CN117854339A - AR teaching material generation method, device, equipment and medium - Google Patents

AR teaching material generation method, device, equipment and medium Download PDF

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Publication number
CN117854339A
CN117854339A CN202410098214.0A CN202410098214A CN117854339A CN 117854339 A CN117854339 A CN 117854339A CN 202410098214 A CN202410098214 A CN 202410098214A CN 117854339 A CN117854339 A CN 117854339A
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teaching
taught
score
content
generating
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崔海涛
李星
邝敏红
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Goolton Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B7/00Electrically-operated teaching apparatus or devices working with questions and answers
    • G09B7/02Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
    • G09B7/04Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation

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Abstract

The application discloses a generation method, device, equipment and medium of AR teaching materials, and belongs to the technical field of AR teaching. In the application, the information of the content to be taught including the learning target to be achieved by the learner to be taught and/or the related description of the knowledge skills to be mastered is acquired, and the usable AR teaching tool is determined, so that the AR teaching material which accords with the learning target of the learner to be taught and performs AR teaching by using the usable AR teaching tool is generated through the information of the content to be taught and the usable AR teaching tool. When the AR teaching materials are generated, the technology and experience of various AR teaching materials are not required to be mastered, and only the information of the content to be taught and the usable AR teaching tools are required to be determined, so that the AR teaching materials are automatically generated, and the generation efficiency of the AR teaching materials is improved.

Description

AR teaching material generation method, device, equipment and medium
Technical Field
The application relates to the technical field of AR teaching, in particular to a generation method of AR teaching materials, a generation device of AR teaching materials, generation equipment of AR teaching materials and a computer readable storage medium.
Background
Currently, AR educational training requires a rich teacher to guide and guide students. However, because AR technology is relatively new, there may be teachers lacking in expertise and skills. Moreover, the design of the content of the AR educational training requires a full consideration of the combination of discipline knowledge and AR technology. However, some teachers may lack an understanding of AR technology, resulting in an insufficient and efficient content design. Moreover, if a professional team is sought or AR teaching materials are created by means of a third party, there are communication costs, fee costs, and the like. Therefore, there is a need to provide relevant content design guidance and resource support to help teachers better teach using AR technology.
Disclosure of Invention
The main object of the present application is to provide a method for generating AR teaching materials, a device for generating AR teaching materials, and a computer-readable storage medium, which aim to improve the generating efficiency of AR teaching materials.
In order to achieve the above purpose, the present application provides a method for generating an AR teaching material, where the method includes:
acquiring information of content to be taught, wherein the content to be taught comprises a learning target to be achieved by a learner to be taught and/or a related description of knowledge skills to be mastered;
Determining an AR teaching tool that can be used;
based on the information of the content to be taught and the usable AR teaching tool, AR teaching materials which accord with the learning target of the person to be taught and conduct AR teaching by using the usable AR teaching tool are generated.
Illustratively, the method further comprises:
determining a learning resource type to be displayed on an available AR teaching tool, wherein the learning resource type comprises a 3D model, a video, a picture and a game;
based on the information of the content to be taught, the usable AR teaching tool and the type of the learning resource to be displayed, AR teaching materials which accord with the learning target of the person to be taught and use the usable AR teaching tool and conduct AR teaching through the type of the learning resource to be displayed are generated.
Illustratively, the method further comprises:
determining interaction elements, wherein the interaction elements comprise visual interaction, gesture control, sound interaction and tactile feedback;
based on the information of the content to be taught, the usable AR teaching tool, the type of learning resources to be displayed and the interactive elements, AR teaching materials which accord with the learning target of the person to be taught and use the usable AR teaching tool, and conduct AR teaching through the type of learning resources to be displayed and the interactive elements are generated.
Illustratively, the method further comprises:
before teaching by using the generated AR teaching materials, carrying out a knowledge test on information of content to be taught by a to-be-taught student to obtain a first score;
after teaching by using the generated AR teaching materials, carrying out knowledge testing on information of content to be taught by a to-be-taught student to obtain a second score;
and adjusting a generating model for generating the AR teaching material according to the first score and the second score.
Illustratively, the step of adjusting the generating model for generating the AR teaching material according to the first score and the second score includes:
if the difference between the second score and the first score is greater than a preset difference threshold, the data set for generating the AR teaching material is collected again, and/or the structure and super parameters of the generated model are adjusted, and/or the data processing method of the generated model is increased, and/or the regularization method of the generated model is increased, and/or the integration method of the generated model is increased, and the generated model is retrained and verified until a new generated model with the difference between the second score and the first score being less than or equal to the preset difference threshold is obtained.
Illustratively, the step of adjusting the generating model for generating the AR teaching material according to the first score and the second score includes:
And according to the difference value between the second score and the first score, adjusting relevant generation parameters in the information of the content to be taught, the usable AR teaching tool, the type of learning resources to be displayed and the interactive elements in the generation model.
