DECODING THE HUMAN-AI RELATIONSHIP USING THE AIDUA MODEL: APPRAISAL OUTCOMES AND EFL STUDENTS' INTENTIONS
DECODING THE HUMAN-AI RELATIONSHIP USING THE AIDUA MODEL: APPRAISAL OUTCOMES AND EFL STUDENTS' INTENTIONS

Summary/Abstract: The rapid growth of artificial intelligence (AI) has impacted diverse sectors, including language education, highlighting the critical importance of user acceptance and key factors that facilitate AI adoption. This study employs a quantitative approach to investigate the factors influencing English as a Foreign Language (EFL) students' willingness and objections to using AI in English language learning, utilizing the AIDUA framework. An online survey was sent to EFL Vietnamese students, and 1,118 valid responses were analyzed using SmartPLS 4.0.9.8. The findings revealed that although all the factors in primary appraisal significantly influenced students' willingness to accept AI, they had little impact on students' objections. Surprisingly, while affective attitude significantly influences students' willingness to use AI for English learning, it also triggers emotional resistance, revealing a complex emotional dynamic. Conversely, cognitive attitude marginally softens hesitance yet exerts a more substantial influence on students' willingness. The study provides insights into the application of AI in English learning, highlighting the cognitive and affective aspects of students' learning experiences.

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