Thinking mathematics learning method based on capability grading and computer learning system

Abstract

The invention relates to a thinking mathematics learning method based on capability grading and a computer learning system. The learning method comprises the steps of obtaining the thinking mathematics portrait information of a student user; taking the thinking mathematics portrait information subjected to discretization processing as the input of a classifier to obtain the grade information corresponding to the student user; based on the grade information and the knowledge point learning model of the current class hour, obtaining the screening information of the student user for each knowledge point in the current class hour; and pushing the learning contents based on the screening information. Compared with the prior art, the method has the advantages of being beneficial to learning efficiency and the like.

Description

technical field [0001] The invention relates to an online learning device, in particular to an ability-graded thinking mathematics learning method and a computer learning system. Background technique [0002] In the current learning environment, parents often ask their children to learn thinking mathematics, but the effect is often very poor. The traditional way of learning is to sign up for offline classes and learn from real teachers. With the rise of online education, many students will choose to sign up for courses online and learn by watching videos and doing questions. By registering for classes on the Internet, students and parents can save a lot of time and allow educational resources to be allocated more reasonably. Later, the form of double-teacher classrooms appeared, that is, famous teachers in the video explain, and at the same time there is a class teacher who can urge students to complete homework and answer students' questions, which has improved the comple...

AI Technical Summary

Problems solved by technology

[0004] 1. Without considering the acceptance level of students and their learning goals, students may not be able to learn the knowledge points through stereotyped explanations, and the fixed exercises may not be able to meet the students' level

[0005] 2. There are many knowledge points in thinking mathematics that are not suitable for ordinary students, but the system will still allow students to learn this part of knowledge points, which will make students feel frustrated and difficult to improve learning efficiency

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