The step of adjusting relevant generation parameters in the generation model, the information of the content to be taught, the available AR teaching tool, the type of learning resources to be displayed and the interactive element according to the difference between the second score and the first score includes:
if the difference value between the second score and the first score is located in a fourth interval, adjusting relevant generation parameters of one of information of contents to be taught, usable AR teaching tools, learning resource types to be displayed and interactive elements in the generation model;
if the difference value between the second score and the first score is located in a third interval, adjusting related generation parameters of two of information of content to be taught, usable AR teaching tools, learning resource types to be displayed and interactive elements in the generation model;
if the difference value between the second score and the first score is located in the second interval, adjusting related generation parameters of three of information of content to be taught, usable AR teaching tools, learning resource types to be displayed and interaction elements in the generation model;
If the difference value between the second score and the first score is located in the first interval, adjusting relevant generation parameters in information of content to be taught, usable AR teaching tools, learning resource types to be displayed and interactive elements in the generation model;
the second score is greater than or equal to the first score, the upper limit difference value of the first interval is less than or equal to the lower limit difference value of the second interval, the upper limit difference value of the second interval is less than or equal to the lower limit difference value of the third interval, and the upper limit difference value of the third interval is less than or equal to the lower limit difference value of the fourth interval.
The application also provides a generating device of AR teaching material, generating device of AR teaching material includes:
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring information of content to be taught, and the content to be taught comprises a learning target to be achieved by a learner to be taught and/or a related description of knowledge skills to be mastered;
the determining module is used for determining the usable AR teaching tool;
the generating module is used for generating AR teaching materials which accord with the learning target of the to-be-taught person and conduct AR teaching by using the usable AR teaching tool based on the to-be-taught content information and the usable AR teaching tool.
The application also provides equipment for generating AR teaching materials, equipment for generating AR teaching materials includes: the system comprises a memory, a processor, and a computer program stored on the memory and executable on the processor, which when executed by the processor, performs the steps of the AR teaching material generation method as described above.
The present application also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the AR teaching material generation method as described above.
The method for generating the AR teaching material, the device for generating the AR teaching material and the computer-readable storage medium acquire information of content to be taught, wherein the content to be taught comprises a learning target to be achieved by a learner to be taught and/or a related description of knowledge skills to be mastered; determining an AR teaching tool that can be used; based on the information of the content to be taught and the usable AR teaching tool, AR teaching materials which accord with the learning target of the person to be taught and conduct AR teaching by using the usable AR teaching tool are generated.
At present, when generating AR teaching materials, at least the following technical barriers exist, 1. The technical requirements are high: the generation of AR teaching materials requires a significant level of skill and development experience, including multiple skills such as 3D modeling, programming, image processing, etc. This can be a challenge for non-professionals. 2. The design is complex: AR teaching materials require designs that take into account aspects such as scenes, interactions, user experience, etc., which require significant amounts of time and resources. 3. The learning curve is steep: the generation of AR teaching materials requires the grasping of new techniques and tools, which takes time and effort to learn.
Therefore, in the present application, information of contents to be taught including a learning target to be achieved by a learner to be taught and/or a related description of knowledge skills to be mastered is acquired, and an AR teaching tool that can be used is determined, so that an AR teaching material that conforms to the learning target of the learner to be taught and that performs AR teaching using the AR teaching tool that can be used is generated by the information of contents to be taught and the AR teaching tool that can be used. When the AR teaching materials are generated, the technology and experience of various AR teaching materials are not required to be mastered, and only the information of the content to be taught and the usable AR teaching tools are required to be determined, so that the AR teaching materials are automatically generated, and the generation efficiency of the AR teaching materials is improved.
Drawings
FIG. 1 is a schematic diagram of an operating device of a hardware operating environment according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of an embodiment of a method for generating AR teaching materials according to an embodiment of the present application;
fig. 3 is a schematic diagram of an AR teaching material generating apparatus according to an embodiment of the present application.
The realization, functional characteristics and advantages of the present application will be further described with reference to the embodiments, referring to the attached drawings.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
Referring to fig. 1, fig. 1 is a schematic diagram of an operating device of a hardware operating environment according to an embodiment of the present application.
As shown in fig. 1, the operation device may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 is not limiting of the operating device and may include more or fewer components than shown, or certain components may be combined, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a computer program may be included in the memory 1005 as one type of storage medium.
In the operating device shown in fig. 1, the network interface 1004 is mainly used for data communication with other devices; the user interface 1003 is mainly used for data interaction with a user; the processor 1001, the memory 1005 in the operation device of the present application may be provided in an operation device that calls a computer program stored in the memory 1005 through the processor 1001 and performs the following operations:
acquiring information of content to be taught, wherein the content to be taught comprises a learning target to be achieved by a learner to be taught and/or a related description of knowledge skills to be mastered;
determining an AR teaching tool that can be used;
based on the information of the content to be taught and the usable AR teaching tool, AR teaching materials which accord with the learning target of the person to be taught and conduct AR teaching by using the usable AR teaching tool are generated.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the method further comprises the steps of:
determining a learning resource type to be displayed on an available AR teaching tool, wherein the learning resource type comprises a 3D model, a video, a picture and a game;
based on the information of the content to be taught, the usable AR teaching tool and the type of the learning resource to be displayed, AR teaching materials which accord with the learning target of the person to be taught and use the usable AR teaching tool and conduct AR teaching through the type of the learning resource to be displayed are generated.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the method further comprises the steps of:
determining interaction elements, wherein the interaction elements comprise visual interaction, gesture control, sound interaction and tactile feedback;
based on the information of the content to be taught, the usable AR teaching tool, the type of learning resources to be displayed and the interactive elements, AR teaching materials which accord with the learning target of the person to be taught and use the usable AR teaching tool, and conduct AR teaching through the type of learning resources to be displayed and the interactive elements are generated.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the method further comprises the steps of:
before teaching by using the generated AR teaching materials, carrying out a knowledge test on information of content to be taught by a to-be-taught student to obtain a first score;
after teaching by using the generated AR teaching materials, carrying out knowledge testing on information of content to be taught by a to-be-taught student to obtain a second score;
and adjusting a generating model for generating the AR teaching material according to the first score and the second score.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the step of adjusting a generation model for generating the AR teaching material according to the first score and the second score comprises the following steps:
if the difference between the second score and the first score is greater than a preset difference threshold, the data set for generating the AR teaching material is collected again, and/or the structure and super parameters of the generated model are adjusted, and/or the data processing method of the generated model is increased, and/or the regularization method of the generated model is increased, and/or the integration method of the generated model is increased, and the generated model is retrained and verified until a new generated model with the difference between the second score and the first score being less than or equal to the preset difference threshold is obtained.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the step of adjusting a generation model for generating the AR teaching material according to the first score and the second score comprises the following steps:
and according to the difference value between the second score and the first score, adjusting relevant generation parameters in the information of the content to be taught, the usable AR teaching tool, the type of learning resources to be displayed and the interactive elements in the generation model.
