A Collection of AI Innovations by Chinese Teenagers (eBook, PDF)

Discovering Youthful Ingenuity
Redaktion: Huang, Ronghuai; Li, Yanyan; Zhang, Jinbao; Liu, Dejian

• Format: PDF

Produktbeschreibung

This book presents 10 artificial intelligence (AI) innovation projects by Chinese teenagers, including innovations on intelligent medical care, environmental protection, education, transportation, among others. It delves into the technical details of these innovations, providing readers with a comprehensive understanding of the concepts and technologies involved in each case. The book also discusses the challenges faced by young innovators and their approaches to overcome them, and serves as a valuable resource for readers interested in the practical applications of AI.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 197
• Erscheinungstermin: 9. August 2024
• Englisch
• ISBN-13: 9789819733163
• Artikelnr.: 71442804

Autorenporträt

Dr. Ronghuai Huang is a professor in the Faculty of Education at Beijing Normal University (BNU), China. He has been engaged in research on smart learning environments, artificial intelligence in education, educational technology, and knowledge engineering. He received the 'Chang Jiang Scholar' award in 2016, which is the highest academic award presented to an individual in higher education by the Ministry of Education of China. He serves as the co-dean of the Smart Learning Institute, the director of the UNESCO (United Nations Educational, Scientific and Cultural Organization) International Rural Educational and Training Center, and the director of the China National Engineering Lab for Cyberlearning Intelligent Technology. He has accomplished/is working on over 100 projects, and his ideas have been widely spread, with about 400 academic papers and over 40 books published in China and aboard.   Dr. Dejian Liu is a senior engineer, graduated from the University of Kansas, the USA, and received a Ph.D. degree from Beijing Normal University (BNU), China in 2020. He works as the chairman and executive director at NetDragon Websoft, and also serves on the Board of Directors at Fujian TQ Digital Incorporation, on the Board at Baidu, and as a member of the Standing Committee at Fujian Science Association. As the vice-chairman of the Fujian Young Entrepreneur Association, he has received numerous awards, including the Business Venture Hero award, Excellent Entrepreneur award, Youth Entrepreneurship Achievement award, and the Science and Technology for Young People award.   Dr. Jinbao Zhang is an associate professor and an established thought leader in the field of Education Technology at the School of Educational Technology, Beijing Normal University (BNU), China. He earned his Bachelor's, Master's, and Ph.D. in Education Technology from BNU and is responsible for various courses, including Instruction Technology Foundations and Project Management of Instruction Design and Development. Prior to his ongoing tenure at BNU, he worked as an engineer at People's Education Press in China, and as a lecturer at Tianjin Radio and Television University. His research endeavors primarily concentrate on the mechanisms of innovation diffusion in educational technology, particularly in K-12 (kindergarten to 12th grade) settings. He has authored more than 27 journal articles and six books, including 'Innovation and Reform: Key Value of ICT in Education' and 'Information Technology and Education (2nd Version)'.   Dr. Yanyan Li is a professor at the Faculty of Education, Beijing Normal University (BNU), China. She received her Ph.D. degree in Computer Software and Theory from the Institute of Computing Technology, Chinese Academy of Sciences. She was the visiting scholar at the School of Computer Science, Carnegie Mellon University, USA. Her research interests include Artificial Intelligence (AI) in education, learning analytics, computer supported collaborative learning and STEM (Science, Technology, Engineering, and Mathematics). She is the principal investigator (PI) of multiple projects funded by the key research and development project of the Ministry of Science and Technology of China, the National Natural Science Foundation of China, the National Social Science foundation of China, and the Key Project of Beijing Educational Science 'Thirteenth Five-Year Plan'. She has published four academic books and more than 100 articles both in journals and for international conferences, covering interdisciplinary areas such as computer science, learning science, and educational studies.   Hongyu Chen is a senior education researcher of the Smart Learning Institute of Beijing Normal University (BNU), China. His main research fields is education technology.   Youjie Yao is a senior education researcher of the Smart Learning Institute of Beijing Normal University (BNU), China. His main research fields are smart education and artificial intelligence.   Dr. Ting-Wen Chang is a research fellow and director of the International Cooperation Office in the Smart Learning Institute of Beijing Normal University (BNU), China. He is mainly engaged in research on Smart Learning as well as many international cooperation projects.    Junxiu Wang is a senior project manager at the Smart Learning Institute, Beijing Normal University (BNU), China. She obtained her Master's degree in Education Technology from BNU.   Zailin Dai is a senior education researcher at the Smart Learning Institute of Beijing Normal University (BNU), China. His main research fields are smart education and virtual reality.

Inhaltsangabe

Introduction.- Preface.- Features of the book.- Case 1: A Monitoring System for Migratory Bird Beijing Swift with Object Detection.- Case 2: An Intelligent Detection System for Monitoring Food Waste in School Dining Rooms.- Case 3: A Stroke Diagnosis System with CNN Algorithm trained by OpenAccess Brain CT Datasets.- Case 4: Application of Face Detection for Learning Engagement in Classroom.- Case 5: A Smart Monitoring System on Refrigeration with Neural Network Models.- Case 6: A Rotor Fault Detection System Based on Nonlinear and Dynamic Response.- Case 7: A Detection System for Choosing Ripe Strawberry with Machine Learning.- Case 8: Developing An Interactive Show-Wall with Smart Home Technology for STEM Learning.- Case 9: An Intelligent Sensible System on Door Locker for Notification of Older People Lock-Forgetting.- Case 10: Designing a Smart Car for Connecting Home and Community Delivery Pick-up Point.