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    生成式人工智能重塑高等教育形态: 内容、案例与路径

    Generative Artificial Intelligence Reshaping the Higher Education: Contents, Cases and Pathways

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【作      者】:

刘 明, 郭 烁, 吴忠明, 廖 剑


【关 键 词 】:

生成式人工智能; 高等教育; 教育形态; 系统性文献综述; 人机协同


【栏      目】:

教育数字化


【中文摘要】:

生成式人工智能产生的强大推动力逼促高等教育形态重塑。基于对国内外38篇高质量期刊文献的系统性分析,发现生成式人工智能从“三层面十维度”重塑高等教育形态,包括:以课堂教学、课外实践、在线学习为代表的教育场景,以教学目标、教学资源、教学模式和教学评价为闭环的教学流程,以学生核心素养、教师数字素养和管理者智能化领导力为核心的“人”的思维范式。立足三类教育场景,系统梳理典型实践案例,结合系统性分析框架剖析案例特征,总结个性与普适性规律,从创新数字治理政策、推动评价变革、提升教师人机协同教学与科研能力、推动多元化主体协同共建四方面提出应对策略,为推动高等教育数字化转型、建设高等教育强国提供理论与实践参考。


【英文摘要】:

The powerful impetus generated by generative artificial intelligence (GAI) is forcing the reshaping of the form of higher education. Based on a systematic analysis of 38 high-quality journal literature at home and abroad, GAI reshapes the form of higher education from "three levels and ten dimensions", including educational scenarios represented by classroom teaching, extracurricular practice and online learning, the teaching process with teaching objectives, teaching resources, teaching modes and teaching evaluation as a closed loop, and the "human" thinking paradigm with students' core literacy, teachers' digital literacy and administrators' intelligent leadership as the core. Based on the three types of educational scenarios, the study systematically sorts out the typical practice cases, analyzes the characteristics of the cases with the systematic analysis framework, and summarizes the laws of individuality and universality. The study puts forward the corresponding strategies from four aspects: innovating the digital governance policies, promoting the evaluation reform, improving teachers' human-machine collaborative teaching and scientific research abilities, and promoting the collaborative construction of diversified subjects. This provides theoretical and practical references for promoting the digital transformation of higher education and building a powerful country in higher education.

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