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The Potential of Generative AI used for AI Literacy Framework Construction

  • Jiayi Wu
  • , Bo Zhang*
  • , Jiayi Liu
  • , Bo Jiang
  • *Corresponding author for this work
  • East China Normal University
  • East China Normal University, China

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

This study uses a meta-analysis approach to review and extract the AI literacy framework indicators from literature published between 2016 and 2024. Through data analysis, we constructed an AI literacy framework that includes four main indicators: AI Knowledge, AI Skills, AI Attitudes, and AI Ethics. Additionally, we used generative AI to summarize and further refine these indicators, creating a framework that includes primary, secondary, and tertiary indicators. The research found that the AI literacy framework built using generative AI is highly consistent with the framework constructed through data analysis in terms of indicator dimensions. Therefore, the framework developed with generative AI is scientifically valid and effective, highlighting its potential in building AI literacy frameworks.
Original languageEnglish
Title of host publication Proceedings of 2025 Society for Information Technology & Teacher Education International Conference (2025 SITE)
PublisherAssociation for the Advancement of Computing in Education (AACE)
Pages1007
Number of pages1016
Publication statusPublished - 21 Mar 2025

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