CN115731751A - Online teaching system integrating artificial intelligence and virtual reality technology - Google Patents
Online teaching system integrating artificial intelligence and virtual reality technology Download PDFInfo
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Abstract
The invention provides an online teaching system integrating artificial intelligence and a virtual reality technology, and relates to the technical field of virtual reality. An online teaching system fusing artificial intelligence and virtual reality technology comprises: the personal information management module is used for managing the personal basic information of the teacher, the course name information and the course arrangement information which need to be taught, and the personal basic information of the students and storing the personal basic information into the database; and the artificial intelligence processing module is used for constructing a virtual character model of a teacher character based on the mapping relation between the database and the virtual action library, acquiring corresponding scene elements according to teaching contents in the database, synthesizing a virtual teaching scene based on the virtual character model and the scene elements, and sending the virtual teaching scene to the teaching library for storage. And the virtual reality module is used for selecting at least one virtual teaching scene of the course for the teacher to teach from the teaching library, preprocessing the virtual teaching scene and determining the playing sequence of all the virtual teaching scenes for dynamically displaying to the students.
Description
Technical Field
The invention relates to the technical field of virtual reality, in particular to an online teaching system fusing artificial intelligence and a virtual reality technology.
Background
Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence, a field of research that includes robotics, language recognition, image recognition, natural language processing, and expert systems, among others. The virtual reality technology comprises a computer, electronic information and a simulation technology, the environment experience of students in the virtual environment can be better brought, and meanwhile teachers can explain knowledge and communicate with students in the virtual reality system at any time and any place. In the virtual learning environment based on the network information technology and the multimedia equipment, the subjective initiative and the autonomous learning ability of students can be greatly improved, the students can learn knowledge through a computer, and meanwhile, the students can enjoy the currently abundant learning resources. The generation and development of video education are not separated from the continuous evolution of computers, and benefit from the rise and development of the internet.
In the current online teaching, students and teachers log in a server through own clients respectively, and the clients and the server are connected through a network to realize online teaching. Compared with an offline teaching mode, the remote online teaching mode has the advantages of being convenient and flexible to attend a class and saving time for students to come to and go from a school. However, in the existing online teaching system, the student end can see the live teaching video of the teacher, but the teacher end cannot see or cannot see the student videos of a plurality of online student ends at the same time, so that the teacher cannot know whether the students at the student ends are online really, the teacher can only confirm whether the students at the remote student ends are online actually in an online roll call mode, online supervision of the students completely depends on manual confirmation of the teacher, and the intelligence degree of the teaching system is not high. In a practical teaching scene, the selection of the teacher by the students is limited, and the external image and the external sound of the teacher are fixed. Research shows that teachers loved by students give lessons, so that learning interests of the students can be stimulated more often.
Therefore, a virtual teaching scene is needed to be provided, so that students can independently select images and sounds of own teachers to give lessons, scene education is realized, the requirement of the users for quickly and conveniently acquiring learning information is met, the learning interest and learning enthusiasm of the users are enhanced, and the learning experience is improved.
Disclosure of Invention
The invention aims to provide an online teaching system integrating artificial intelligence and a virtual reality technology, which can meet the requirement of students on fast and conveniently acquiring learning information, enhance the learning interest and the learning enthusiasm of the students and improve the learning experience.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides an online teaching system integrating artificial intelligence and virtual reality technology, which includes a personal information management module, configured to manage personal basic information of a teacher, course name information and course arrangement information to be taught, and personal basic information of students, and store the personal basic information in a database;
and the artificial intelligence processing module is used for constructing a virtual character model of a teacher character based on the mapping relation between the database and the virtual action library, acquiring corresponding scene elements according to the teaching contents in the database, synthesizing a virtual teaching scene based on the virtual character model and the scene elements, and sending the virtual teaching scene to the teaching library for storage.
And the virtual reality module is used for selecting at least one virtual teaching scene of the course for the teacher to teach from the teaching library, preprocessing the virtual teaching scene and determining the playing sequence of all the virtual teaching scenes for dynamically displaying to the students.
In some embodiments of the present invention, the personal information management module further includes: and the information data synthesis submodule is used for respectively synthesizing the virtual voice library and the virtual action library of the target character according to the voice characteristic data and the action characteristic data of the personal basic information of the teacher and the students.
