Learner-centered adaptive learning system

An adaptive learning and learner technology, applied in the field of adaptive learning, can solve problems such as time-consuming, the adaptive engine cannot achieve self-adaptation, and cannot support the construction of knowledge models in open fields, and achieves the effect of strong system interactivity

CN111445362APending Publication Date: 2020-07-24河南云劭博教育科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2020-07-24

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Abstract

The invention relates to the technical field of self-adaptive learning, and discloses a learner-centered self-adaptive learning system, which comprises an infrastructure support layer, a data resourcelayer, a core service layer and a visual presentation layer, wherein the infrastructure support layer is used for providing a development and operation environment, computing and storage resources and a data acquisition interface for the system; the data resource layer is used for providing data support and data archiving management service for the adaptive learning core business; the core business layer is used for realizing core business of adaptive learning; and the visual presentation layer is used for providing an input interface and output presentation for the system, providing visual interface service for self-adaptive teaching data retrieval and operation for a user and providing an operation and maintenance management service interface for system management. Students can be helped to construct a knowledge structure of the system, and learning efficiency is improved; teaching data service and teaching participation means are provided for teachers; and automatic generation anddigital asset conversion services of the domain knowledge model are provided for learning content service providers.
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Description

technical field

[0001] The invention relates to the field of self-adaptive learning technology, more specifically, it relates to a learner-centered self-adaptive learning system. Background technique

[0002] Adaptive learning aims to provide different learners with adaptive learning content and learning paths, so as to achieve the purpose of personalized learning. Peter Brusilovsky, an information scientist at the University of Pittsburgh in the United States, first proposed the concept of adaptive learning in 1996, and proposed a general model of an adaptive learning system, which mainly includes domain knowledge model, learner model, teaching model, adaptive engine and interface model .

[0003] Through the investigation and analysis of domestic and foreign research status and self-adaptive products, the following points are summarized as follows: (1) The construction of domain knowledge models is mostly based on the school’s curriculum outline and experts’ knowledge. T...

Examples

Embodiment 1

[0102] Such as figure 1 As shown, this embodiment provides a learner-centered adaptive learning system, which is characterized in that it includes: an infrastructure support layer 1, a data resource layer 2, a core business layer 3, and a visual presentation layer 4;

[0103] The infrastructure support layer 1 is used to provide the system with a development and operation environment, computing and storage resources, and a data collection interface;

[0104] Wherein, the development and operation environment is specifically an environment including an expandable development environment based on the Paas platform, a hosting service environment, and a service management environment; the computing and storage resources are specifically elastic and scalable, according to Computing and storage resources to be applied; the data collection interface, specifically, providing a data collection interface for the establishment of models in the core business layer of the system.

[0105]...

Embodiment 2

[0115] Such as figure 2 As shown, based on the system in Embodiment 1, this embodiment provides a specific embodiment of the technical route of the present invention.

[0116] The present invention relates to following several key technologies:

[0117] (1) Knowledge map construction method of domain knowledge model

[0118] The domain knowledge model uses the knowledge map to represent the knowledge structure of the subject area. The specific construction steps are:

[0119]S311: Extracting domain knowledge element entities and constructing domain knowledge models, wherein, the domain knowledge element entities include subject, course, learning object and other element entities; discipline consists of three types: first-level knowledge points, second-level knowledge points and knowledge points Domain knowledge elements are composed to form a top-down hierarchical relationship. According to different textbooks of the same subject, the definition course is composed of three...