Prediction analysis algorithm based on knowledge point mastering conditions of student learning data

Abstract

The invention provides a prediction analysis algorithm for knowledge point mastering conditions based on student learning data, and relates to the technical field of data prediction. The prediction analysis algorithm for the knowledge point mastering situation based on the student learning data comprises the following specific steps: S1, based on a search method for shielding irrelevant contents,collecting learning data about students based on a Cerea algorithm; S2, establishing a student learning database, storing the data in a classified manner according to features, and detecting and updating the classified features; and S3, generating a student simulation question bank based on the database, and testing the simulation question bank. According to the invention, the simulation questionbank can be effectively controlled; comprehensive automatic analysis is carried out on the simulation condition of the students; and the prediction analysis algorithm is advantaged in that the studentknowledge mastery degree can be rapidly and effectively acquired, the student mastery condition is predicted according to the student knowledge mastery degree, prediction validity and accuracy are guaranteed, interference of repeated data on the prediction result is avoided, and student learning efficiency and the learning effect are substantially improved.

Description

technical field [0001] The invention relates to the technical field of data prediction, in particular to a prediction analysis algorithm based on knowledge points mastered by students' learning data. Background technique [0002] At present, in traditional teaching, teachers generally check students' learning effects in homework and exams. In homework and exams, teachers can have a general understanding of students' knowledge mastery based on students' answers, but it is difficult to The mastery of knowledge is fully counted, and usually teachers will test the learning effects of different students through unified homework and exams, and cannot provide students with personalized testing and evaluation. Contents of the invention [0003] (1) Solved technical problems [0004] Aiming at the deficiencies of the prior art, the present invention provides a predictive analysis algorithm based on knowledge points mastered by students' learning data, which solves the defects and ...

AI Technical Summary

Problems solved by technology

[0002] At present, in traditional teaching, teachers generally check students' learning effects in homework and exams. In homework and exams, teachers can have a general understanding of students' knowledge mastery based on students' answers, but it is difficult to The mastery of knowledge is fully counted, and usually teachers will test the learning effects of different students through unified homework and exams, and cannot provide students with personalized testing and evaluation

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