In some embodiments of the present invention, the above further includes: and the teaching data processing submodule is used for processing the teaching resources through computer modeling software, establishing virtual teaching resources, and performing operations and management of creating, copying, modifying, deleting, parameter selecting and attribute configuration on the virtual teaching resources.
In some embodiments of the present invention, the artificial intelligence processing module further includes: and the division submodule is used for performing modular processing and/or fragmentation processing on the teaching contents in the database, decomposing the teaching contents into a plurality of relatively independent operation modules, and performing independent operation on each operation module.
In some embodiments of the present invention, the above further includes: and the binarization processing submodule is used for selecting a plurality of virtual reality scene images which do not repeatedly contain the same teaching content from the virtual action library, and carrying out binarization processing on each virtual reality scene image so as to obtain a corresponding binarization virtual reality scene image.
In some embodiments of the present invention, the above further includes: and the voice processing submodule is used for acquiring corresponding voice information contained in each virtual reality scene image during teaching content and carrying out background noise filtering processing on the voice information.
In some embodiments of the present invention, the virtual reality module further includes: and the extraction submodule is used for acquiring voice characteristic data through voice extraction according to training voice data which is sent by teacher teaching and is based on preset voice content, acquiring action characteristic data through action decomposition according to training action data which is displayed by the teacher teaching and is based on preset action content, and sending the action characteristic data to the teaching library for storage.
In some embodiments of the present invention, the foregoing further includes: and the analysis construction submodule is used for analyzing the teaching content of the virtual teaching scene, acquiring scene elements and scene elements, and constructing a virtual character model of the teacher character and a corresponding virtual teaching scene based on the virtual imaging technology and the mapping relation between the database and the virtual action library.
In some embodiments of the invention, the above includes: at least one memory for storing computer instructions; at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to: the system comprises a personal information management module, an artificial intelligence processing module and a virtual reality module.
In a second aspect, embodiments of the present application provide a computer-readable storage medium on which a computer program is stored, which, when executed by a processor, implements a system such as any one of an online teaching system that merges artificial intelligence and virtual reality technologies.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
by means of virtual simulation teaching and management application developed by means of a virtual reality technology, a multimedia technology, an artificial intelligence technology, a network communication technology and a computer technology, the method can overcome the limitation of objective factors such as high experiment cost, high consumption, potential safety hazards and the like in the existing teaching, develop experiment teaching and skill training with low cost, low consumption and high safety degree, help students to quickly acquire knowledge and master skills, stimulate the learning interest of the students, improve the innovative business-creating capability of the students, help teaching resources to be opened, shared and popularized across professions, hospitals and regions, and be favorable for realizing dynamic update and efficient operation and management of the teaching resources.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic diagram of an online teaching system module integrating artificial intelligence and virtual reality technology according to an embodiment of the present invention;
fig. 2 is an electronic device according to an embodiment of the present invention.
An icon: 10-personal information management module; 20-artificial intelligence processing module; 30-a virtual reality module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
It is to be noted that the term "comprises," "comprising," or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, system, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, system, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a" \8230; "does not exclude the presence of additional like elements in a process, system, article, or apparatus that comprises the element.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Example 1
Referring to fig. 1, fig. 1 is a schematic view of an online teaching system integrating artificial intelligence and virtual reality technology according to an embodiment of the present invention, which is shown as follows:
the personal information management module 10 is used for managing the personal basic information of the teacher, the course name information and the course arrangement information which need to be taught, and the personal basic information of the students and storing the personal basic information into the database;
in some embodiments, the information data synthesis sub-module is further included for synthesizing a virtual voice library and a virtual action library of the target character based on the voice characteristic data and the action characteristic data of the personal basic information of the teacher and the student, respectively. And the teaching data processing submodule is used for processing the teaching resources through computer modeling software, establishing virtual teaching resources, and performing operation and management of creating, copying, modifying, deleting, parameter selecting and attribute configuration on the virtual teaching resources.
In some embodiments, the teacher needs to register an own dedicated account on the client along with AI artificial intelligence, and enter own personal basic information and the course name, the course price, the course arrangement and the like to be taught into the teacher management subsystem. The student firstly needs to register an exclusive account number of the student on the client along with the prompting of AI artificial intelligence, and the student completes personal information in the client through the prompting of the artificial intelligence.
