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Integrating the Technology Acceptance Model (TAM) and the Value-Based Adoption Model (VAM) to Explore Pre-Service Early Childhood Teachers' Intention to Adopt AI Technology in Education

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2024, 10(5), pp.179-184
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : September 7, 2024
  • Accepted : October 7, 2024
  • Published : October 31, 2024

Jiyeun Chang 1

1백석대학교

Accredited

ABSTRACT

AI has the potential to enhance the effectiveness of early childhood education by offering personalized learning experiences, while AI-based educational tools are expected to improve teachers' work efficiency and contribute to the creation of innovative learning environments. Consequently, equipping pre-service early childhood teachers with the ability to adopt and effectively utilize AI technology is considered a crucial task in preparing for future educational environments. The Technology Acceptance Model (TAM) has been widely used to evaluate the acceptance of information technology services, but its limitations in predicting adoption intentions have been noted. To address these limitations, this study proposes an integrated model combining TAM with the Value-Based Adoption Model (VAM). A survey was conducted among pre-service early childhood teachers, and the collected data were analyzed using SPSS 27 and SmartPLS 4.0. The analysis revealed that perceived ease of use had a significant effect on perceived usefulness, and both perceived usefulness and enjoyment positively influenced AI adoption intention through the mediating effect of perceived value. Conversely, perceived risk was found to have a negative impact on AI adoption intention. The findings of this study are expected to deepen understanding of the potential for AI application in early childhood education and its acceptance, considering the broader implications of AI across various fields.

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