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ICAI系统中数据挖掘研究 被引量：3

The Study of Data Mining in ICAI System
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摘要 学生在学习过程中未达到学习目标,说明存在知识缺陷,如何智能性重构学习路径弥补知识缺陷是ICAI的关键技术I。CAI有其本身的规律及特点,利用数据挖掘算法,能较好提高ICAI的因材施教的能力。本文通过分析研究挖掘算法,提出在目标测评ICAI系统中挖掘算法的合理实现方法。 When students cannot achieve aims during the process of study, it means there exists knowledge defect. It is the key technology of ICAI on how to make up the reconstructing study path intellectually. ICAI possesses its rules and characteristics, which with the method of data excavation can improve the ability of teaching students in accordance with their aptitude. This article, based on the data excavation method, comes up with a reasonable realizing solution in the ICAI system of aiming-test.
作者 应武
机构地区 金华职业技术学院
出处 《金华职业技术学院学报》 2007年第2期48-50,共3页 Journal of Jinhua Polytechnic
基金 浙江省教育科学规划资助项目(SCI55)
关键词 ICAI 数据挖掘 关联规则 方法 ICAI Data Mining Association Rule Method
分类号 TP399 [自动化与计算机技术—计算机应用技术]
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共引文献58

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金华职业技术学院学报
2007年 第2期

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