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生成式人工智能赋能高校思政课情境教学的机制与路径

The mechanism and path of empowering situational teaching of ideological and political courses in universities with generative artificial intelligence
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摘要 生成式人工智能为高校思政课教学改革创新带来重大机遇。高校思政课情境教学植根于情境认知理论,强调学习的情境性、具身性与交互性,对提升教学亲和力、促进学生深度思考与情感共鸣具有重要价值。生成式人工智能通过优化教学情境创设、增强人机交互体验、推动教学模式变革及助力学习共同体建设四方面机制赋能高校思政课情境教学,有力重塑了思政课的教学场景、体验环境、交互情境。为了更好地利用生成式人工智能赋能高校思政课情境教学,需要优化教学情境,推动教学场域深度重构;重视人机交互,增强学生理解认同效果;构建智慧情境,提高教学模式育人实效;助力共进共创,建设协作型学习共同体。 Generative artificial intelligence brings important opportunities for the reform and innovation of ideological and political education in universities.The situational teaching of ideological and political courses in universities is rooted in the theory of situational cognition,emphasizing the situational,embodied,and interactive nature of learning.It has important value in enhancing teaching affinity,promoting deep thinking,and emotional resonance.Generative artificial intelligence can empower the situational teaching of ideological and political courses through four mechanisms:optimizing the creation of teaching contexts,enhancing human-computer interaction experiences,promoting teaching mode changes,and assisting in the construction of learning communities.It effectively reshapes the teaching scenarios,experiential environments,and interactive contexts of ideological and political courses.In order to better utilize generative artificial intelligence to empower the situational teaching of ideological and political courses,it is necessary to optimize the teaching situation and promote the deep reconstruction of the teaching field,emphasize human-computer interaction and enhance students’understanding and identification,build intelligent scenarios to improve the effectiveness of teaching models in nurturing students,and assist in co-creating and build a collaborative learning community.
作者 唐玉溪 漆钰 蒲清平 TANG Yuxi;QI Yu;PU Qingping(School of Marxism,Shenzhen University,Shenzhen 518060,P.R.China;School of Marxism,Chongqing University,Chongqing 400044,P.R.China)
出处 《高等建筑教育》 2025年第4期174-180,共7页 Journal of Architectural Education in Institutions of Higher Learning
基金 教育部2021年度高校思想政治理论课教师研究专项一般项目“智能时代‘四史’教育融入高校思政课教学研究”(21JDSZK092)。
关键词 智能时代 生成式人工智能 高校思想政治理论课 情境教学 intelligent era generative AI college ideological and political theory courses situational teaching
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