TY - JOUR
T1 - AI education system for primary and secondary schools
AU - Gong, Xiaoyan
AU - Zhao, Liang
AU - Tang, Ren Hao
AU - Guo, Ya Na
AU - Liu, Xiwei
AU - He, Jian
AU - Wang, Fei Yue
AU - Tang, Ying
AU - Shi, Wanruo
AU - Niu, Xiaojie
AU - Wang, Xinzhu
N1 - Funding Information:
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: xi-aoyan.gong@ia.ac.cn
Funding Information:
systems,core courses, techinical courses and integration courses. For standard curricula system, core courses consist of Ocean Sciences, Intelligent Transportation, Smart Home and etc., technical courses consist of designing, simulating, fabricating, assembling, coding, testing and operating, and integration courses consist of projects, contests and tasks. For personlized curriculum system, core courses are the same with different teaching cases, while techincal courses will be changed into wood cars, laser cutting, smart cars and etc or Robot arms, Drones, and Ecosystem Diversity and etc. Integration courses will be patrol navigation and remove roadblocks or First Aid at seashore and Seawater Cleaning. It can not only meet learning standards but also meet personalized requirements by changing related modules from standard modules into personalzied modules according to their interests. Acknowledgement This paper was partially supported by the National Natural Science Foundation of China(61533019, 61773381 ， 71232006, 61233001), 2018 Science and Technology Innovation Program for Students from Chinese Academy of Sciences, and 2018 Practices Training Program for University Students in Beijing. Reference
Publisher Copyright:
© American Society for Engineering Education, 2019
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/6/15
Y1 - 2019/6/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85097577880&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85097577880&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85097577880
JO - ASEE Annual Conference and Exposition, Conference Proceedings
JF - ASEE Annual Conference and Exposition, Conference Proceedings
SN - 2153-5965
T2 - 126th ASEE Annual Conference and Exposition: Charged Up for the Next 125 Years, ASEE 2019
Y2 - 15 June 2019 through 19 June 2019
ER -