In an embodiment, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
the step of adjusting relevant generation parameters in the generated model, including the information of the content to be taught, the available AR teaching tool, the type of learning resources to be displayed and the interactive elements according to the difference between the second score and the first score, includes:
if the difference value between the second score and the first score is located in a fourth interval, adjusting relevant generation parameters of one of information of contents to be taught, usable AR teaching tools, learning resource types to be displayed and interactive elements in the generation model;
if the difference value between the second score and the first score is located in a third interval, adjusting related generation parameters of two of information of content to be taught, usable AR teaching tools, learning resource types to be displayed and interactive elements in the generation model;
If the difference value between the second score and the first score is located in the second interval, adjusting related generation parameters of three of information of content to be taught, usable AR teaching tools, learning resource types to be displayed and interaction elements in the generation model;
if the difference value between the second score and the first score is located in the first interval, adjusting relevant generation parameters in information of content to be taught, usable AR teaching tools, learning resource types to be displayed and interactive elements in the generation model;
the second score is greater than or equal to the first score, the upper limit difference value of the first interval is less than or equal to the lower limit difference value of the second interval, the upper limit difference value of the second interval is less than or equal to the lower limit difference value of the third interval, and the upper limit difference value of the third interval is less than or equal to the lower limit difference value of the fourth interval.
An embodiment of the present application provides a method for generating an AR teaching material, referring to fig. 2, in an embodiment of the method for generating an AR teaching material, the method includes:
step S10, information of contents to be taught is obtained, wherein the contents to be taught comprise related descriptions of learning targets to be achieved and/or knowledge skills to be mastered by students to be taught;
In AR teaching, learning objectives to be achieved and/or knowledge skills to be mastered by a learner may be determined according to specific education fields and teaching contents, including: 1. knowledge mastering: through AR technology demonstration and interaction, students are helped to understand and master relevant knowledge points. For example, AR models are used in medical education to show human anatomy, helping students to learn about human biology. When the content to be taught is a learning target and/or knowledge skill of knowledge mastering, the corresponding content information to be taught is related description information of knowledge mastering.
2. Practical capability culture: through AR interactive experience, the actual operation of students and the capability of solving the problems are cultivated. For example, AR virtual scenes are used in engineering education, allowing a learner to perform mechanical maintenance or assembly operations, and to learn actual operation skills and procedures. Correspondingly, when the content to be taught is a learning target and/or knowledge skill for practical capability cultivation, the corresponding content information to be taught is related description information for practical capability cultivation.
3. Visual space cognition: through the presentation of the AR virtual scene, students are helped to understand and recognize the visual space. For example, AR modeling tools are used in building design education to allow students to build and understand building spaces through virtual building designs and demonstrations. Correspondingly, when the content to be taught is a learning target and/or knowledge skill of visual space cognition, the corresponding content information to be taught is related description information of visual space cognition.
4. Creativity and imagination culture: through AR creation and design, the creativity and imagination of the trainee are cultivated. For example, AR art creation tools are used in art education to allow students to create and design virtual works of art or movie and television animations. Correspondingly, when the content to be taught is the learning target and/or knowledge skill for the creativity and imagination culture, the corresponding content information to be taught is the related description information for the creativity and imagination culture.
5. Team collaboration and communication capabilities: and culturing team cooperation and communication capability of students through the AR cooperation project. For example, AR business simulation scenarios are used in business education, allowing students to promote collaborative skills and leadership in virtual team collaboration and competition. Correspondingly, when the content to be taught is a learning target and/or knowledge skill of team cooperation and communication capability, the corresponding content information to be taught is related description information of team cooperation and communication capability.
6. Interest culture and learning motivation promotion: through the interestingness and innovation of AR teaching, the interest and motivation of students for learning are stimulated. For example, AR gambling teaching is used in language learning education, allowing students to boost learning power and language level in interesting interactions. Correspondingly, when the content to be taught is a learning target and/or knowledge skill promoted by the interest culture and learning motivation, the corresponding content information to be taught is related description information promoted by the interest culture and learning motivation.
