Planning method for learning and planning system for learning with automatic mechanism of generating personalized learning path

Abstract

The present disclosure provides a planning method for learning applied to a planning system for learning, and the planning system for learning includes a storage, a monitor and a processor. The planning method for learning includes the following steps: recording learning information of a plurality of subjects and storing the learning information in the storage via the monitor; calculating weighting parameters of the subjects according to the learning information and calculating weighting scores of the subjects according to the weighting parameters via the processor; and performing a fuzzy process to the weighting scores via the processor to transform the weighting scores into score levels of the subjects, so as to establish a learning sequence of the subjects to establish a learning plan.The disclosed planning method for learning and the disclosed planning system for learning can provide adaptive learning planning service for different users according to the learning information so asto improve the user experience of the learning system, and can lower the operation complexity of the planning system for learning through the fuzzy process.

Description

technical field [0001] This case is about a data processing method and data processing system, especially about a learning planning method and learning planning system. Background technique [0002] With the rapid development of automation technology, automated planning systems are widely used in human life and play an increasingly important role. For example, the learning planning system can automatically provide users with learning planning services. However, the current learning planning system mainly divides different users into several categories according to the personal information of the users, and then provides corresponding learning planning services according to the categories corresponding to the users. In other words, the current learning planning system does not provide adaptive learning planning services for different users, which may reduce the user's quality of experience with the learning planning system. Although the practice of providing learning planni...

AI Technical Summary

Problems solved by technology

Although the practice of providing learning planning services by analyzing each user's personal information separately can effectively improve the user's quality of experience with the learning planning system, this approach may greatly increase the operational complexity of the learning planning system

[0003] Therefore, how to effectively improve the user experience quality of the learning planning system without increasing the operational complexity of the learning planning system to design the learning planning method and learning planning system is a big challenge.

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