4 books on AI for E-learning [PDF]

October 22, 2024

These books are covering various aspects of AI's role in personalized employee education, content recommendation and learner assessment.

1. Chief e-Learning Officer in the Era of Speed: Digital Learning Strategies to Speed up Workforce Performance
2023 by Dr Raman K Attri



Embark on a journey into the world of "Chief e-Learning Officer in the Era of Speed," where you'll uncover transformative e-learning methodologies poised to reshape how your workforce thrives in an era marked by swift changes. Discover strategies for maintaining a competitive edge by shortening time-to-proficiency and enriching employee development journeys. This book equips you with research-backed e-learning innovations that empower you to navigate the digital revolution with confidence. Master the art of crafting a high-velocity e-learning ecosystem primed to prepare your employees for success. Armed with the insights, tools and expert guidance within these pages, you'll create compelling, future-proof e-learning experiences that expedite employee growth. Embrace the potential of cutting-edge e-learning tactics and unlock the keys to achieving accelerated triumph in our fast-paced world. Beyond serving as a mere guide, this book imparts the strategic acumen essential for navigating e-learning landscapes in the era of speed, enabling you to elevate your leadership skills and make a lasting impact as a global Chief e-Learning Officer, at the forefront of your organization's digital revolution.
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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. 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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4. 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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