德尔菲法
德尔菲
读写能力
集合(抽象数据类型)
心理学
计算机科学
数据科学
医学教育
人工智能
教育学
医学
操作系统
程序设计语言
作者
Matthias Carl Laupichler,Alexandra Aster,Tobias Raupach
标识
DOI:10.1016/j.caeai.2023.100126
摘要
Artificial intelligence literacy is a concept that has been the focus of exhaustive research recently. However, there are very few psychometrically sound and thoroughly evaluated instruments that attempt to assess AI literacy in a valid way. Therefore, this study presents an item set to assess the AI literacy of non-experts. In the context of a Delphi expert study, 53 subject matter experts participated in three iterative questionnaire rounds to generate potential AI literacy items and assess their content validity. In addition, the experts made suggestions on how the items’ wording accuracy could be improved and evaluated the wording suggestions of the other experts. Of 47 potential items, 38 were judged relevant for inclusion in a final AI literacy questionnaire. The result is one of the first freely available AI literacy item sets and represents an important first step in assessing AI literacy and its subconstructs. Finally, the development of the items through the execution of an iterative Delphi study and the strong focus on content validity contribute to the advancement of AI literacy theory.
科研通智能强力驱动
Strongly Powered by AbleSci AI