Artificial Intelligence-Based Smart Engineering Education

被引：3

作者：

Ouyang, Fan ^{[1
]}

Jiao, Pengcheng ^{[2
]}

Alavi, Amir H. ^{[3
,4
]}

机构：

[1] Zhejiang Univ, Coll Educ, Hangzhou 310068, Zhejiang, Peoples R China

[2] Zhejiang Univ, Ocean Coll, Zhoushan 3216021, Zhejiang, Peoples R China

[3] Univ Pittsburgh, Dept Civil & Environm Engn, Pittsburgh, PA 15260 USA

[4] Asia Univ, Dept Comp Sci & Informat Engn, Taichung, Taiwan

来源：

SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2020 | 2020年 / 11379卷

基金：

中国国家自然科学基金;

关键词：

Artificial intelligence; Smart engineering education; Paradigmatic shifts; TUTORING SYSTEMS; ONLINE; ENGAGEMENT;

D O I：

10.1117/12.2557464

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Artificial intelligence has the capacity to open new opportunities and potentials for engineering education. Artificial intelligence in education has undergone several paradigmatic shifts in its brief history. This study investigates the advent, development and future trends of artificial intelligence-based smart engineering education (AIED-Eng). Particular focus is placed on major paradigms in AIED-Eng including leaner-receiver, learner-partner and learner-center. The artificial intelligence techniques applied to these paradigms are evaluated. Computer-based tools enabling the engineering education paradigms are summarized. Further discussion is presented about the key role of artificial intelligence in improving smart engineering education as a guidance for future learning, teaching and design processes.

引用

页数：7

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