基于数据挖掘技术的学生电子档案袋评价

E-learning Portfolio Assessment Based on Data-Mining

以鞍山师范学院数字电子技术实验课为研究对象,利用数据挖掘技术确定学生评价量规属性权重,用人工神经网络模型检测学生教学目标的掌握情况,用聚类分析实现学习效果分类和教学目标关系判断,从而实现了对学生学习行为的评价,并对课程体系中教学目标之间的关系进行了分析.

This paper integrated E-learning portfolio into the course,using some methods in data-mining tools,such as Rough set assessment,BP neural network and K-means algorithm clustering to realize E-learning portfolio rubric weight,the master statue of education objection,the classification of study effect and the judgment of the education objections relationship.In order to achieve the assessment of study behavior and the decision of education objections.