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Abstract：
This study is centered on investigating the acceptance and utilization of AI Chatbot technology among graduate students in China and its implications for higher education. Employing a fusion of the UTAUT (Unified Theory of Acceptance and Use of Technology) model and the ECM (Expectation-Confirmation Model), the research seeks to pinpoint the pivotal factors influencing students\' attitudes, satisfaction, and behavioral intentions regarding AI Chatbots. The study constructs a model comprising seven substantial predictors aimed at precisely foreseeing users\' intentions and behavior with AI Chatbots. Collected from 373 students enrolled in various universities across China, the self-reported data is subject to analysis using the partial-least squares method of structural equation modeling to confirm the model\'s reliability and validity. The findings validate seven out of the eleven proposed hypotheses, underscoring the influential role of ECM constructs, particularly \"Confirmation\" and \"Satisfaction,\" outweighing the impact of UTAUT constructs on users\' behavior. Specifically, users\' perceived confirmation significantly influences their satisfaction and subsequent intention to continue using AI Chatbots. Additionally, \"Personal innovativeness\" emerges as a critical determinant shaping users\' behavioral intention. This research emphasizes the need for further exploration of AI tool adoption in educational settings and encourages continued investigation of their potential in teaching and learning environments.
摘要：
本研究旨在调查中国研究生对AIChatbot技术的接受和利用情况及其对高等教育的启示。采用UTAUT（接受和使用技术的统一理论）模型和ECM（期望-确认模型）的融合，这项研究旨在查明影响学生态度的关键因素，满意,和关于人工智能聊天机器人的行为意图。该研究构建了一个包含七个重要预测因素的模型，旨在通过AI聊天机器人准确预测用户的意图和行为。从中国各大学注册的373名学生中收集，采用结构方程模型的偏最小二乘法对自报数据进行分析,确认模型的可靠性和有效性。研究结果验证了11个提出的假设中的7个，强调ECM结构的影响作用，特别是“确认”和“满意”，“超过了UTAUT构造对用户行为的影响。具体来说,用户的感知确认显着影响他们的满意度和随后继续使用AI聊天机器人的意图。此外,“个人创新”是塑造用户行为意图的关键决定因素。这项研究强调了在教育环境中进一步探索人工智能工具采用的必要性，并鼓励继续调查它们在教学和学习环境中的潜力。