Then establish and establish the course classroom based on virtual reality technique, preset into the student seat of matrix form in the classroom, the student gets into the biological course classroom based on virtual reality technique through the customer end based on virtual reality technique (for example VR glasses) after, can select the seat "sit down" that nobody occupies, then can carry out the biological course study based on virtual reality technique through this customer end, compare in the current mode of online study through cell-phone or panel computer etc. the intelligent teaching mode based on virtual reality can make the user have the experience of study of being personally on the spot. In the embodiment of the invention, the classroom and the seats are virtual, for example, the classroom is recorded as a two-dimensional matrix in the background of the teaching system, and the seat of each student is the position of the selected seat in the virtual classroom in the row and column of the two-dimensional matrix.
Firstly, a student opens a client to enter a virtual classroom, the system records the seat number as (i, j) after the student selects a seat, the corresponding relation between the seat number and the student end identification is established, then the names of the student are sequentially displayed on a teacher end interface according to the seat condition in a real classroom, and then the student begins to listen to the explanation of a knowledge point in the virtual classroom. Wherein (i, j) indicates that the student sits in row i, column j in a virtual reality biological class classroom, i =1,2, \8230, n; j =1,2, \ 8230;, m; n is the line number of presetting the seat in the virtual reality biological course classroom, and m is the column number of presetting the seat in the virtual reality biological course classroom, and this student end of seat number seat is the only sign in the position in the virtual reality biological course classroom, and same seat can only be sat a student, and the student end that gets into the classroom promptly and seat number are the one-to-one correspondence.
The method comprises the steps of providing a plurality of virtual reality scene images containing teaching contents for students, collecting actual voice information sent by the students when the students read each course, determining voice audio difference between the actual voice information and standard answers corresponding to the courses, determining the times of repeated playing of the virtual reality scene images by combining the reaction time of the students after the students watch the teaching contents contained in each virtual reality scene image, so that the corresponding virtual reality scene images can be repeatedly played, and thus the playing times of the virtual reality scene images can be adjusted according to the actual reactions of the students, so that the students can obtain targeted teaching in the virtual reality scene and the intelligent degree of the quality of the virtual reality teaching can be improved.
And the artificial intelligence processing module 20 is configured to construct a virtual character model of a teacher character based on a mapping relationship between the database and the virtual action library, acquire corresponding scene elements according to teaching contents in the database, synthesize a virtual teaching scene based on the virtual character model and the scene elements, and send the virtual teaching scene to the teaching library for storage.
In some embodiments, the system further comprises a partitioning submodule for performing modular processing and/or fragmentation processing on the teaching content in the database, and decomposing the teaching content into a plurality of relatively independent operation modules, wherein each operation module performs independent operation. And the binarization processing sub-module is used for selecting a plurality of virtual reality scene images which do not repeatedly contain the same teaching content from the virtual action library, and carrying out binarization processing on each virtual reality scene image so as to obtain a corresponding binarization virtual reality scene image. And the voice processing submodule is used for acquiring corresponding voice information contained in each virtual reality scene image during teaching content, and performing background noise filtering processing on the voice information.
In some embodiments, the collected training voice data is used for obtaining the voice feature data of the target person through voice extraction. For example, voice feature data of the target person, such as the tone, the speed, the tone, the weight, the length, and the elevation of the voice, are acquired through a voice extraction algorithm. And (4) decomposing the training motion data through motion to obtain motion characteristic data of the target person. For example, motion feature data such as a facial image, a limb feature, a facial expression, and a limb habit of the target person are acquired through techniques such as video frame processing and parsing. Respectively synthesizing virtual voice and virtual motion of the target character according to the voice characteristic data and the motion characteristic data of the target character; namely, the voice characteristic and the motion characteristic data of the target person are respectively generated into virtual voice and virtual motion belonging to the target person by adopting an artificial intelligence technology, and the virtual voice and the virtual motion are input into a teaching library for storage. The method comprises the steps of obtaining a mapping relation between virtual voice and virtual actions, generating a corresponding relation table between the virtual voice and the virtual actions based on a pairing relation between preset voice content and preset action content, and obtaining the mapping relation between the virtual voice and the virtual actions by calling the corresponding relation table.
The virtual reality module 30 is configured to select at least one virtual teaching scene of a course for teaching by a teacher from the teaching library, preprocess the virtual teaching scene, and determine a playing sequence in which all the virtual teaching scenes are dynamically displayed to students.
