articleBehaviour and Information TechnologyMay 10, 2022Closed access

Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale

BWBingcheng WangPPPei‐Luen Patrick RauTYTianyi Yuan

Tsinghua University

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Abstract

As artificial intelligence (AI) became a part of daily life, it has become important to determine user competence in using AI technology. Here, we propose the concept of AI literacy and develop a quantitative scale for obtaining accurate data regarding the AI literacy of ordinary users. We first identified the primary core constructs of AI literacy, including awareness, use, evaluation, and ethics. Next, we generated 65 items to capture these four constructs; only 31 items were retained after a three-step content validation process. Then, we conducted a survey, and collected two samples of data. By reducing the number of items using the first sample and performing reliability and validity tests on the second…

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690
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FWCI
111.87
Percentile
100%
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69
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Authors

3

Topics & keywords

Topics
Keywords
  • Competence (human resources)
  • Literacy
  • Artificial intelligence
  • Computer science
  • Sample (material)
  • Construct validity
  • Scale (ratio)
  • Psychology
UN Sustainable Development Goals
  • Quality Education
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