A multi-layer organization and representation method of learning resources in online education system

Abstract

The invention provides a learning resource multilayer organization and expression method for an online education system, and the method comprises the steps: constructing a knowledge network accordingto the subject syllabus, subject knowledge and compound learning materials; forming a mapping relation between the knowledge points of the knowledge network and the compound learning materials; extracting the knowledge points of the compound learning materials, and enabling each part of compound learning materials to be associated with the knowledge points in a contained 3D knowledge map, therebyachieving the mapping relation between the compound learning materials and the knowledge elements; constructing extended learning resources for the knowledge elements, so as to provide more in-depth and more expansive explanation for the knowledge elements; building a quantitative model, quantifying the extended learning resources associated with the knowledge points according to a quantitative model, and sorting the extended learning resources under the same knowledge point according to the quantification result. The method achieves the arrangement of the learning resources based on knowledgenetwork, improves the availability of resources, optimizes and supports a learning process of a learner, strengthens the learning effect, and improves the learning efficiency.

Description

technical field [0001] The present invention relates to the field of online learning and network teaching, and more specifically, relates to a multi-layer organization and representation method of learning resources in an online education system based on a knowledge network. Background technique [0002] With the development of mobile Internet, the online education system based on artificial intelligence organically combines traditional education and mobile Internet, gathers high-quality teaching resources, provides diversified content, records students' personalized learning situation, and recommends the most suitable for students' personality based on artificial intelligence algorithm Learning paths and learning resources that adapt to learning needs can effectively solve the problem of unequal educational opportunities. Using this knowledge network-based online education system, learners can break through time and space constraints, acquire knowledge flexibly, learn in fr...

AI Technical Summary

Problems solved by technology

[0004] Traditional education and traditional online education platforms often simply classify and upload resources to the platform, and there are the following problems: (1) The resources are single and often provided by the platform operator; (2) The resource organization and representation are simple, and the resource service goals are not clear Clear and simple evaluation of resource quality; (3) The division of labor between resource providers and platform operators is unclear, failing to fully gather high-quality teaching resources; (4) The platform fails to provide an effective expression mechanism to support users to use according to their role needs High-quality targeted teaching resources; (5) Lack of an effective ranking mechanism tailored to user needs, causing users to often rely on themselves to distinguish the pros and cons of learning resources, resulting in low learning efficiency and slow learning progress

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