Student score early warning method based on data mining

Abstract

The invention discloses a student score early warning method based on data mining. The method comprises the following steps: acquiring and grading score data of graduated students in a school; mining all frequent item sets according with the minimum support count value in the score data by adopting an Apriori algorithm; obtaining all strong association rules by utilizing the frequent item sets; and performing data operation on all cores of students in the school by using the strong association rules, thereby obtaining the prediction and early warning results of the scores. According to the method disclosed by the invention, the academic record data of former students is acquired, and the acquired score data is subjected to data mining and correlation analysis, so that the strong association rules among scores of various subjects are obtained, and the scores of the students in the school are predicted and early warned according to the obtained strong association rules among the scores of various subjects; and therefore, the method disclosed by the invention is capable of timely predicting and early warning the student scores in real time from the objective data, and is objective, reasonable, scientific, high in calculation speed and high in precision.

Description

technical field [0001] The invention specifically relates to a data mining-based online student achievement early warning method. Background technique [0002] With the development of economy and technology and the improvement of people's living standards, education has become one of the most concerned areas, and the country's investment in education is also increasing year by year. Therefore, more and more people walk into Qingqing campus and start their student life. [0003] There is no doubt that the primary task of school students is to study. But now the advanced technology makes people have more and more entertainment methods, various entertainment equipment emerges in an endless stream, and the entertainment methods are also changing with each passing day, which makes many students drop their studies and indulge in it. [0004] At present, the feedback on students' learning status in school is generally judged and given by teachers through the students' learning st...

AI Technical Summary

Problems solved by technology

In many cases, teachers are unable to obtain or ignore students' learning status in time due to their busy teaching affairs, and only think of intervening after students fail in exams or academic performance.

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