CN-122019805-A - Virtual teaching scene construction method and device

CN122019805ACN 122019805 ACN122019805 ACN 122019805ACN-122019805-A

Abstract

The application discloses a virtual teaching scene construction method and device, relates to the technical field of digital education, and mainly aims to accurately match knowledge points to a virtual teaching scene conforming to course standards. The method comprises the steps of constructing a resource library required by virtual teaching based on a spatial information library and a multimedia database, classifying contents in the resource library in a multi-dimensional mode according to a preset spatial distribution type set, a data type set and a scene type set, constructing a first mapping relation and a second mapping relation of the spatial distribution type set and the data type set and the scene type set respectively, extracting knowledge points required by the virtual teaching based on teaching texts, determining a target data type and a target scene type of each knowledge point by utilizing the first mapping relation and the second mapping relation, constructing a virtual teaching scene corresponding to each knowledge point in a three-dimensional virtual earth platform based on the target data type and the target scene type, and performing visual processing on the virtual teaching scene.

Inventors

ZHANG BO
ZHOU SHUFANG
LI YINGHAN
CAO XIN
WANG RUIZHAO
JI ZHONGKUI

Assignees

二十一世纪空间技术应用股份有限公司

Dates

Publication Date: 20260512
Application Date: 20251231

Claims (10)

1. The method for constructing the virtual teaching scene is characterized by comprising the following steps: Constructing a resource library required by virtual teaching based on the spatial information library and the multimedia database; According to a preset spatial distribution type set, a data type set and a scene type set, carrying out multidimensional classification on the content in the resource library, and constructing a first mapping relation and a second mapping relation between the spatial distribution type set and the data type set and the scene type set respectively; Based on teaching texts, extracting knowledge points required by virtual teaching, wherein one knowledge point corresponds to one target space distribution type in the space distribution type set; respectively determining a target data type and a target scene type of each knowledge point by utilizing the first mapping relation and the second mapping relation; based on the target data type and the target scene type, constructing a virtual teaching scene corresponding to each knowledge point in a three-dimensional virtual earth platform, and performing visualization processing on the virtual teaching scene, wherein the virtual teaching scene is used for representing scene content corresponding to the target scene type in the three-dimensional virtual earth platform based on the expression characteristics corresponding to the target data type.
2. The method of claim 1, wherein classifying the content in the repository in multiple dimensions according to a set of preset spatial distribution types, a set of data types, and a set of scene types, comprises: Classifying corresponding content into the spatial distribution type set based on a spatial scale level and a property attribute of a geographic entity in the resource library, wherein the spatial scale level is divided into a universe level, a planetary level, a global partition level, a regional level, a country level, a province level, a local level and a local level according to a human cognition rule from large to small, and the property attribute comprises a natural morphology class and an artificial engineering class; Classifying corresponding contents into the data type set based on expression characteristics corresponding to different data types in the resource library, wherein the expression characteristics comprise an accurate positioning class, a real presentation class, an immersion experience class, a dynamic simulation class and a supplementary explanation class; Based on the scene content in the resource library, classifying the corresponding content into the scene type set, wherein the scene content comprises a natural resource class, a human activity class, a phenomenon and cause class and a value meaning class.
3. The method of claim 1, wherein constructing a first mapping relationship and a second mapping relationship between the set of spatial distribution types and the set of data types and the set of scene types, respectively, comprises: Establishing a corresponding relation between each space distribution type and at least one data type in the data type set based on space scale characteristics, data expression requirements and teaching difficulty requirements of a target teaching stage corresponding to each sub-category in the space distribution type set to obtain the first mapping relation, wherein the space scale level is a data type of the accurate positioning class, the dynamic simulation class and the supplementary explanation class corresponding to the sub-category of the universe level, and the space scale level is a local level and corresponds to the real presentation class, the immersion experience class, the dynamic simulation class and the supplementary explanation class corresponding to the sub-category belonging to the artificial engineering class; Based on the main right attribute, the human activity relevance and the course standard requirement of the target teaching stage corresponding to each sub-category in the space distribution type set, establishing a corresponding relation between each space distribution type and at least one scene type in the scene type set to obtain the second mapping relation, wherein the main right sub-category corresponds to the scene type of the natural resource type, the human activity type, the phenomenon and the cause type, and the sub-category associated with no human activity corresponds to the phenomenon and the cause type and the scene type of the value meaning type.
4. The method of claim 1, wherein extracting knowledge points required for virtual teaching based on teaching text comprises: Extracting the knowledge points containing spatial attributes according to a knowledge system and a teaching target of the teaching text, wherein the spatial attributes comprise a geographic entity spatial range, natural/artificial properties and teaching association scenes corresponding to the knowledge points; and matching each extracted knowledge point with a sub-category in the spatial distribution type set, and determining the unique corresponding target spatial distribution type based on the spatial scale level of the knowledge point and the property attribute.
5. A method according to claim 1 or 3, wherein determining the target data type and the target scene type for each knowledge point using the first mapping relationship and the second mapping relationship, respectively, comprises: Matching at least one data type in the data type set according to the target space distribution type corresponding to the knowledge point by utilizing the first mapping relation to obtain the adapted at least one data type as the target data type of the knowledge point; And matching at least one scene type in the scene type set according to the target space distribution type corresponding to the knowledge point by utilizing the second mapping relation to obtain the matched at least one scene type as the target scene type of the knowledge point.
6. The method of claim 5, wherein the method further comprises: And if the knowledge points have personalized teaching requirements, expanding the data type set or other subcategories in the scene type set to supplement the target data type or the target scene type.
7. The method according to any one of claims 1-6, wherein constructing a virtual teaching scene corresponding to each knowledge point in a three-dimensional virtual earth based on the target data type and the target scene type, and performing visualization processing on the virtual teaching scene, comprises: All data corresponding to the target data type are called from the resource library, and structured integration is carried out on all the data according to the content logic of the target scene type to form a scene data packet; loading the scene data packet to the three-dimensional virtual earth platform, accurately positioning the spatial position corresponding to the knowledge point according to a geographic coordinate system, and constructing a three-dimensional teaching scene frame comprising terrain rendering, entity modeling and scene association to obtain a virtual teaching scene corresponding to each knowledge point; And configuring a multi-dimensional interaction function for the virtual teaching scene so as to visualize the virtual teaching scene, wherein the multi-dimensional interaction function comprises scene scaling, visual angle free rotation, click trigger explanation, dynamic simulation demonstration and time sequence comparison demonstration.
8. A virtual teaching scene construction apparatus, the apparatus comprising: The first construction unit is used for constructing a resource library required by virtual teaching based on the spatial information library and the multimedia database; The processing unit is used for classifying the content in the resource library obtained by the first construction unit in a multi-dimensional manner according to a preset spatial distribution type set, a data type set and a scene type set, and constructing a first mapping relation and a second mapping relation between the spatial distribution type set and the data type set and the scene type set respectively; The extraction unit is used for extracting knowledge points required by virtual teaching based on teaching texts, and one knowledge point corresponds to one target space distribution type in the space distribution type set; the determining unit is used for respectively determining the target data type and the target scene type of each knowledge point obtained by the extracting unit by utilizing the first mapping relation and the second mapping relation obtained by the processing unit; The second construction unit is used for constructing a virtual teaching scene corresponding to each knowledge point in the three-dimensional virtual earth platform based on the target data type and the target scene type which are obtained by the determination unit, and carrying out visualization processing on the virtual teaching scene, wherein the virtual teaching scene is used for representing scene contents corresponding to the target scene type in the three-dimensional virtual earth platform based on the expression characteristics corresponding to the target data type.
9. A storage medium comprising a stored program, wherein the program, when run, controls a device in which the storage medium is located to perform the virtual teaching scene construction method according to any of claims 1 to 7.
10. A processor, wherein the processor is configured to run a program, and wherein the program, when run, performs the virtual teaching scene construction method according to any of claims 1 to 7.

