首页|超越机械思维:生成式人工智能如何改变高校"大思政课"

超越机械思维:生成式人工智能如何改变高校"大思政课"

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作为基于算法、模型、规则自动化生成文本、图片、声音、视频、代码等多模态内容的新技术,生成式人工智能的突出特征就是高智能、自主性、全面性和学习能力.但由于技术的"双刃剑"性质,生成式人工智能在重塑我国教育生态的同时,也因其即时交互、快速迭代和人机互动对课堂教学内容、教学方法与教育者提出更高要求,致使高校"大思政课"建设面临着诸多挑战.必须坚持问题导向,通过明确目标导向、强化技术赋能、聚焦核心要素、提升媒介素养,全面推动生成式人工智能与"大思政课"建设有机融合,进而促进高校思想政治教育数字化转型.
Beyond Mechanical Thinking:How Generative Artificial Intelligence is Changing the Great Ideology Class in Higher Education Institutions
As a new technology that automatically generates multi-modal content such as texts,pictures,sounds,videos,and codes based on algorithms,models,and rules,the outstanding features of generative artificial intelligence are high intelligence,autonomy,comprehensiveness,and learning capabilities.However,due to the double-edged sword nature of technology,while reshaping China's educational ecology,it also puts higher requirements on classroom teaching contents,teaching methods,and educators due to its instant interaction,rapid iteration,and human-computer interaction. Because of this,the construction of big ideology and politics courses in higher education institutions faces many challenges. In this regard,we must adhere to the problem-oriented approach,promote the organic integration of generative artificial intelligence and the construction of big ideological and political course by clarifying the goal orientation,strengthening technological empowerment,focusing on the core elements,and improving media literacy,so as to promote the digital transformation of ideological and political education in higher education institutions.

generative artificial intelligencegreat ideological and political course constructioneducation digitalizationmedia literacy

张阳、徐业坤

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华东政法大学刑事法学院

华东政法大学马克思主义学院,上海,201620

生成式人工智能 大思政课建设 教育数字化 媒介素养

2023年度上海市哲学社会科学规划课题项目

2023BKS007

2024

大学教育科学
湖南大学 中国机械工业教育协会

大学教育科学

CSSCICHSSCD北大核心
影响因子:0.772
ISSN:1672-0717
年,卷(期):2024.(3)
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