Structural Factors and AI-Generated Content Trust Influencing Educator Acceptance of Generative AI Tools: Extending the Technology Acceptance Model

Abstract

The rapid advancement of Generative Artificial Intelligence (GenAI) tools has created both opportunities and challenges in educational settings. This study examines the factors influencing educators' acceptance of GenAI tools by extending the Technology Acceptance Model (TAM) with additional constructs of external factors and trust in AI-generated content. Data were collected from 191 educators attending a two-day GenAI training program. After data screening for completeness and validity, 137 responses were retained for analysis. The questionnaire measured six key constructs: external factors, perceived usefulness, perceived ease of use, attitude towards use, behavioral intention, and trust in AI-generated content. The results show that perceived usefulness (Mean = 4.39, SD = 0.63) and attitude towards use (Mean = 4.39, SD = 0.66) are the strongest predictors of behavioral intention to use GenAI tools. Trust in AI-generated content demonstrates a weak influence on both perceived usefulness (r=0.065) and attitude towards use (r=-0.008).The strongest relationship was found between attitude towards use and behavioral intention (β =0.512). These findings suggest that while educators generally show positive intentions to adopt GenAI tools, their acceptance is significantly influenced by trust in AI-generated content and institutional support structures. The study provides theoretical implications for extending the TAM in educational technology contexts and practical recommendations for implementing GenAI tools in educational settings.

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