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学生成绩是反映学校教学水平的第一手资料,这些数据可以为学校改进教育教学提供重要依据。然而,现阶段的学生成绩分析,多数还停留在较为原始的数据库管理和查询阶段,没有对学生的成绩进行横向和纵向的对比研究,也缺乏对各学科成绩之间内在联系的挖掘。为此,学校将数据挖掘技术与学校学生成绩分析管理系统相结合,通过分析和处理系统中大量的学生成绩数据,寻找潜在的规律及模式,促使学校更好地开展教学工作,提高教学质量。
Student achievement is the first-hand information that reflects the teaching level of the school. These data can provide an important basis for schools to improve education and teaching. However, most of the student achievement analysis at the present stage still stays in the original stage of database management and inquiry. There is no horizontal and vertical comparative study of the students’ achievements and there is a lack of excavation of the internal relations among the achievements of the various subjects. To this end, the school will data mining technology and school student performance analysis and management system combined by analyzing and processing a large number of student achievement data in the system, looking for potential laws and patterns to promote the school to better carry out teaching and improve teaching quality.