Scholarlink

<p>AI chatbots, which use artificial intelligence and are growing in popularity offer interactive learning environments. In this current study, we used the Technology Acceptance Model (TAM) for the acceptance of AI chatbots in the educational environment. The expanded model included the variables of AI chatbot trust and individual innovativeness. A total of 306 university students participated in the research. According to the Partial Least Squares Structural Equation Modeling (PLS-SEM) results, the model explained 61% of the&#xa0;variance in intention to use AI chatbots for educational purposes. This study shows that AI trust and individual innovativeness offer deeper insights into &#xa0;the research&#xa0;model. Based on these findings, practical recommendations include providing supportive activities to improve ease of use and usefulness, encouraging innovation among less innovative students, and enhancing chatbot design with more humanistic and pedagogical features to build trust and engagement.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Understanding the intention to use artificial intelligence chatbots in education: The role of individual innovativeness and AI trust among university students

  • 期刊论文

  • 发表日期：

    2025年7月2日

查看全文
  • Şahin Gökçearslan,
  • Elif Esiyok,
  • Kemal Gurkan Kucukergin

摘要

AI chatbots, which use artificial intelligence and are growing in popularity offer interactive learning environments. In this current study, we used the Technology Acceptance Model (TAM) for the acceptance of AI chatbots in the educational environment. The expanded model included the variables of AI chatbot trust and individual innovativeness. A total of 306 university students participated in the research. According to the Partial Least Squares Structural Equation Modeling (PLS-SEM) results, the model explained 61% of the variance in intention to use AI chatbots for educational purposes. This study shows that AI trust and individual innovativeness offer deeper insights into  the research model. Based on these findings, practical recommendations include providing supportive activities to improve ease of use and usefulness, encouraging innovation among less innovative students, and enhancing chatbot design with more humanistic and pedagogical features to build trust and engagement.