Mathematical subject step-by-step demonstration method and computer system suitable for self-adaptive learning

Abstract

The invention relates to a mathematical subject step-by-step demonstration method suitable and a and computer system suitable for self-adaptive learning, which comprises the following steps of: carrying out knowledge point matching processing conducting knowledge points matching and processing according to the received user's learning level information and pushing corresponding learning questions;monitoring whether or not receive the feedback information in real time and processing according to different feedback information, specifically: when receiving a first feedback information, carryingout an answer matching processing and generating and displaying a question analysis; when receiving a second feedback information, generating and displaying prompt information; when receiving a thirdfeedback information,displaying a problem solving step of the learning problem, and each time of receiving the third feedback, displaying only one solution step in sequence until all the solution steps are displayed; and when receiving a fourth feedback information, generating and displaying a reference answer information. Compared with the prior art, the invention has the advantages of effectively improving the learning efficiency of the user and the like.

Description

technical field [0001] The invention belongs to the technical field of online education, and relates to a learning device, in particular to a step-by-step display method and computer system for mathematics subjects suitable for self-adaptive learning. Background technique [0002] The core of the adaptive learning system is the adaptive learning engine, which continuously pushes learning content suitable for the learning level of student users. The learning resources that the current adaptive learning engine can push include teaching videos, learning materials, learning test questions and test question analysis, etc. At present, this kind of adaptive system engine has been applied, but the current adaptive learning system teaching video and learning questions are connected through knowledge points, and the basic interactive interface with student users is usually questions and answers and test question analysis, and learning users The process is not directly related when so...

AI Technical Summary

Problems solved by technology

[0003] 1) After listening to lectures on knowledge points video, still unable to solve math problems independently

The engine will push teaching videos suitable for their learning level for student users. However, the teaching videos pre-recorded by teachers cannot meet the problem-solving needs of student users. Difficulties are often encountered when actually solving mathematical problems, which requires a lot of manpower and time

[0004] 2) It is difficult for student users to extract mathematical thinking from the analysis of wrong questions

The engine will push learning test questions suitable for their learning level for students. Teachers will write test analysis in advance to help students understand the standardized problem-solving methods. However, it is difficult to analyze the reasons for each student's mistakes in the test test analysis written in advance by teachers. , even if the student user understands the mistakes made in solving the test question, it is difficult to extract mathematical thinking at a higher cognitive level from the limited ability of the student user, and the existing method is not intuitive enough

[0005] 3) Lack of cultivation of active learning

The self-adaptive learning system is a passive learning method, from listening to the knowledge point video to practicing the exercises, and then watching the analysis of the test questions. Student users are likely to experience the frustration of correcting mistakes during this learning process. , there is a lack of a mechanism that can play the active learning of students and users in the learning process, and the learning efficiency is low

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