Identifying the components of foundational Artificial Intelligence (AI) literacy - Early results from a Delphi study


  • Kathryn MacCallum Canterbury University
  • David Parsons
  • Mahsa Mohaghegh



AI Literacy, Delphi Study, Capability Model


This article provides some initial results from the first phase of a Delphi study to identify the critical components of an Artificial Intelligence (AI) literacy curriculum. This article explores the study results that address a four-level capability model, but only the lowest level of this model. The Delphi panel comprised 17 experts in AI, and the first round of the study used a survey to gather the experts' responses in three areas that were based on previous literature - knowledge (and concepts) of AI, skills related to AI, and understanding AI in context. A structured thematic analysis revealed several themes under these categories. For foundational knowledge and concepts, it was determined that three areas were needed, namely 1) what is AI? 2) applications of AI, and 3) AI technologies. Skills were divided into cognitive and technical skills, with cognitive skills further divided into 21st-century and applied skills. Understandings comprised social issues, risks, and debates. The repeated ideas that formed these themes gave rich insights into how an AI literacy curriculum might be structured and provided a firm foundation for subsequent rounds of the study, which will involve further iteration and consolidation of these ideas.

Author Biography

Kathryn MacCallum, Canterbury University

Associate Professor