Automatic generation method and system based on personalized learning process of mapping knowledge domains

Abstract

The invention discloses an automatic generation method and system based on personalized learning process of mapping knowledge domains. The method includes: on the basis of personalized mapping knowledge domains described by a directed hypergraph, utilizing a relation between knowledge elements and learning activities, and automatically generating corresponding learning process frames according to personalized characteristics like learning performance targets, learning capability, learning habits and learning modes of learners; on the frames, automatically generating all possible supporting resources of activities according to characteristics of the learners, the knowledge elements learned by the activities and activity type; utilizing relation among learning resources, the learners and learning activity attributes, relation between the activity attributes and process attributes and the personalized objects of the learners for optimization of process structure and learning resources to generate optimized learning process. By the method, huge personalized learning process can be generated automatically; the method is used for optimizing the learning process structure and the learning resources according to specific conditions of the learners, and learning is analyzed and optimized globally. In addition, the automatic generation method and system is a foundation for formulating further personalized learning schemes.

Description

technical field [0001] The invention relates to the field of information and network technology, in particular to a method and system for automatically generating a personalized learning process based on a knowledge map. Background technique [0002] With the development of computer, network and other technologies and the increasing abundance of electronic teaching resources, the teaching process is undergoing tremendous changes. It is shifting from the traditional teaching process dominated by teachers to a student-centered and student-active learning-oriented teaching process. Master's teaching process. In order to achieve the goal of giving full play to the advantages of the new teaching process supported by the new teaching technology and preventing students from getting lost in the learning process, it is necessary to solve: "How to learn according to the specific situation of the learner and the resource environment in which they are located?" situation, from a long-t...

AI Technical Summary

Problems solved by technology

Although some scholars have applied data mining and other methods to realize the automatic modeling of the learning process, due to the complexity and variability of the learning itself and the limitations of the methods used, the above methods can only realize the automatic modeling of the local process.

[0005] It is precisely because of the above-mentioned problems in the modeling of personalized learning process that it limits the analysis and optimization of the learning process based on e-learning, so that its superiority cannot be fully reflected

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