数据挖掘技术在高校教学模型中的应用研究

【作者】 李娟；

【导师】 张宏；

【作者基本信息】 南京理工大学 ， 计算机应用技术， 2009， 硕士

【摘要】 随着高等学校招生规模的不断扩大和信息技术的不断发展,各高校都建立了自己的教学管理信息系统,这些系统很大程度上提高了教学和管理的水平,同时也积累了大量的教学和管理数据。但是目前这些信息系统多半是联机事务处理系统,缺乏综合分析和辅助决策的能力。不能提供对所采集数据进行归类与深层次分析的功能,这使得管理人员在面对复杂情况时不能及时了解相关信息,领导在决策时也没有切实的数据支持。对教学模型进行分析是提高教学质量的重要手段,本文在搜集和阅读了大量有关数据挖掘的论文后,采用数据挖掘技术对教学模型进行多层次、多角度的分析与挖掘,利用挖掘结果辅助教学决策,从而保证教学质量、提高学生素质。本文主要探讨了数据挖掘技术的基本理论和主要算法,研究了数据挖掘中的关联规则和决策树分类算法。运用改进的Apriori算法分析了教师年龄、职称、学历以及学生成绩对教学质量评价的影响;使用了决策树C4.5算法挖掘并分析C语言成绩、教学方法、学生的畏难情绪因素对《数据结构与算法》课程的影响。通过在教学模型中的具体挖掘实践,得到了许多有价值的信息,这些信息在帮助学校更好地进行学生的培养,对学生表现情况的掌握以及课程的教学等方面无疑具有重要的指导意义。更多还原

【Abstract】 With the rapid development of the recruiting students scale of Colleges and Universities and information technology, every university has set up the MIS of educational administration. It has heightened the level of educational management to a great extent, and has accumulated a large amount of data. However, most of the previous teaching management systems are the On-Line Transaction Processing systems that have no ability of synthetic analysis, decision support, and can not analyze deeply and Classify to the data which we collected. So, the manager can not find out the correlative information when they face the complex cases and the leader has no useful data when they decide.Analysis of teaching model is an important way to improve the teaching quality. After reading and analyzing lots of papers about data mining, this paper analyze and mine the data of teaching model multilayered from different angle, which can guarantee the quality of teaching and improve the intrinsic of students.In this thesis, I introduce the fundamental theory and the main algorithms of data mining, research association rule and the methods of decision tree classification in data mining. Through using the improved Apriori algorithm we can analyse the influences of teachers’age, professional posts, educational backgrounds and students’results to teaching quality. Through using the C4.5 decision tree algorithm we can analyse the influences of the results of C language, teaching methods, students’ fear of difficulty to Data Structure and ALGOL.Though the concrete practice in the teaching model, we can obtain many valuable information, which can undoubtedly help school to train students better and grasp students’ situation and the courses’ teaching.更多还原