中国电化教育

以ChatGPT、Sora、Deep Seek为代表的生成式人工智能,凭借其强大的语言处理能力、深度的拟人交互能力和高超的创造生成能力而具备赋能优势,通过对话式知识生成、多元性主体互嵌、拟态化场景创设、可视化评价分析赋能高校思政课深度学习、具身互动、沉浸体验和过程叙事,擘画了思政课创新发展的应用图景。然而,生成式人工智能应用的张力失度,使其赋能高校思政课的风险大大增加,表现为内容资源的无序涌现影响价值传递、智能工具的类人响应冲击师生地位、拟态环境的过度渲染弱化实践属性、过程评价的符号表征阻碍情感连接。为此,可以通过研发思政垂直大模型、提升师生智能素养、发挥场景情境效应、开展智能循证评价,积极探索生成式人工智能赋能高校思政课的有效路径。

Generative artificial intelligence represented by Chat GPT, Sora and DeepSeek has the empowerment advantage by virtue of its powerful language processing capabilities, deep human-like interaction capabilities and super creative generation capabilities. It empowers the deep learning,embodied interaction, immersive experience and process narration of ideological and political courses in colleges and universities through conversational knowledge generation, multi-subject mutual embedding, mimetic scene creation and visual evaluation analysis, which depicting the application scenario for the innovative development of ideological and political courses. However, the excessive tension in the application of generative artificial intelligence has greatly increased the risks in its empowerment of ideological and political courses in colleges and universities,which is manifested as the disorderly emergence of content resources affecting value transmission, the human-like responses of intelligent tools threatening the status of teachers and students, the excessive dramatization of the pseudo-environment weakening the practical attributes, and the symbolic representation of process evaluation hindering emotional connection. Therefore, we can actively explore the effective approaches for generative artificial intelligence to empower ideological and political courses in colleges and universities by researching and developing vertical large models for ideological and political education, improving the intelligent literacy of teachers and students, leveraging the situational effects of scenes, and conducting intelligent evidence-based evaluation.