德尔菲法
机器人
领域(数学)
人工智能
考试(生物学)
德尔菲
计算机科学
试验设计
工程管理
工程类
数学
试验方法
操作系统
古生物学
统计
纯数学
生物
作者
Wen-Jye Shyr,Fu Chun Yang,Po Wen Liu,Ying Ming Hsieh,Ci Syong You,Dyi-Cheng Chen
摘要
This study identified a number of indicators that are essential for measuring the learning effects on students involved in artificial intelligence (AI)-based robot design. Ten experts were recruited as Delphi group members, including three mechanical engineers in the field of robot design and seven scholars from a university. The data collected from the questionnaires were analyzed using Z values from the Kolmogorov–Smirnov test. The questionnaire was used to identify assessment indicators in six dimensions: (a) Remember, (b) understand, (c) apply, (d) analyze, (e) evaluate, and (f) create. Our findings provide a valuable reference for educators in the field of engineering and technology education involved in the development of programs in AI-based robot design.
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