摘要
基于遗传算法与决策树思想相结合的方法,对学生的学习历史、方式,知识情况,认知能力等要素进行数据分析和分类,将学生模型分为偏差模型、覆盖模型、心理模型和认知模型.为用户提供了个性化的教学环境.
The improved genetic algorithms with decision tree and its application are adopted to analyze and classify the learner＇s knowledge state, style of learning, history of learning and cognitive ability. The student model can be divided into four categories, i. e. deviation model, coverage model, mental model and cognitive model,which can provide a personalized learning circumstance for learners.
出处
《鲁东大学学报（自然科学版）》
2013年第1期32-34,37,共4页
Journal of Ludong University:Natural Science Edition
关键词
决策树
数据分类
学生模型
网络教学系统
decision tree
data classification
student model
network teaching system
