Development of assessment indicators for measuring the student learning effects of artificial intelligence‐based robot design

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...

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Bibliographic Details
Published inComputer applications in engineering education Vol. 27; no. 4; pp. 863 - 868
Main Authors Shyr, Wen‐Jye, Yang, Fu‐Chun, Liu, Po‐Wen, Hsieh, Ying‐Ming, You, Ci‐Syong, Chen, Dyi‐Cheng
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc 01.07.2019
Subjects
Artificial intelligence
artificial intelligence (AI)‐based
conceptual framework
Indicators
Learning
Mechanical engineers
Questionnaires
robot design
Robots
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Summary: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.
ISSN:1061-3773
1099-0542
DOI:10.1002/cae.22118