AI education system for primary and secondary schools

Xiaoyan Gong; Liang Zhao; Ren Hao Tang; Ya Na Guo; Xiwei Liu; Jian He; Fei Yue Wang; Ying Tang; Wanruo Shi; Xiaojie Niu; Xinzhu Wang

AI education system for primary and secondary schools

Xiaoyan Gong
, Liang Zhao
, Ren Hao Tang
, Ya Na Guo
, Xiwei Liu
, Jian He
, Fei Yue Wang
, Ying Tang
, Wanruo Shi
, Xiaojie Niu
, Xinzhu Wang

Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

9 Scopus citations

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.

Original language	English (US)
Journal	ASEE Annual Conference and Exposition, Conference Proceedings
State	Published - Jun 15 2019
Event	126th ASEE Annual Conference and Exposition: Charged Up for the Next 125 Years, ASEE 2019 - Tampa, United States Duration: Jun 15 2019 → Jun 19 2019

All Science Journal Classification (ASJC) codes

General Engineering

Cite this

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title = "AI education system for primary and secondary schools",

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.",

author = "Xiaoyan Gong and Liang Zhao and Tang, \{Ren Hao\} and Guo, \{Ya Na\} and Xiwei Liu and Jian He and Wang, \{Fei Yue\} and Ying Tang and Wanruo Shi and Xiaojie Niu and Xinzhu Wang",

note = "Publisher Copyright: {\textcopyright} American Society for Engineering Education, 2019; 126th ASEE Annual Conference and Exposition: Charged Up for the Next 125 Years, ASEE 2019 ; Conference date: 15-06-2019 Through 19-06-2019",

year = "2019",

month = jun,

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language = "English (US)",

journal = "ASEE Annual Conference and Exposition, Conference Proceedings",

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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

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 - https://www.scopus.com/pages/publications/85097577880

UR - https://www.scopus.com/pages/publications/85097577880#tab=citedBy

M3 - Conference article

AN - SCOPUS:85097577880

SN - 2153-5965

JO - ASEE Annual Conference and Exposition, Conference Proceedings

JF - ASEE Annual Conference and Exposition, Conference Proceedings

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 -

AI education system for primary and secondary schools

Abstract

All Science Journal Classification (ASJC) codes

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