大数据教育应用的限度

Limits of Big Data Application in Education

大数据助推教育变革,前景广阔,但并非万能,而是具有一定的边界和限度。对大数据教育应用的限度进行必要的反省,有利于大数据在教育领域的合理运用和发展。本体限度、认识限度、价值限度和伦理限度构成了大数据教育应用中的几个最基本的限度。本体限度是指教育大数据从本体意义上讲并不能等同于真实完整的教育世界;认识限度是指大数据作为认识教育的新视角存在一定的缺陷;价值限度是指教育大数据的工具性价值并不能涵盖教育自身的育人价值;伦理限度是指大数据应用于教育除了受制于技术自身的逻辑外,还必然受到伦理的规限。

The application of big data boosts educational changes with broad prospects,but it is far from being omnipotent,instead it has certain boundaries and limits.It is conducive to the rational application and development of big data in education to attain self-reflections on and insights into the limits of the application of big data in education.Ontological limit,epistemic limit,value limit and ethical limit constitute the basic limits of application of big data in education.The ontological limit means that big data in education cannot be equated with a true and complete educational world in an ontological sense.The epistemic limit refers to the flaw of big data as a new angle of understanding education.The value limit refers to the impossibility of the instrumental value of big data in education to cover the cultivation value of education.Finally,the ethical limit means that the application of big data to education is inevitably bound by ethics,in addition to being controlled by the logic of technology.