Step S20, determining usable AR teaching tools;
among the AR teaching tools that may be used include one or more of Unity, unreal Engine, vuforia, AR Kit, and AR Core, among others. The Unreal Engine is a game Engine and can also be used for AR teaching, provides rich AR development functions and tools, can create realistic virtual scenes, interactive experiences and effects, and is also a plugin named Unreal Studio and specially used for the design and development of Virtual Reality (VR) and Augmented Reality (AR) applications; vuforia is an AR development tool supporting multiple platforms, providing image recognition, object tracking, virtual buttons, etc. functions that are compatible with Unity and other major development engines and can be used to create AR applications on mobile devices, including educational content; the AR Kit is an AR development framework developed by apple for iOS equipment, provides a set of powerful tools and functions, can be used for creating high-quality AR applications on iPhone and iPad, supports the characteristics of environment tracking, face recognition, object detection and the like, and is also suitable for developing AR applications related to education; the AR Core is an AR development platform developed by Google for Android equipment, provides functions similar to an AR Kit, enables a developer to create an Android application program with virtual enhanced experience, and supports functions such as motion tracking, environment understanding and illumination estimation.
Step S30, generating AR teaching materials which accord with learning targets of the to-be-taught person and conduct AR teaching by using the usable AR teaching tools based on the to-be-taught content information and the usable AR teaching tools.
In this embodiment, an artificial intelligence model for generating AR teaching materials is designed, thereby providing a generation model. In one embodiment, the generative model is obtained by: 1. data collection and preparation: data related to AR teaching materials is collected, including teaching materials, interactive designs, scene settings, and the like. Such data may come from existing AR educational materials or other educational resources. 2. Data annotation and annotation: the collected data is annotated and annotated to specify the input and output of each data sample. For example, an AR scene image is taken as input and the desired AR effect is taken as output. 3. Model selection and architecture design: depending on the requirements of the task and the data type, an appropriate model type is selected, such as Convolutional Neural Network (CNN), recurrent Neural Network (RNN), or generation of countermeasure network (GAN). Suitable model architecture is designed, including network hierarchy, activation functions, loss functions, etc. 4. Data partitioning and training: the data set is divided into a training set, a validation set and a test set, and the model is trained using the training set. And optimizing model parameters in a repeated iteration mode to improve performance. The generalization ability of the model is evaluated using the validation set and adjusted. 5. Model evaluation and tuning: the model is evaluated by using the test set, and evaluation indexes such as accuracy, precision, recall and the like are calculated. And adjusting a model architecture, super parameters or a data processing method according to the evaluation result to improve the performance. 6. Deployment and integration: and deploying the trained model into a production environment, and integrating the trained model with an AR teaching material generation system. And the coordinated operation of the model and other components is ensured, and the real-time performance and performance requirements are met. 7. Continuous optimization and updating: the performance of the model is monitored periodically and continuously optimized and updated according to user feedback and demand. This may include adding new teaching materials, improving interactive designs, or enhancing AR effects.
Further, in an embodiment, based on the information of the content to be taught and the available AR teaching tool, an AR teaching material which meets the learning objective of the person to be taught and performs AR teaching using the available AR teaching tool is generated through the generation model.
Illustratively, the method further comprises:
determining a learning resource type to be displayed on an available AR teaching tool, wherein the learning resource type comprises a 3D model, a video, a picture and a game;
based on the information of the content to be taught, the usable AR teaching tool and the type of the learning resource to be displayed, AR teaching materials which accord with the learning target of the person to be taught and use the usable AR teaching tool and conduct AR teaching through the type of the learning resource to be displayed are generated.
In an embodiment, besides generating an AR teaching material which meets the learning target of the person to be taught and performs AR teaching by using the usable AR teaching tool according to the information of the content to be taught and the usable AR teaching tool, the type of learning resources to be displayed on the usable AR teaching tool can be further determined, and then based on the information of the content to be taught, the usable AR teaching tool and the type of learning resources to be displayed, an AR teaching material which meets the learning target of the person to be taught and performs AR teaching by using the usable AR teaching tool and the type of learning resources to be displayed is generated, so that an AR teaching material which more accurately meets the teaching task and the target is further generated.
Wherein, AR teaching can combine various types of study resources to improve student's study effect and participation. The following are examples of the types of learning resources to be exposed on some useable AR educational tools: 1. 3D model: AR technology can superimpose 3D models into a real environment so that students can more deeply understand the structure, appearance and function of objects. For example, students may explore complex structures of human organs, astrophysics, or mechanical parts through AR applications. 2. Video and animation: AR technology can embed videos and animations into real-world environments creating an interactable learning experience. These videos and animations may be used to demonstrate experimental procedures, interpret abstract concepts, or teach historical events. 3. Virtual laboratory: the AR technology can create a virtual laboratory that allows students to conduct safe experiments while obtaining experience similar to real experiments. For example, in a chemical course, a student may use an AR application for molecular interactions, periodic table lookup, or chemical reaction simulation. 4. Interactive game: AR technology can create games with educational properties that motivate students' interest and participation. For example, students may use AR applications for language learning, geographical knowledge testing, or historical event simulation. 5. Virtual navigation: the AR technology can create virtual navigation so that students can explore geography, culture and natural landscapes in class. For example, in a geographic or historical course, students may use an AR application for city navigation, national cultural travel, or historical scene simulation. 6. Other resources: AR technology may also incorporate other types of learning resources, such as audio, pictures, comics, etc., to create a more diverse learning experience. These resources may help students better understand and memorize discipline content.
