基于决策树的网络教学系统的学生模型研究  

The Study on the Student Model of Network Teaching System Based on Decision Tree

作　　者：于洋[1] 

机构地区：[1]烟台职业学院信息工程系,山东烟台264670

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

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.

关 键 词：决策树 数据分类 学生模型 网络教学系统 

分 类 号：G434[文化科学—教育学]