificial intelligence in education, while also considering the potential consequences of these impacts on culture, social interactions and values. The content within this publication explores a range of topics, including AI-driven tutoring, the evolving role of educators, advancements in physical education and sports, interactive E-learning and virtual laboratories, adaptive curricula development to foster critical thinking and the emergence of augmented intelligence. This book is thoughtfully crafted to benefit educators, curriculum developers, instructional designers, educational software developers, education consultants, academics, administrators, researchers and professionals in the field.
Download PDF
7. AI Injected e-Learning: The Future of Online Education
2017 by Matthew Montebello
This book explores the potential of artificial intelligence (AI) to enhance e-learning by introducing valuable customization elements. It delves into three key methods: harnessing crowdsourcing through social networks, utilizing machine learning techniques for user profiling and implementing personal learning portfolios with the aid of learning analytics. Over the years, technology and education have become increasingly intertwined, particularly in the realm of e-learning, where various generations of online education reflect the evolution of new technologies. Researchers and developers continually strive to optimize the digital medium to improve e-learning's effectiveness. AI in e-learning offers the promise of tailored online education by combining various intelligent techniques rooted in established learning theories while addressing common e-learning challenges. This book caters to education technologists, e-learning researchers and anyone interested in the evolution of online education, highlighting machine learning, crowdsourcing and learner profiling as key elements shaping the future of personalized e-learning.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. AI in Education: A Comprehensive Guide to Personalized Learning and the Future of Education with AI
2024 by StoryBuddiesPlay
Unveiling the Transformative Potential of AI in Education: This comprehensive guide explores the innovative impact of Artificial Intelligence (AI) on personalized learning and the future of education. Dive into the possibilities of AI revolutionizing classrooms by adapting instruction and curriculum to suit each student’s unique needs, learning styles and objectives, moving away from traditional uniform teaching methods. Discover advanced AI tools such as adaptive learning platforms, intelligent tutoring systems and virtual learning environments, which customize learning experiences by providing tailored practice exercises, alternative explanations and engaging educational resources. Addressing ethical concerns like data privacy and algorithmic bias, the book emphasizes the indispensable role of educators in nurturing social and emotional learning, while highlighting how AI can streamline administrative tasks and offer data-driven insights. Whether you’re an educator, parent, or student, this guide offers insights into harnessing AI to personalize learning effectively, fostering a more engaging and inclusive educational experience for all.
Download PDF
2. AI and the Future of Education: Teaching in the Age of Artificial Intelligence
2023 by Priten Shah
Dissipate the uncertainties surrounding AI's role in education with "AI and the Future of Education: Teaching in the Age of Artificial Intelligence." In response to the pervasive anxiety and confusion among educators, this book offers clarity, assuring that AI should be harnessed as a valuable tool, not viewed as a threat to the teaching and learning process. Authored by Priten Shah, an expert in educational innovation with a Harvard M.Ed., the book addresses the challenges and opportunities presented by AI in education comprehensively. It provides insights into what AI and machine learning entail, explores innovative ways to engage students using AI and demonstrates how AI can streamline administrative tasks, grading, feedback and assessments. Additionally, it examines the ethical considerations surrounding AI, including issues related to the achievement gap, privacy and bias. Whether you're a K-12 educator or a leader in the field of education, this resource empowers you to embrace AI, offering practical strategies for integrating it effectively into your classroom, lesson planning, professional development and more, making AI a valuable ally rather than an enigmatic force.
Download PDF
3. Handbook of Research on Teaching With Virtual Environments and AI
2021 by Panconesi, Gianni, Guida, Maria
The "Handbook of Research on Teaching With Virtual Environments and AI" delves into the emerging realm of personalized education made possible by digital technology and virtual environments. It provides a comprehensive exploration of utilizing these tools and effectively integrating new technologies like AI and virtual environments into educational contexts. This book covers various subjects, including virtual worlds, game-based learning, intelligent tutoring, augmented reality and more, making it an invaluable resource for educators, administrators, technologists, educational software developers, IT professionals, practitioners, researchers, scholars and students seeking insights into the practical applications of virtual environments and AI in educational settings.
Download PDF
4. AI and education: A guidance for policymakers
2021 by Miao, Fengchun, Holmes, Wayne, Ronghuai Huang, Hui Zhang, UNESCO
The book "AI and Education: A Guidance for Policymakers" explores the transformative potential of Artificial Intelligence (AI) in addressing significant educational challenges and advancing progress towards SDG 4. While AI promises innovation in teaching and learning, it also poses risks and complexities that have outpaced policy discussions and regulations. This comprehensive guide is designed to assist policymakers in effectively harnessing AI opportunities while mitigating potential pitfalls. It covers AI fundamentals, techniques and technologies, followed by an in-depth examination of AI's evolving trends and its impact on education. It emphasizes the importance of ethical, inclusive and equitable AI use, as well as the role of education in preparing individuals to coexist with AI. Furthermore, the book delves into the challenges of aligning AI with SDG 4 and offers practical recommendations for policymakers to develop tailored policies and programs within their specific contexts.
Download PDF
5. An Introduction to Artificial Intelligence in Education
2021 by Shengquan Yu, Yu Lu
This book offers a systematic exploration of diverse educational cases that leverage cutting-edge AI technologies, presenting readers with the latest insights into the expansive realm of AI's applications in education. Its aim is to inspire researchers from non-technical backgrounds, such as education, psychology and neuroscience, to employ AI methods in addressing educational challenges. The book features established AI systems and products already employed in educational contexts and discusses AI's potential as an enabling technology across crucial educational dimensions, including learners, content, strategies, tools and environments. It also glimpses into the future of AI in education, highlighting forthcoming breakthroughs and advancements. This resource is invaluable for researchers, students and industry professionals in both AI and education. Additionally, it serves as a practical handbook for non-experts seeking an introduction to AI in education and a deeper understanding of emerging trends in this field.
Download PDF
6. Revolutionizing Education in the Age of AI and Machine Learning
2019 by Habib, Maki K.
"Revolutionizing Education in the Age of AI and Machine Learning" delves into the pressing need for a scholarly examination of the cultural and social ramifications stemming from the rapid integration of artificial intelligence in education, while also considering the potential consequences of these impacts on culture, social interactions and values. The content within this publication explores a range of topics, including AI-driven tutoring, the evolving role of educators, advancements in physical education and sports, interactive E-learning and virtual laboratories, adaptive curricula development to foster critical thinking and the emergence of augmented intelligence. This book is thoughtfully crafted to benefit educators, curriculum developers, instructional designers, educational software developers, education consultants, academics, administrators, researchers and professionals in the field.
Download PDF
7. AI Injected e-Learning: The Future of Online Education
2017 by Matthew Montebello
This book explores the potential of artificial intelligence (AI) to enhance e-learning by introducing valuable customization elements. It delves into three key methods: harnessing crowdsourcing through social networks, utilizing machine learning techniques for user profiling and implementing personal learning portfolios with the aid of learning analytics. Over the years, technology and education have become increasingly intertwined, particularly in the realm of e-learning, where various generations of online education reflect the evolution of new technologies. Researchers and developers continually strive to optimize the digital medium to improve e-learning's effectiveness. AI in e-learning offers the promise of tailored online education by combining various intelligent techniques rooted in established learning theories while addressing common e-learning challenges. This book caters to education technologists, e-learning researchers and anyone interested in the evolution of online education, highlighting machine learning, crowdsourcing and learner profiling as key elements shaping the future of personalized e-learning.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