Description

Virtual teaching scene construction method and device Technical Field The application relates to the technical field of digital education, in particular to a virtual teaching scene construction method and device. Background Along with the acceleration of education digital transformation, the virtual earth platform is widely applied to the improvement of intuitiveness and immersion of knowledge presentation in the space discipline teaching such as geography, history and the like. However, traditional teaching still depends on static teaching materials, and it is difficult to dynamically show the interaction relationship between the spatial scale change and the human activities and the natural environment, and it is highly desirable to visualize abstract knowledge. At present, although the virtual three-dimensional earth platform in the prior art can provide functions of storing and visualizing massive space data, the data resources and teaching knowledge points of the virtual three-dimensional earth platform lack systematic corresponding mechanisms, massive space data of the platform is mainly based on general geographic information and is not structurally classified according to course standards, namely, the massive space data provided by the platform is difficult to directly correspond to knowledge points which are required by teaching and meet course standards, the knowledge points cannot be accurately matched to virtual teaching scenes which meet the course standards, the required data are required to be manually screened during teaching, and serious disjointing of the data resources and the teaching requirements is caused. Disclosure of Invention In view of the above problems, the present application provides a method and an apparatus for constructing a virtual teaching scene, which are mainly aimed at precisely matching knowledge points to a virtual teaching scene meeting course standards, so as to bridge the gap between data resources and teaching requirements. In order to solve the technical problems, the application provides the following scheme: In a first aspect, the present application provides a virtual teaching scene construction method, where the method includes: Constructing a resource library required by virtual teaching based on the spatial information library and the multimedia database; According to a preset spatial distribution type set, a data type set and a scene type set, carrying out multidimensional classification on the content in the resource library, and constructing a first mapping relation and a second mapping relation between the spatial distribution type set and the data type set and the scene type set respectively; Based on teaching texts, extracting knowledge points required by virtual teaching, wherein one knowledge point corresponds to one target space distribution type in the space distribution type set; respectively determining a target data type and a target scene type of each knowledge point by utilizing the first mapping relation and the second mapping relation; based on the target data type and the target scene type, constructing a virtual teaching scene corresponding to each knowledge point in a three-dimensional virtual earth platform, and performing visualization processing on the virtual teaching scene, wherein the virtual teaching scene is used for representing scene content corresponding to the target scene type in the three-dimensional virtual earth platform based on the expression characteristics corresponding to the target data type. In a second aspect, the present application provides a virtual teaching scene construction apparatus, the apparatus including: The first construction unit is used for constructing a resource library required by virtual teaching based on the spatial information library and the multimedia database; The processing unit is used for classifying the content in the resource library obtained by the first construction unit in a multi-dimensional manner according to a preset spatial distribution type set, a data type set and a scene type set, and constructing a first mapping relation and a second mapping relation between the spatial distribution type set and the data type set and the scene type set respectively; The extraction unit is used for extracting knowledge points required by virtual teaching based on teaching texts, and one knowledge point corresponds to one target space distribution type in the space distribution type set; the determining unit is used for respectively determining the target data type and the target scene type of each knowledge point obtained by the extracting unit by utilizing the first mapping relation and the second mapping relation obtained by the processing unit; The second construction unit is used for constructing a virtual teaching scene corresponding to each knowledge point in the three-dimensional virtual earth platform based on the target data type and the target scene type which are obtained by the de