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An Analysis of Degree Curricula through Mining Student Records

机译:通过对学生记录的挖掘来分析学位课程

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Higher Education Institutions store a sizable amount of data, including student records and the structure of a degree curriculum. This paper focuses on the problem of identifying how closely students follow the recommended order of the courses in a degree curriculum, and to what extent their performance is affected by the order they actually adopt. It addresses this problem by applying techniques to mine frequent itemsets to student records. The paper illustrates the application of the techniques for a case study involving over 60,000 student records in two undergraduate degrees at a Brazilian University.
机译:高等教育机构存储大量数据,包括学生记录和学位课程的结构。本文关注的问题是确定学生在学位课程中遵循建议课程顺序的紧密程度,以及他们的表现在多大程度上受到他们实际采用的顺序的影响。它通过应用技术将频繁的项目集挖掘到学生记录中来解决此问题。本文说明了该技术在案例研究中的应用,该案例涉及巴西大学两个本科学位中的60,000多条学生记录。

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