Illustratively, the method further comprises:
determining interaction elements, wherein the interaction elements comprise visual interaction, gesture control, sound interaction and tactile feedback;
based on the information of the content to be taught, the usable AR teaching tool, the type of learning resources to be displayed and the interactive elements, AR teaching materials which accord with the learning target of the person to be taught and use the usable AR teaching tool, and conduct AR teaching through the type of learning resources to be displayed and the interactive elements are generated.
In an embodiment, besides generating an AR teaching material which meets the learning target of the person to be taught and uses the usable AR teaching tool to conduct AR teaching according to the information of the content to be taught and the usable AR teaching tool, and generating an AR teaching material which meets the learning target of the person to be taught and conducts AR teaching through the usable AR teaching tool and the type of the learning resource to be displayed according to the information of the content to be taught, the usable AR teaching tool and the type of the learning resource to be displayed, the interactive element can be further determined, and then generating an AR teaching material which meets the learning target of the person to be taught, uses the usable AR teaching tool, the type of the learning resource to be displayed and conducts AR teaching through the interactive element according to the information of the content to be taught, based on the usable AR teaching tool, the type of the learning resource to be displayed and the interactive element, so that the AR teaching material which is more accurately attached to the teaching task and the target can be further generated.
Wherein, the interactive element includes 1, visual interaction: the AR technology provides a brand new visual experience, so that students can interact with the real environment through AR content. For example, in an AR application, a student may observe, explore, and manipulate 3D models, virtual labs or historical scenes, etc. in the virtual world, interacting with the real world. 2. Gesture control: the AR application may utilize gesture recognition techniques for students to control the behavior and behavior of AR content through gestures. For example, in an AR game, a student can control operations such as movement, attack, etc. of a character by a gesture, or control operations such as movement, rotation, etc. of a laboratory instrument by a gesture in a virtual laboratory. 3. And (3) voice interaction: the AR technology can support a voice recognition function, so that students can interact with AR content through voice. For example, in an AR application, students may control the behavior and performance of AR content through voice commands, or obtain relevant information and answers through voice interactions. 4. Haptic feedback: AR technology can also provide haptic feedback that allows students to feel the feel, shape, and motion of virtual objects. For example, in an AR application, a student may feel the surface texture, morphology, etc. of a 3D model through a touch screen, or feel the smell, temperature, etc. of a virtual laboratory through a gesture controller.
Illustratively, the method further comprises:
before teaching by using the generated AR teaching materials, carrying out a knowledge test on information of content to be taught by a to-be-taught student to obtain a first score;
after teaching by using the generated AR teaching materials, carrying out knowledge testing on information of content to be taught by a to-be-taught student to obtain a second score;
and adjusting a generating model for generating the AR teaching material according to the first score and the second score.
In order to ensure the teaching effect of the AR teaching material, the knowledge mastering degree of a to-be-taught student before and after the AR teaching can be tested, the results of the two tests are compared, the teaching effect of the AR teaching is evaluated, and the generated model of the generated AR teaching material is adjusted through the teaching effect of the AR teaching.
When the knowledge test of the information of the content to be taught is performed by the person to be taught, the knowledge test can be performed by using the following methods including but not limited to, 1, selecting the questions: the knowledge of the students is tested by adding selection questions in the AR scene. After the students view the AR content, they can answer the choice questions related to the content. The selection questions may be displayed directly on a screen or presented in the form of virtual objects. 2. Filling: the AR application may provide a fill question in the AR scene asking the student to fill in the correct answer at the specified place. Students can complete the filling questions by entering answers on the screen or dragging and dropping the correct words or phrases in virtual spaces. 3. Interactive tasks: some interactive tasks are designed that require active participation by students to test their knowledge. For example, in a virtual laboratory, students may perform experimental operations based on learned knowledge, complete specific tasks, and observe results to answer related questions. 4. And (3) scene simulation: creating a scenario simulation in the AR scenario, requiring students to make decisions or solve problems based on the learned knowledge. The student may talk to the avatar, make a selection, and then observe the results and answer. 5. Virtual examination: a complete virtual examination is designed, and the complete virtual examination comprises a plurality of different types of questions such as selection questions, judgment questions, filling questions and the like. Students can complete the examination in the AR scene and evaluate their own learning outcome based on the score obtained.
And then, adjusting a generation model for generating the AR teaching material according to a first score obtained by testing the knowledge of the information of the content to be taught by the to-be-taught person before teaching by using the generated AR teaching material and a second score obtained by testing the knowledge of the information of the content to be taught by the to-be-taught person after teaching by using the generated AR teaching material.
Illustratively, the step of adjusting the generating model for generating the AR teaching material according to the first score and the second score includes:
if the difference between the second score and the first score is greater than a preset difference threshold, the data set for generating the AR teaching material is collected again, and/or the structure and super parameters of the generated model are adjusted, and/or the data processing method of the generated model is increased, and/or the regularization method of the generated model is increased, and/or the integration method of the generated model is increased, and the generated model is retrained and verified until a new generated model with the difference between the second score and the first score being less than or equal to the preset difference threshold is obtained.
