6 books on AI for Education [PDF]

Updated: May 11, 2024

Books focused on AI for education are indispensable assets for startups dedicated to the development of AI solutions in the realm of education and e-learning. These resources delve into the intersection of artificial intelligence and pedagogy, offering profound insights into adaptive learning systems, intelligent tutoring, personalized content delivery, and data-driven educational assessments.

1. 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.
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2. 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.
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3. 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.
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4. 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.
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5. 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.
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6. 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.
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