摘要
近年来,以ChatGPT和DeepSeek等为代表的生成式AI大模型,为高校思想政治教育高质量发展提供了新的机遇。本研究基于“刺激—有机体—反应”(S-O-R)理论框架,构建了思政课教师将AI大模型用于思政教育的影响因素理论模型,并通过结构方程模型(SEM)进行实证检验。研究结果表明:智能崇拜显著正向影响教师的应用意愿,而系统信息质量的影响未达到显著水平;应用成本感知和风险感知显著削弱了教师的应用意愿,价值感知则起到强化作用。此外,数字焦虑在不同路径中呈现出差异化的调节效应。基于研究结果,本文从推动工具理性与价值理性耦合、把控技术增益与风险规避之间的平衡,以及缓解数字焦虑与提升技术适应能力并行等方面提出建议,为AI赋能思政教育创新实践提供参考。
In recent years,generative AI large models represented by DeepSeek and ChatGPT have presented new opportunities for the high-quality development of ideological and political education in colleges and universities.Based on the“Stimulus-Organism-Response”(S-O-R)theoretical framework,this study constructs a theoretical model to examine the factors influencing ideological and political educators′adoption of AI large models and empirically tests it by using structural equation modeling(SEM).The findings indicate that AI worship significantly and positively influences teachers′adoption intention,whereas the impact of system information quality is not statistically significant.Additionally,perceived application cost and perceived risk significantly weaken teachers′adoption intention,while perceived value plays a reinforcing role.Furthermore,digital anxiety exhibits differential moderating effects across various pathways.Based on these findings,this study proposes recommendations from three perspectives:promoting the coupling of instrumental rationality and value rationality,managing the trade-off between technological benefits and risk mitigation,and alleviating digital anxiety while enhancing technological adaptability.These insights contribute to the discourse on AI-driven innovation in ideological and political education.
作者
黄飞凯
杨万强
Huang Feikai;Yang Wanqiang
出处
《天府新论》
2025年第5期65-77,156,共14页
New Horizons from Tianfu
基金
国家社会科学基金项目“人工智能赋能高校思想政治教育的逻辑进路与实践审思研究”(编号:23BKS164)。
关键词
思想政治教育
技术赋能
AI
大模型
DeepSeek
实证研究
ideological and political education
technology empowerment
AI large model
DeepSeek
empirical study
