基于知识分析的数据素养教育模式研究——兼谈素养教育的“文”“质”关系

Research on Data Literacy Education Model Based on Knowledge Analysis——The Relationship between Form and Content of Literacy Education

图书馆开展的数据素养教育在大数据背景下面临着新的困境:"文"与"质"的失衡。文章梳理信息素养教育的理论研究与实践,分析数据素养教育困境产生的原因,在论述嵌入式课程与幕课等过分侧重"文"的教育模式的误区基础上,设计出一种新型的数据素养教育模式。通过案例的方式,阐述该模式的形式与内容,从数据分析与处理开始,以知识图谱的方式来实证数据素养教育的内容与数据分析常用的方法。以质为主,达到文质平衡,为数据素养教育提供一种全新的思路。

In the context of the big data , the data literacy education of library is facing a new dilemma： the relationship between form and content is of the imbalance. After combing the theoretical research and practice of information literacy education, the causes of the plight of the data literacy education are analyzed. On the basis of discussing the misunderstanding of the teaching mode of form in the course of embedded curriculum and MOOC, a new type of data literacy education model is designed. The form and content of the model are described in the way of case, from the beginning of data analysis and processing, the knowledge map is the way to empirical data literacy education. In order to achieve the balance of form and content, provide a new way for data literacy education.