인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
With the growing use of generative AI in language education, AI chatbots have become key tools in university English learning. Drawing on the Technology Acceptance Model(TAM) and the Interaction Hypothesis in second language acquisition to propose an integrated framework. The framework examines how comprehensible input, negotiation of meaning, pushed output, and feedback influence learners’ perceived ease of use, perceived usefulness, and behavioral intention to use AI chatbots. A total of 527 valid responses were collected through a questionnaire survey. Structural equation modeling was employed for data analysis. The results show that all core paths of TAM are supported. Perceived ease of use significantly enhances both perceived usefulness and behavioral intention. Comprehensible input, pushed output, and feedback significantly affect perceived usefulness. Feedback also significantly increases perceived ease of use. Although negotiation of meaning shows no significant direct effect, it demonstrates a meaningful indirect effect through perceived usefulness. Mediation analyses further reveal that all four interaction-related factors influence behavioral intention, with feedback exhibiting a notable chain mediation effect. This study provides theoretical insights into the acceptance mechanisms of AI-based language learning tools. It also offers practical implications for improving learner experience through interface design.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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