A student behavior prediction method based on an artificial neural network

Abstract

The invention discloses a student behavior prediction method based on an artificial neural network, which is characterized by comprising the following steps of 1 collecting the data, obtaining the student card data, the classroom attendance data and the student achievement data; 2 preprocessing the data for data cleaning, data integration, data selection and data transformation; 3 extracting the behavioral characteristics of the student; 4 generating a sample set of extracted behavioral characteristics of the students, and establishing a behavioral neural network model of the students; 5 according to the importance of students' behavioral characteristics, establishing a decision tree model of students' behavioral characteristics; 6 based on the decision tree model, predicting the students'behavior. The method of the invention collects the behavior characteristics of the students, sorts the behavior characteristics of the students, reduces the characteristics through the neural network, establishes the decision tree model, predicts the behavior of the students, finds the abnormality of the students in time, and supervises the students.

Description

technical field [0001] The invention relates to the field of campus data processing, in particular to a method for predicting student behavior based on an artificial neural network. Background technique [0002] In the current university campus, the school management is still using the traditional student management and service methods, dividing students by major and grade, and adopting a single management method for students; and only managing students' class attendance and exams, other There is no real-time supervision and management of time; and many students have poor self-control, cannot study consciously, and even do not attend classes on time, which eventually leads to poor academic performance, lack of knowledge, and even failure to complete their studies; and the current school management It is still post-management, which only manages when students have problems. It cannot predict the behavior of students in advance and realize the supervision of students. Conten...

AI Technical Summary

Problems solved by technology

[0002] In the current university campus, the school management is still using the traditional student management and service methods, dividing students by major and grade, and adopting a single management method for students; and only managing students' class attendance and exams, other There is no real-time supervision and management of time; and many students have poor self-control, cannot study consciously, and even do not attend classes on time, which eventually leads to poor academic performance, lack of knowledge, and even failure to complete their studies; and the current school management It is still post-management, which only manages when students have problems. It cannot predict the behavior of students in advance and realize the supervision of students.

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