In some embodiments, the teaching device further comprises an extraction submodule, configured to obtain voice feature data through voice extraction according to training voice data based on preset voice content sent by teacher teaching, obtain action feature data through action decomposition according to training action data based on preset action content shown by teacher teaching, and send the action feature data to the teaching library for storage. And the analysis construction submodule is used for analyzing the teaching content of the virtual teaching scene, acquiring scene elements and scene elements, and constructing a virtual character model of the teacher character and a corresponding virtual teaching scene based on the virtual imaging technology and the mapping relation between the database and the virtual action library.
In some embodiments, the virtual reality module 30 may have two modes of operation, namely an exercise mode and an examination mode. The practice mode refers to that after entering the virtual simulation experiment operation module, students can perform various training, experiment operation or simulation measurement and the like under the help of operation prompts and other teaching resources, and the system does not record scores but records all operation and behavior activities of the users for analyzing and evaluating the learning quality and effect of the users. The examination mode means that after the student enters the virtual reality module 30, various operation prompts or help can be shielded by the system, various training, experiment operations or simulation measurements and the like can be independently performed within a specified time, the system can record all operations and behavior activities of the user and give final experiment scores for analyzing and evaluating the knowledge mastering degree and effect of the user. The virtual reality module 30 may also have two experimental operational attributes, namely a standardized operational experiment and a comprehensive design-type experiment. The standard operation experiment means that students can effectively master a professional basic theory, related technology or scientific law or obtain a certain skill for exercise through the operation of the experiment items. The experimental project or operation of the type belongs to a movie streaming playing mode in terms of structural design, namely a sequential structure, is a well-arranged sequential experimental operation flow, and has limitations in the aspects of training the comprehensive design capability and the space imagination of students. The comprehensive design type experiment can make up the defects of the standard operation experiment, and the experimental contents such as comprehensive design type experimental projects, large-scale equipment operation or complex operation processes and the like are subjected to modularization or fragmentation treatment and are decomposed into a plurality of simple or relatively single-function operation units or operation steps. When students need to complete such experimental projects, experimental scheme design is firstly carried out, then corresponding operation units or operation steps are selected, parameters and experimental conditions are determined, logical relations are given, and subsequent virtual simulation operation training can be carried out if the logical relations are correct.
Example 2
As shown in fig. 2, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs; a processor 102. The one or more programs, when executed by the processor 102, implement the system of any of the first aspects as described above.
Also included is a communication interface 103, and the memory 101, processor 102 and communication interface 103 are electrically connected to each other, directly or indirectly, to enable transfer or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, and the processor 102 executes the software programs and modules stored in the memory 101 to thereby execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but not limited to, a Random Access Memory (RAM) 101, a Read Only Memory (ROM) 101, a Programmable Read Only Memory (PROM) 101, an Erasable Read Only Memory (EPROM) 101, an electrically Erasable Read Only Memory (EEPROM) 101, or the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor 102, including a Central Processing Unit (CPU) 102, a Network Processor 102 (NP), and the like; but may also be a Digital Signal processor 102 (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed system may be implemented in other ways. The above-described system embodiments are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In another aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by the processor 102, implements the system according to any one of the first aspect described above. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the system according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory 101 (ROM), a Random Access Memory 101 (RAM), a magnetic disk or an optical disk, and various media capable of storing program codes.
To sum up, the online teaching system fusing artificial intelligence and virtual reality technology provided by the embodiment of the application can overcome the limitations of objective factors such as high experimental cost, large consumption, potential safety hazards and the like in the existing teaching through virtual simulation teaching and management application by means of virtual reality technology, multimedia technology, artificial intelligence technology, network communication technology and computer technology development, develop experimental teaching and skill training with low cost, low consumption and high safety degree, and is beneficial to students to rapidly acquiring knowledge and mastering skills, the learning interest of students is stimulated, the innovation and creation ability of students is improved, and the online teaching system fusing artificial intelligence and virtual reality technology is beneficial to realizing the dynamic update of teaching resources, efficient operation and management.
