Method for optimizing personalized learning resources based on integrated modeling

Abstract

The invention discloses a method for optimizing personalized learning resources based on integrated modeling. The method is modeled by multi-view integrated learning based on knowledge points and centered on the process, recommends a corresponding learning process according to a learning objective, and establishes a dynamic mapping among a learner, the learning process and the resource environment according to the actual background knowledge of the learner so as to obtain the hypergraph-described learning process and possible service resource states for the learner; on this basis, the method performs structural transformation on a process model, extracts a learning activity sequence (LAS), utilizes the relationship among the learner, the learning resources and the learning process attributes, and optimizes the learning process so as to obtain a learning plan with optimized process and resources. The method is capable of providing a relatively optimized learning sequence and a combined service resource according to the objective, the knowledge background and the resource environment of the learner, and performing dynamic adjustment according to the change of resources and objective.

Description

technical field [0001] The invention relates to the field of information and network technology, in particular to a method and system for optimizing teaching resource allocation driven by a directed hypergraph process. Background technique [0002] With the development and popularization of the Internet, Internet communication activities are becoming more and more frequent. As an alternative to traditional face-to-face learning, distance learning can share teaching resources, and can learn anytime and anywhere without time and geographical restrictions, bringing great benefits to people. Great convenience. [0003] Network teaching is carried out around learning activities. The progress of learning activities, that is, the learning process is dynamically changing, and the knowledge mastered by learners is also updating and changing during the learning process. Therefore, the teaching resources required at different stages are also different. Although the online teaching res...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to propose a process-driven personalized resource based on integrated modeling for the current situation of excessive and dynamic network teaching resources and the defect that the learning process cannot be optimized according to the learner's dynamic goals and knowledge background. Optimization method, which models the learning process with a directed hypergraph, uses the properties of the hypergraph to form a learning path, supports the optimization of the learning process considering the learner's own level, and recommends learning that meets his needs to the learner resources, so as to realize resource optimization for the learning process

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