System for unloading learning data according to dynamic change of learning effect of users and method thereof

Abstract

The invention relates to a method for unloading learning data according to dynamic change of learning effect of users, which is used by a user terminal learning device for obtaining stage learning data which varies with the changes of the learning effects of the users according to the learning effect of users. The user terminal device can generate a learning record log, and records the response records of test papers according to time sequence. A system can calculate the learning curve based on the response records of test papers, compares the learning curve with a plurality of learning reference models, and selects a learning reference model which is closest to the learning curve, thereby determining the learning effect of users. Finally, the stage learning data which accords with the learning curve can be found out through the comparison results of the learning curve and the learning reference models, and is supplied to the users, thereby unloading the learning data with the dynamic changes of the learning effect.

Description

technical field [0001] The invention relates to a digital learning system and method, in particular to a system and a method for dynamically changing and downloading learning data according to user learning effects. Background technique [0002] After the digital learning product executes the program through the electronic device, it loads the learning content in the database or data file, and interacts with the user. The aforementioned electronic device can be an electronic dictionary, an electronic learning machine (simple computer), a personal computer, a personal digital assistant, or a smart phone. The biggest difference between digital learning products and traditional print books or audio-visual audio-visual learning products is that digital learning products provide a complete user interface, allowing users to quickly query data, download new supplementary learning data, and perform various types of learning. test. Although traditional graphic books or audio-visual...

AI Technical Summary

Problems solved by technology

[0005] In addition, the supplementary learning data and learning assessment tests provided by the manufacturer must be judged by the user whether they need to download

As a result, users are often unable to find the supplementary data that really meets their needs in a large amount of supplementary data

For example, the downloaded supplementary data is too advanced for the user to bridge the previous learning progress

It is also possible that the downloaded supplementary data is already fully understood by the user, which wastes the user's time

[0006] At the same time, the supplementary data provided by manufacturers often indicate the direction of supplementary data collection planning through the suggestions of a few experts, or the opinions of a very small number of users who are willing to give feedback through traditional mailing methods. These opinions do not come from the majority users, making these supplementary data cannot really meet the needs of most users

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