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    智能教育的算法技术规训困境与出路

    The Dilemma and Outlet of Algorithmic Technology Discipline in Intelligent Education

【作      者】:

孔 苏


【关 键 词 】:

智能教育; 算法分析; 技术规训; 教师智慧; 教育价值观


【栏      目】:

理论探讨


【中文摘要】:

人工智能与教育的结合,简称智能教育,是现代教育发展的未来方向。智能教育以算法技术为核心,在强大计算力和精密程序设计下,体现出超出人类一般的教育能力。但是,算法技术规训困境也随之而来,主要表现为数据依赖、算法偏见和强制的分析结果等。算法技术规训困境的产生主要源自对算法技术实践的信任,对教育(学)理论的忽视,缺乏以教师为主体的教育经验与实践智慧的介入,资本力量的隐蔽控制。突破这一困境的做法包括:基于以人为本的教育价值观引导智能教育的算法设计;人类教师理解并协同机器教师共同育人;坚守教育者初心使命,反对伪科学和唯科学教育产品。


【英文摘要】:

The combination of artificial intelligence and education, referred to as intelligent education, is the future direction of the development of modern education. The core of intelligent education is algorithmic technology. Under the powerful computing power and the design of precision program, Intelligent education shows the educational ability beyond the ordinary human. However, the dilemma of algorithmic technology discipline also comes, which is mainly manifested as data dependence, algorithmic bias and forced analysis results. The dilemma of algorithmic technology discipline mainly stems from the trust in the practice of algorithmic technology, the neglect of education (learning) theory, the lack of the intervention of teacher-oriented educational experience and practical wisdom, and the hidden control of capital power. The following ways are suggested to be used to break through this dilemma. The algorithmic design of intelligent education can be guided by human-oriented educational values. Human teachers try to understand and cooperate with machine teachers to coeducate people. And it is necessary to adhere to the initial l mission of educators, and oppose pseudoscience and only science educational products.

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