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April 19, 2026PLoS ONE3 citationsOpen Access

AI literacy among basic school teachers in Ghana: A structural equation modelling analysis

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VAValentina ArkorfulFAFrancis ArthurEOErnest Opoku

Key Points

  • The study aims to explore the dimensions of AI literacy among basic school teachers in Ghana and their interrelationships.
  • Cross-sectional survey design
  • Purposive sampling of 319 basic school teachers in Ghana
  • Variance-based structural equation modelling analysis
  • AI application positively influences AI knowledge and understanding, AI application evaluation, and AI ethics.
  • AI ethics does not significantly influence AI knowledge and understanding and AI application evaluation.
  • AI knowledge and understanding does not influence AI application evaluation.

Abstract

Understanding the synergy of Artificial Intelligence (AI) literacy among teachers is imperative for successful integration in educational settings. This study examined basic school teachers’ (BSTs) AI literacy based on four key aspects: AI knowledge and understanding (KUAI), AI application (AAI), AI application evaluation (EAIA), and AI ethics (AIE). The study employed a cross-sectional survey design and purposive sampling to collect data from 319 BSTs in Ghana. A variance-based structural equation modelling (VB-SEM) approach was used to explore the relationships between these dimensions and provide insights into their interrelationships. The study found that AAI positively influenced KUAI, EAIA, and AIE. However, AIE did not significantly influence KUAI and EAAI. In addition, KUAI did not influence EAIA. The findings contribute to understanding the current state of AI literacy among BSTs in Ghana and highlight areas for improvement in AI education and professional development programmes.

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Cite This Study

Arkorful et al. (2026) studied this question.

synapsesocial.com/papers/69e4741c010ef96374d8fdaehttps://doi.org/10.1371/journal.pone.0347117
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