The present invention has been described in terms of the preferred embodiment, and it is not intended to be limited to the embodiment. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. An online teaching system fusing artificial intelligence and virtual reality technology, comprising:
the personal information management module is used for managing and storing personal basic information of a teacher, course name information and course arrangement information required to be taught, and personal basic information of students into the database;
the artificial intelligence processing module is used for constructing a virtual character model of a teacher character based on the mapping relation between the database and the virtual action library, acquiring corresponding scene elements according to teaching contents in the database, synthesizing a virtual teaching scene based on the virtual character model and the scene elements, and sending the virtual teaching scene to the teaching library for storage;
and the virtual reality module is used for selecting at least one virtual teaching scene of the course for the teacher to teach from the teaching library, preprocessing the virtual teaching scene and determining the playing sequence of all the virtual teaching scenes for dynamically displaying to the students.
2. The system of claim 1, wherein the personal information management module further comprises:
and the information data synthesis submodule is used for respectively synthesizing the virtual voice library and the virtual action library of the target character according to the voice characteristic data and the action characteristic data of the personal basic information of the teacher and the students.
3. The system of claim 2, further comprising:
and the teaching data processing submodule is used for processing the teaching resources through computer modeling software, establishing virtual teaching resources, and performing operation and management of creating, copying, modifying, deleting, parameter selecting and attribute configuration on the virtual teaching resources.
4. The system of claim 1, wherein the artificial intelligence processing module further comprises:
and the division submodule is used for performing modular processing and/or fragmentation processing on the teaching contents in the database, decomposing the teaching contents into a plurality of relatively independent operation modules, and performing independent operation on each operation module.
5. The system of claim 4, further comprising:
and the binarization processing sub-module is used for selecting a plurality of virtual reality scene images which do not repeatedly contain the same teaching content from the virtual action library, and carrying out binarization processing on each virtual reality scene image so as to obtain a corresponding binarization virtual reality scene image.
6. The system of claim 5, further comprising:
and the voice processing submodule is used for acquiring corresponding voice information contained in each virtual reality scene image during teaching content, and performing background noise filtering processing on the voice information.
7. The system of claim 1, wherein the virtual reality module further comprises:
and the extraction submodule is used for acquiring voice characteristic data according to training voice data which is sent by the teacher for teaching and is based on preset voice content and through voice extraction, acquiring action characteristic data according to training action data which is displayed by the teacher for teaching and is based on preset action content and through action decomposition, and sending the action characteristic data to the teaching library for storage.
8. The system of claim 7, further comprising:
and the analysis construction submodule is used for analyzing the teaching content of the virtual teaching scene, acquiring scene elements and scene elements, and constructing a virtual character model of the teacher character and a corresponding virtual teaching scene based on the virtual imaging technology and the mapping relation between the database and the virtual action library.
9. An online tutoring system integrating artificial intelligence and virtual reality as claimed in claim 8, comprising:
at least one memory for storing computer instructions;
at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to perform: the system comprises a personal information management module, an artificial intelligence processing module and a virtual reality module.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, implements a system according to any one of claims 1-9.
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| CN202211476577.0A CN115731751A (en) | 2022-11-23 | 2022-11-23 | Online teaching system integrating artificial intelligence and virtual reality technology |
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| CN202211476577.0A CN115731751A (en) | 2022-11-23 | 2022-11-23 | Online teaching system integrating artificial intelligence and virtual reality technology |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116682304A (en) * | 2023-08-03 | 2023-09-01 | 江西格如灵科技股份有限公司 | Teaching method, system, storage medium and device in virtual reality environment |
| CN117172979A (en) * | 2023-11-03 | 2023-12-05 | 江西格如灵科技股份有限公司 | Teaching courseware generation method, device, equipment and medium based on AIGC |
-
2022
- 2022-11-23 CN CN202211476577.0A patent/CN115731751A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116682304A (en) * | 2023-08-03 | 2023-09-01 | 江西格如灵科技股份有限公司 | Teaching method, system, storage medium and device in virtual reality environment |
| CN116682304B (en) * | 2023-08-03 | 2023-11-07 | 江西格如灵科技股份有限公司 | Teaching method, system, storage medium and device in virtual reality environment |
| CN117172979A (en) * | 2023-11-03 | 2023-12-05 | 江西格如灵科技股份有限公司 | Teaching courseware generation method, device, equipment and medium based on AIGC |
| CN117172979B (en) * | 2023-11-03 | 2024-01-26 | 江西格如灵科技股份有限公司 | Teaching courseware generation method, device, equipment and medium based on AIGC |
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