On-line education system and method of mobile Internet

Abstract

The invention relates to the field of on-line education, particularly to an on-line education system of the mobile Internet. The on-line education system comprises a cloud storage end, a client, a data structuralization unit, a personalized recommendation unit and a learning evaluation unit, wherein the cloud storage end is used for providing cloud storage of massive data and achieving data storage and backup; the client is used for uploading or downloading corresponding data; the data structuralization unit is used for classifying and converting learning data in the data into examinable learning data with fine grain; the personalized recommendation unit is used for carrying out official customization or personalized customization on multiple curriculum templates by users according to the learning data; and the learning evaluation unit evaluates learning conditions of learners according to the data acquired in practice evaluation, test evaluation and learning processes. The embodiment also relates to an on-line education method of the mobile Internet. According to the invention, mass data storage schemes are provided; lecture notes and practices are automatically converted into examinable ones with fine grain, thereby forming evaluable data and improving propriety, efficiency and convenience degree of on-line 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.

Images