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Based On The Model Of Students' Professional Interests Of The Credit System Of Education System

Posted on:2008-04-26Degree:MasterType:Thesis
Country:ChinaCandidate:H ChenFull Text:PDF
GTID:2207360215492462Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Limited by the knowledge and college entrance examination, many university students are not satisfied to their speciality and hope to rechoose. So, many universities are attempting by each way, including allowing fresh and sophomore to transfer the specialty, set up synthesis classes. Undoubtedly, all students can choose their satisfied speciality one day. Howerver, on one hand, they must know which speciality are they interested before they choose, which they can't find by themselves. On the other hand, Along with the acceleration of education information advancement, the application system of all departments accumulated massive historical data. How reasonably uses these data for decision in the education management is a difficult problem in front of the teaching apartment. The paper try to resolve these problems.he technology of data warehouse and data mining is a method of finding the knowledge hiding in the data. So, the paper provids a solution-analyze the student speciality interest by constructing data warehouse and mining it. First of all, the paper analyzes all kinds of behavior which can show profession interest, including choosing elective, minoring, lending books, browsing the web and downloading and the other behavior. Secondly, the paper analyzes the current data of educational administration system, library administration system. Then, the paper set a prototype mode of student' profession interest by combining the behavior and data. Thirdly, extracting the data of professional courses ,electives, achievement, book circulation, literature visiting and order from the educational administration system and library administration system, designs a data warehouse of student' s profession interesting which is a compositive and analytical environment, attempts to optimize the profession interesting mode by mining the data which use multiple linear regression.The mined knowledge can help supervisors make decision in the management of profession change and reform the education system in the credit system. At the same time, it can help students find their interesting profession and make right choice.
Keywords/Search Tags:Data Warehouse, Data Mining, Analysis of Multiple Linear Regression, Profession Interest, The Interestingness
PDF Full Text Request
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