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]
This edited volume with selected papers from extinguished experts and professors in the field of learning technology and the related fields who are far-sighted and have his/her own innovative thoughts on the development of learning technology. This book will addresses the main issues concerned with the trend and future development of learning processes, innovative pedagogies changes, effects of new technologies on education, future learning content. Learning technology has been affected by advances in technology development and changes in the field of education. Nowadays we cannot afford to sense the changes and then make adaption to it. What we should do is to predict the changes and make positive and active reactions to help the trend go smoothly and in a more beneficial way. This book aims to gather the newest ideas on the frontiers and future development of learning education from the aspects of learning, pedagogies, and technologies in learning in order to draw a picture of learning education in the near future.
This book introduces readers to the current status of smart learning in China by providing extensive and accurate data from different contexts of smart learning. In particular, it investigates smart learning in smart cities, which extends the concept of smart learning to cover both formal and informal learning, and to support life-long learning. With digital technologies and the Internet becoming increasingly integrated into learning, the demand for smart learning has grown steadily, especially in smart city scenarios. As the need for life-long learning is on the rise, smart learning environments in cities should be equipped to meet people’s demands. Smart learning/education is also one of the key applications of smart cities. Though the book’s content mainly focuses on the educational technology field, research in cities and industries is also included. This book offers a valuable resource for graduate students in educational technology, smart learning environment and smart city researchers, cooperative university managers, and all others who are interested in smart learning industries.
The aim of this book is to prepare students with knowledge and skills to understand the organizational needs and requirements of educational technology. Students should be able to use and manage both existing and emerging technologies effectively and be able to apply associated pedagogies to suit the environment, but also evaluate and manage technological advances of future and the requisite pedagogical shifts to achieve efficiency and effectiveness. The demand of educational technology has been rising steadily, primarily due to the fact that e-learning is a huge and significantly expanding world-wide industry. Commercial e-learning companies, training departments in large companies and organizations, computer software companies and educational institutions the world over employ large numbers of educational technology specialists. There is a strong demand for technologists who understand educational theories and for instructional designers and teachers who understand technologies. This book is targeted towards those who are looking for career in educational technology, instructional design, or media and information systems, or may want to continue their studies in graduate programs in learning and instructional technology, and those who are interested in becoming teacher in K-12 setting but need background in educational technology. This book will also act as a valuable resource in teacher education programs where primary focus on mainstream education and requires an authentic resource in instructional design and educational technology. Keeping in mind the varied needs of the organizations, employees and potential students, this book adopts a competency approach to learning and assessment. The themes and topics take a multi-disciplinary approach, and are aimed at preparing students for competent and innovative educational technology professionals.
This book introduces readers to the current status of smart learning in China by providing extensive and accurate data from different contexts of smart learning. In particular, it investigates smart learning in smart cities, which extends the concept of smart learning to cover both formal and informal learning, and to support life-long learning. With digital technologies and the Internet becoming increasingly integrated into learning, the demand for smart learning has grown steadily, especially in smart city scenarios. As the need for life-long learning is on the rise, smart learning environments in cities should be equipped to meet people’s demands. Smart learning/education is also one of the key applications of smart cities. Though the book’s content mainly focuses on the educational technology field, research in cities and industries is also included. This book offers a valuable resource for graduate students in educational technology, smart learning environment and smart city researchers, cooperative university managers, and all others who are interested in smart learning industries.
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]
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