信息类专业学生应用AIGC技术模型的构建与实证研究

Construction and Empirical Research on the Application of AIGC Technology Model by Information Majors

摘要: 人工智能生成内容技术已深度融入教育领域中，为了探究影响信息专业类的学生应用AIGC技术的关键因素的作用机理，以期为推动“人工智能 + 教育”领域提供理论借鉴和实践指导，将技术接受模型和期望失验理论整合，结合感知有用性、感知易用性和满意度等构念构建AIGC运用概念模型，提出研究假设和设计调查问卷，采用偏最小二乘法分析数据并对测量模型和结构模型进行评估。研究发现：信息质量和感知绩效正向影响满意度，进而满意度、感知有用性和感知易用性正向影响AIGC工具的使用意愿。本研究除了揭示影响学生应用AIGC技术的关键因素及其作用机理以外，还结合研究结果给出教学实践启示，为数智时代的信息类专业的教学提供参考。

Abstract: Artificial intelligence generated content technology has been deeply integrated into the field of education, in order to explore the mechanism of the key factors that affect the application of AIGC technology by information majors. In order to provide theoretical reference and practical guidance for promoting the field of “artificial intelligence + education” specialty, this study integrated the technology acceptance model and expectation disconfirmation theory, combined perceived usefulness, perceived ease of use and satisfaction to construct the conceptual model of AIGC, proposed the research hypothesis and designed the questionnaire, used partial least squares to analyze the data, and evaluated the measurement model and structural model. The results show that information quality and perceived performance positively affect satisfaction, and further, satisfaction, perceived usefulness and perceived ease of use positively affect the intention to use AIGC tools. This study not only reveals the key factors that affect students’ application of AIGC technology and its mechanism, but also gives enlightenment to teaching practice based on the results of the study, which provides a reference for the teaching of information majors in the era of mathematical intelligence.