When the generating model for generating the AR teaching material is adjusted according to the first score and the second score, if the difference between the second score and the first score is larger than a preset difference threshold, a data set for generating the AR teaching material is collected again, for example, new teaching materials can be added, scene setting is improved, and/or the like, a generating model architecture and super parameters can be adjusted, for example, a network hierarchical structure can be added or deleted, an activation function is modified, a loss function is optimized, and the like, and/or a data processing method of the generating model can be added, for example, a data enhancement technology, a denoising technology and the like can be adopted, the data quality and the model generalization capability can be improved, and/or a regularization method of the generating model can be added, for example, L1, L2 regularization, dropout and the like can be adopted, the model generalization capability is prevented, and/or an integration method of the generating model can be added, for example, a model fusion technology, a migration learning method and the like can be adopted, the model performance and the generalization capability can be improved, and the generating model can be trained and verified again, for example, a method of the generating model can be estimated through a cross verification method and the like, and the performance and the generalization capability of the model can be estimated until the difference between the second score and the preset difference is smaller than or equal to the preset difference between the first score and the new threshold.
Illustratively, the step of adjusting the generating model for generating the AR teaching material according to the first score and the second score includes:
and according to the difference value between the second score and the first score, adjusting relevant generation parameters in the information of the content to be taught, the usable AR teaching tool, the type of learning resources to be displayed and the interactive elements in the generation model.
When the generating model for generating the AR teaching materials is adjusted according to the first score and the second score, related generating parameters in the information of the content to be taught, the usable AR teaching tools, the type of learning resources to be displayed and the interactive elements in the generating model can be adjusted according to the difference value between the second score and the first score.
The step of adjusting relevant generation parameters in the generation model, the information of the content to be taught, the available AR teaching tool, the type of learning resources to be displayed and the interactive element according to the difference between the second score and the first score includes:
if the difference value between the second score and the first score is located in a fourth interval, adjusting relevant generation parameters of one of information of contents to be taught, usable AR teaching tools, learning resource types to be displayed and interactive elements in the generation model;
If the difference value between the second score and the first score is located in a third interval, adjusting related generation parameters of two of information of content to be taught, usable AR teaching tools, learning resource types to be displayed and interactive elements in the generation model;
if the difference value between the second score and the first score is located in the second interval, adjusting related generation parameters of three of information of content to be taught, usable AR teaching tools, learning resource types to be displayed and interaction elements in the generation model;
if the difference value between the second score and the first score is located in the first interval, adjusting relevant generation parameters in information of content to be taught, usable AR teaching tools, learning resource types to be displayed and interactive elements in the generation model;
the second score is greater than or equal to the first score, the upper limit difference value of the first interval is less than or equal to the lower limit difference value of the second interval, the upper limit difference value of the second interval is less than or equal to the lower limit difference value of the third interval, and the upper limit difference value of the third interval is less than or equal to the lower limit difference value of the fourth interval.
If the difference between the second score and the first score is located in the fourth interval, for example, the fourth interval is [45, 60], it is indicated that after the to-be-taught student learns through the AR teaching materials, the knowledge test of the to-be-taught student has a great progress compared with the prior AR teaching materials, and it is further indicated that the AR teaching materials generated by the current generation model are effective enough, and the learning effect of the to-be-taught student is improved, so that only the related generation parameters of one of the to-be-taught content information, the available AR teaching tools, the type of learning resources to be displayed and the interactive elements in the generation model need to be adjusted, the related generation parameters of the to-be-taught content information, the available AR teaching tools, the type of learning resources to be displayed or the interactive elements do not need to be greatly adjusted for the generation model, and the teaching effect of the AR teaching materials generated by the generation model can be further improved only by small adjustment.
If the difference between the second score and the first score is in the third interval, for example, the fourth interval is [30, 45 ], it is indicated that after the learner passes through the learning of the AR teaching material, the knowledge test of the learner has generally advanced compared with the learning of the AR teaching material, and further indicates that the AR teaching material generated by the current generating model is generally effective, so that at this time, the relevant generating parameters of two items of the information of the content to be taught, the usable AR teaching tool, the type of learning resource to be displayed and the interactive element in the generating model need to be adjusted, and only the generating model needs to be adjusted greatly, so as to further improve the teaching effect of the AR teaching material generated by the generating model.
If the difference between the second score and the first score is located in the second interval, for example, the fourth interval is [10, 15 ], it is indicated that after the to-be-taught student learns through the AR teaching material, the knowledge test of the to-be-taught student obtains a small improvement compared with the prior AR teaching material learning, and it is further indicated that the AR teaching material generated by the current generation model is difficult to obviously improve the learning effect of the to-be-taught student, so that at this time, the to-be-taught content information, the available AR teaching tool, the to-be-demonstrated learning resource type and the related generation parameters of three items in the interactive elements in the generation model need to be adjusted, and the generation model is greatly adjusted, so that the teaching effect of the AR teaching material generated by the generation model is further improved.
