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AI Educational System for Primary and Secondary Schools

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Conference

2019 ASEE Annual Conference & Exposition

Location

Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

June 19, 2019

Conference Session

Curriculum and Assessment III

Tagged Division

Computing and Information Technology

Page Count

14

Permanent URL

https://peer.asee.org/32050

Download Count

22

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Paper Authors

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Xiaoyan Gong Institute of Smart Education, Qingdao Academy of Intelligent Industries.

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Prof. Xiaoyan Gong got a Ph.D. from the Chinese Academy of Sciences in 2003. Supported by the Beijing Science and Technology Star Program, she went to University of Arizona as visiting scholar in 2005. Her research interest is intelligent transportation systems, Intelligent education. Email: xiaoyan.gong@ia.ac.cn

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Liang Zhao Faculty of Information Technology, Beijing University of Technology

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RenHao Tang Faculty of Information Technology, Beijing University of Technology

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An undergraduate of Beijing University of Technology

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YaNa Guo Faculty of InformationTechnology,Beijing University of Technology

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I am a senior student of Beijing University of Technology,majoring in Computer Science and Technology.

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Xiwei Liu Qingdao Academy of Intelligent Industries; Institute of Automation, Chinese Academy of Sciences

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Xiwei Liu is an associate professor of engineering at the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, and an executive deputy director of Institute of Smart Education Systems, Qingdao Academy of Intelligent Industries. He received the Ph.D. degree at Nara Institute of Science and Technology, Japan in 2006. His research interest covers smart education systems, science and technology innovation education, human factor engineering, sensor network, modeling and control of complex systems, management information system.

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Jian He Faculty of Information Technology, Beijing University of Technology

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Jian He is now with Beijing Engineering Research Center for IoT Software and Systems. He is an associate professor at Beijing University of Technology, Beijing 100124, China (e-mail: Jianhee@bjut.edu.cn).

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Fei-Yue Wang National Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences

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Professor & Director of the National Key Laboratory of Management and Control for Complex Systems, CASIA, Chinese Academy of Sciences, and President of Qingdao Academy of Intelligent Industries. He received his Ph.D. from RPI, Troy, NY in 1990 and has been a researcher, educator, and practitioner of intelligent and complex systems for more than 30 years. He is member of Sigma Xi and Fellow of IEEE, INCOSE, IFAC, ASME, and AAAS. He has been awarded the National Prize in Natural Sciences of China, the Outstanding Scientist of ACM, IEEE ITS Outstanding Application and Research Awards, IEEE SMC Norbert Wiener Award.
Prof. Wang was the Editor-in-Chief of IEEE Intelligent ITS Magazine, and IEEE Intelligent Systems, IEEE Transactions on ITS. He was the President of IEEE ITS Society, Chinese Association for Science and Technology (CAST, USA), and the American Zhu Kezhen Education Foundation. Since 2008, he is the Vice President and Secretary General of Chinese Association of Automation.

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Ying Tang Rowan University

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Ying Tang received the B.S. and M.S. degrees from the Northeastern University, P. R. China, in 1996 and 1998, respectively, and Ph.D degree from New Jersey Institute of Technology, Newark, NJ, in 2001. She is currently a Professor of Electrical and Computer Engineering (ECE) at Rowan University, Glassboro, NJ. Her research interests include virtual reality and augmented reality, artificial intelligence, and modeling and scheduling of computer-integrated systems. Dr. Tang is very active in adapting and developing pedagogical methods and materials to enhance engineering education. Her most recent educational research includes the collaboration with Tennessee State University and local high schools to infuse cyber-infrastructure learning experience into the pre-engineering and technology-based classrooms, the collaboration with community colleges to develop interactive games in empowering students with engineering literacy and problem-solving, the integration of system-on-chip concepts across two year Engineering Science and four year ECE curricula, and the implementation of an educational innovation that demonstrates science and engineering principles using an aquarium. Her work has resulted in over 150 journal and conference papers and book chapters.

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Wanruo Shi Beijing Normal University

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Faculty of Education

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Xiaojie Niu Beijing Normal University

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Xinzhu Wang Beijing Normal University

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Abstract

this paper presents an AI education system and related AI curricula specifically designed for primary and secondary students at different cognitive levels. In this system, complicated AI algorithms are encapsulated and modularized with friendly and easy-to-use interfaces. AI curricula are developed based on constructivism, project-based learning and multidisciplinary integration. Typical teaching cases, such as speech recognition, text recognition, image recognition, intelligent transportation, smart home, intelligent robots, etc., which are used to enhance comprehension of AI concepts and applications, are also discussed.

Gong, X., & Zhao, L., & Tang, R., & Guo, Y., & Liu, X., & He, J., & Wang, F., & Tang, Y., & Shi, W., & Niu, X., & Wang, X. (2019, June), AI Educational System for Primary and Secondary Schools Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. https://peer.asee.org/32050

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