采用多种数据挖掘算法建构现代学徒制课程体系的组织结构,解决将职业教育的课程装进"学科体系"架构之中被"强制性"序化的问题,改变将复杂多变的内容主观机械地套入既定的课程结构模式的常见做法.用关联规则算法分析课程前导后续的关联关系,用序列模式算法分析课程开设学期的序列关联关系,定义课程序列结构、内容和加权相似性的度量方法,提出基于全局中心的序列相似性距离乘积最大法来改进K均值聚类算法,并生成现代学徒制课程体系结构.
Using multiple data mining algorithms to construct the organizational structure of curriculum system in modem apprenticeship, it aims to solve the problem of "compulsory" ordering in the curriculum of vocational education into the framework of the discipline system, and to change common practice of the complex and relation of courses offered by sequence pattern, defining a method of similarity measurement for the sequence structure, content and weighted similarity of courses, presenting a method of improving the K-means clustering algorithm for the sequence similarity distance product maximum based on the global center, and generating curriculum system construction in modern apprenticeship.