On-line education system and method of mobile Internet

Abstract

The present invention relates to the field of online education, in particular to an online education system for the mobile Internet, comprising: the cloud storage terminal is used to provide cloud storage for massive data to realize data storage and backup; the client is used to upload or download corresponding data ; The material structuring unit is used to classify the learning materials in the data and convert them into fine-grained assessments; the personalized recommendation unit customizes several course templates according to the official learning materials or user customization; the learning evaluation unit evaluates according to the practice , test evaluation, and data collected during the learning process to evaluate the learning situation of students. It also relates to an online education method of the mobile Internet. The present invention provides a massive data storage scheme, and automatically converts lecture notes and exercises into fine-grained and assessable data, thereby improving the scientificity, efficiency and convenience of online education.

Description

technical field [0001] The invention relates to the field of online education, in particular to a mobile Internet online education system and method. Background technique [0002] The existing education is divided into four types, which are: 1. Passive education. The existing interactive mode continues the education mode of the industrial revolution hundreds of years ago. All students are divided according to age, and the curriculum and teaching progress are unified, so as to receive education passively; 2. 1. Humanized education. The humanized demand for learning content and curriculum has become a development trend. Personalized learning content and curriculum are arranged according to individual learning progress and mastery of knowledge points; 3. Lack of a scientific evaluation system. Examination and test mode can not test the real level of knowledge mastered by students very well, but they are arranged according to a unified schedule; 4. Fragmented learning needs, adu...

AI Technical Summary

Problems solved by technology

[0006] 1. Data collection in the learning process is a difficult problem, and the existing teaching mode cannot achieve data collection;

[0007] 2. The degree of mastery of knowledge points cannot be scientifically evaluated only through test papers and test questions;

[0008] 3. The learning progress of each student is inconsistent, and the degree of mastery of knowledge points is different, and it is unreasonable to adopt a unified class schedule;

[0009] 4. It is impossible to predict the pass rate for students who have completed a course;

[0010] 5. It is difficult for adults to devote full time to study, and the time allocation is fragmented;

[0011] 6. There is a lot of room for optimization in the existing processes of signing in, paper practice, payment and registration, etc.

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