If the difference between the second score and the first score is located in the second interval, for example, the fourth interval is [15, 30 ], it is indicated that after the to-be-taught student learns through the AR teaching material, the knowledge test of the to-be-taught student hardly changes compared with the learning of the AR teaching material, and it is further indicated that the learning effect of the AR teaching material generated by the current generation model to the to-be-taught student hardly changes, so that at this time, the to-be-taught content information, the available AR teaching tool, the to-be-displayed learning resource type and the related generation parameters in the interactive elements in the generation model need to be adjusted, and the generation model is greatly adjusted, so that the teaching effect of the AR teaching material generated by the generation model is further improved.
Therefore, the teaching effect of the AR teaching materials generated by the generating model is further improved through adjusting the information of the content to be taught, the usable AR teaching tool, the type of learning resources to be displayed and the related generating parameters in the interactive elements in the generating model by the difference value between the second score and the first score, the generation of the low-efficiency and useless AR teaching materials is further avoided, the generation of the effective AR teaching materials is low, and the generation efficiency of the effective AR teaching materials is improved.
Referring to fig. 3, in addition, the embodiment of the application further provides a generating device of AR teaching materials, the generating device of AR teaching materials includes:
the system comprises an acquisition module M1, a storage module and a storage module, wherein the acquisition module M1 is used for acquiring information of content to be taught, wherein the content to be taught comprises a learning target to be achieved by a learner to be taught and/or a related description of knowledge skills to be mastered;
a determining module M2, configured to determine an AR teaching tool that can be used;
the generating module M3 is configured to generate, based on the information of the content to be taught and the available AR teaching tool, an AR teaching material that meets a learning target of the person to be taught and performs AR teaching using the available AR teaching tool.
The generating device of the AR teaching material further comprises an expanding module, wherein the expanding module is used for:
determining a learning resource type to be displayed on an available AR teaching tool, wherein the learning resource type comprises a 3D model, a video, a picture and a game;
based on the information of the content to be taught, the usable AR teaching tool and the type of the learning resource to be displayed, AR teaching materials which accord with the learning target of the person to be taught and use the usable AR teaching tool and conduct AR teaching through the type of the learning resource to be displayed are generated.
Illustratively, the expansion module is further configured to:
determining interaction elements, wherein the interaction elements comprise visual interaction, gesture control, sound interaction and tactile feedback;
based on the information of the content to be taught, the usable AR teaching tool, the type of learning resources to be displayed and the interactive elements, AR teaching materials which accord with the learning target of the person to be taught and use the usable AR teaching tool, and conduct AR teaching through the type of learning resources to be displayed and the interactive elements are generated.
The generating device of the AR teaching material further comprises an adjusting module, wherein the adjusting module is used for:
before teaching by using the generated AR teaching materials, carrying out a knowledge test on information of content to be taught by a to-be-taught student to obtain a first score;
after teaching by using the generated AR teaching materials, carrying out knowledge testing on information of content to be taught by a to-be-taught student to obtain a second score;
and adjusting a generating model for generating the AR teaching material according to the first score and the second score.
Illustratively, the adjustment module is further configured to:
if the difference between the second score and the first score is greater than a preset difference threshold, the data set for generating the AR teaching material is collected again, and/or the structure and super parameters of the generated model are adjusted, and/or the data processing method of the generated model is increased, and/or the regularization method of the generated model is increased, and/or the integration method of the generated model is increased, and the generated model is retrained and verified until a new generated model with the difference between the second score and the first score being less than or equal to the preset difference threshold is obtained.
Illustratively, the adjustment module is further configured to:
and according to the difference value between the second score and the first score, adjusting relevant generation parameters in the information of the content to be taught, the usable AR teaching tool, the type of learning resources to be displayed and the interactive elements in the generation model.
The adjustment module is also used for
If the difference value between the second score and the first score is located in a fourth interval, adjusting relevant generation parameters of one of information of contents to be taught, usable AR teaching tools, learning resource types to be displayed and interactive elements in the generation model;
if the difference value between the second score and the first score is located in a third interval, adjusting related generation parameters of two of information of content to be taught, usable AR teaching tools, learning resource types to be displayed and interactive elements in the generation model;
if the difference value between the second score and the first score is located in the second interval, adjusting related generation parameters of three of information of content to be taught, usable AR teaching tools, learning resource types to be displayed and interaction elements in the generation model;
if the difference value between the second score and the first score is located in the first interval, adjusting relevant generation parameters in information of content to be taught, usable AR teaching tools, learning resource types to be displayed and interactive elements in the generation model;
The second score is greater than or equal to the first score, the upper limit difference value of the first interval is less than or equal to the lower limit difference value of the second interval, the upper limit difference value of the second interval is less than or equal to the lower limit difference value of the third interval, and the upper limit difference value of the third interval is less than or equal to the lower limit difference value of the fourth interval.
The application provides a generating device of AR teaching material adopts the generating method of AR teaching material among the above-mentioned embodiment, aims at improving the generating efficiency of AR teaching material. Compared with the conventional technology, the beneficial effects of the device for generating the AR teaching material provided by the embodiment of the application are the same as those of the method for generating the AR teaching material provided by the embodiment, and other technical features in the device for generating the AR teaching material are the same as those disclosed by the method of the embodiment, so that redundant description is omitted.
In addition, this application embodiment still provides a generating device of AR teaching material, generating device of AR teaching material includes: the system comprises a memory, a processor, and a computer program stored on the memory and executable on the processor, which when executed by the processor, performs the steps of the AR teaching material generation method as described above.
