计算机科学
Boosting(机器学习)
增强现实
人工智能
集合(抽象数据类型)
工程教育
数学教育
机器学习
人机交互
工程管理
心理学
工程类
程序设计语言
作者
Jeongah Kim,Jaekwoun Shim
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:10: 14149-14156
被引量:45
标识
DOI:10.1109/access.2022.3145355
摘要
The purpose of this study is to develop an AR-based app to teach non-engineering majors AI and analyze the educational effect. AIEduAR has developed a visual solution that displays the methods of teaching non-engineering majors how the machine learning on their own. Eighty-eight undergraduates who had not received any AI education were given lessons on AI learning principles and required to solve 10 problems using AIEduAR. Through AIEduAR, the students inputted data into augmented reality, set data attributes and learning rates, and entered new data to check out the accuracy of trained AI. Analysis of the technology acceptance model and Instructional Materials Motivation Survey questionnaire concluded that they are highly likely to accept and learn AR technology in AI education. Moreover, AIEduAR turned out to be effective in boosting their confidence in learning and instantaneous feedback. This study has successfully incorporated AR into AI education and developed learning steps required for AI education using AR.
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