Charting Competence: A Holistic Scale for Measuring Proficiency in Artificial Intelligence Literacy

  • Chien Wen Yuan*
  • , Hsin yi Sandy Tsai
  • , Yu Ting Chen
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The rapid evolution of AI technologies has reshaped our daily lives. As AI systems become increasingly prevalent, AI literacy, the ability to comprehend and engage with these technologies, becomes paramount in modern society. However, existing research has yet to establish a comprehensive framework for AI literacy. This study aims to fill this gap by developing a holistic AI literacy scale. Three levels of dimensions are considered: individual, interactive, and sociocultural. The scale includes cognitive, behavioral, and normative competencies. After rigorous reliability and validity assessments, the final AI literacy scale comprises six dimensions: AI features, AI processing, algorithm influences, user efficacy, ethical consideration, and threat appraisal. Detailed scale development, validation, and dimension-specific items are thoroughly explained. This comprehensive scale equips individuals with the competencies needed to navigate and critically engage with AI in today’s multifaceted AI landscape.

Original languageEnglish
Pages (from-to)1675-1704
Number of pages30
JournalJournal of Educational Computing Research
Volume62
Issue number7
DOIs
Publication statusPublished - 2024 Dec
Externally publishedYes

Keywords

  • AI competence assessment
  • AI literacy
  • artificial intelligence
  • multi-level construct
  • scale development

ASJC Scopus subject areas

  • Education
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Charting Competence: A Holistic Scale for Measuring Proficiency in Artificial Intelligence Literacy'. Together they form a unique fingerprint.

Cite this