In addition, the embodiment of the application further provides a computer readable storage medium, and the computer readable storage medium stores a computer program, and the computer program realizes the steps of the method for generating the AR teaching material when being executed by a processor.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the conventional technology in the form of a software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above, including several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method described in the embodiments of the present application.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the claims, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application, or direct or indirect application in other related technical fields are included in the scope of the claims of the present application.

Claims (10)

1. The method for generating the AR teaching material is characterized by comprising the following steps:
acquiring information of content to be taught, wherein the content to be taught comprises a learning target to be achieved by a learner to be taught and/or a related description of knowledge skills to be mastered;
determining an AR teaching tool that can be used;
based on the information of the content to be taught and the usable AR teaching tool, AR teaching materials which accord with the learning target of the person to be taught and conduct AR teaching by using the usable AR teaching tool are generated.
2. The method for generating AR teaching material according to claim 1, further comprising:
determining a learning resource type to be displayed on an available AR teaching tool, wherein the learning resource type comprises a 3D model, a video, a picture and a game;
based on the information of the content to be taught, the usable AR teaching tool and the type of the learning resource to be displayed, AR teaching materials which accord with the learning target of the person to be taught and use the usable AR teaching tool and conduct AR teaching through the type of the learning resource to be displayed are generated.
3. The method for generating AR teaching material according to claim 2, further comprising:
determining interaction elements, wherein the interaction elements comprise visual interaction, gesture control, sound interaction and tactile feedback;
based on the information of the content to be taught, the usable AR teaching tool, the type of learning resources to be displayed and the interactive elements, AR teaching materials which accord with the learning target of the person to be taught and use the usable AR teaching tool, and conduct AR teaching through the type of learning resources to be displayed and the interactive elements are generated.
4. The method for generating AR teaching material according to claim 1, further comprising:
before teaching by using the generated AR teaching materials, carrying out a knowledge test on information of content to be taught by a to-be-taught student to obtain a first score;
after teaching by using the generated AR teaching materials, carrying out knowledge testing on information of content to be taught by a to-be-taught student to obtain a second score;
and adjusting a generating model for generating the AR teaching material according to the first score and the second score.
5. The method for generating AR teaching materials according to claim 4, wherein the step of adjusting the generation model for generating AR teaching materials according to the first score and the second score comprises:
If the difference between the second score and the first score is greater than a preset difference threshold, the data set for generating the AR teaching material is collected again, and/or the structure and super parameters of the generated model are adjusted, and/or the data processing method of the generated model is increased, and/or the regularization method of the generated model is increased, and/or the integration method of the generated model is increased, and the generated model is retrained and verified until a new generated model with the difference between the second score and the first score being less than or equal to the preset difference threshold is obtained.
6. The method for generating AR teaching materials according to claim 4, wherein the step of adjusting the generation model for generating AR teaching materials according to the first score and the second score comprises:
and according to the difference value between the second score and the first score, adjusting relevant generation parameters in the information of the content to be taught, the usable AR teaching tool, the type of learning resources to be displayed and the interactive elements in the generation model.
7. The method for generating AR teaching materials according to claim 6, wherein the step of adjusting relevant generation parameters in the generation model, the AR teaching tool to be used, the learning resource type to be displayed, and the interactive element according to the difference between the second score and the first score includes:
If the difference value between the second score and the first score is located in a fourth interval, adjusting relevant generation parameters of one of information of contents to be taught, usable AR teaching tools, learning resource types to be displayed and interactive elements in the generation model;
if the difference value between the second score and the first score is located in a third interval, adjusting related generation parameters of two of information of content to be taught, usable AR teaching tools, learning resource types to be displayed and interactive elements in the generation model;
if the difference value between the second score and the first score is located in the second interval, adjusting related generation parameters of three of information of content to be taught, usable AR teaching tools, learning resource types to be displayed and interaction elements in the generation model;
if the difference value between the second score and the first score is located in the first interval, adjusting relevant generation parameters in information of content to be taught, usable AR teaching tools, learning resource types to be displayed and interactive elements in the generation model;
the second score is greater than or equal to the first score, the upper limit difference value of the first interval is less than or equal to the lower limit difference value of the second interval, the upper limit difference value of the second interval is less than or equal to the lower limit difference value of the third interval, and the upper limit difference value of the third interval is less than or equal to the lower limit difference value of the fourth interval.
8. The device for generating the AR teaching material is characterized by comprising the following components:
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring information of content to be taught, and the content to be taught comprises a learning target to be achieved by a learner to be taught and/or a related description of knowledge skills to be mastered;
the determining module is used for determining the usable AR teaching tool;
the generating module is used for generating AR teaching materials which accord with the learning target of the to-be-taught person and conduct AR teaching by using the usable AR teaching tool based on the to-be-taught content information and the usable AR teaching tool.
9. The generation equipment of AR teaching material, its characterized in that, the generation equipment of AR teaching material includes: memory, a processor, and a computer program stored on the memory and executable on the processor, which when executed by the processor, performs the steps of the method of generating AR teaching material according to any of claims 1 to 7.
10. A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, which when executed by a processor, implements the steps of the AR teaching material generation method according to any of claims 1 to 7.
CN202410098214.0A 2024-01-23 2024-01-23 AR teaching material generation method, device, equipment and medium Pending CN117854339A (en)

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