基于Web数据挖掘的高校信息教育质量建模研究

Ruiming Tang, Junping Zou, Shan Chen, Lun Li
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引用次数: 1

摘要

为了弥补传统教学质量模型实用性和有效性差的问题,提出了一种基于Web数据挖掘的高校信息化教学质量研究模型。首先,通过特征获取的方法,对高校教学信息数据进行挖掘,对挖掘数据的特征参数进行评价,划分数据评价等级,并根据不同层次对教学质量进行优化,从而实现对高校信息化教育质量的有效建模研究。实验结果表明,基于Web数据挖掘的高校信息教育质量研究模型比传统模型更具实用性。
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Research on Quality Modeling of Information Education in Colleges and Universities Based on Web Data Mining
In order to remedy the problem of poor practicability and effectiveness of traditional teaching quality model, this paper proposes a research model of information-based education quality in Colleges and Universities Based on Web data mining. Firstly, through the method of feature acquisition, the teaching information data of colleges and universities are mined, and the characteristic parameters of the mining data are evaluated, the data evaluation grades are divided, and the quality of education is optimized according to different levels, so as to realize the effective modeling research on the quality of information-based education in Colleges and universities. The experimental results show that the research model of university information education quality based on Web data mining is more practical than the traditional model.
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