66 results about "Virtual teaching" patented technology

The invention discloses a multi-mode interactive virtual teaching method and system. The method comprises the following steps: acquiring multi-source data; extracting voice data acoustic features, and inputting the voice data acoustic features into a learning model to obtain a text triple; key terms are extracted from the text data, a traceable operation chain is generated, semantic analysis is carried out, and an operation scheme is output in combination with a knowledge graph; performing abnormal state recognition on the image data through a target detection model, positioning abnormal equipment in combination with a character recognition model, performing action mapping through gesture recognition and a spatial constraint rule, and outputting a corresponding instruction; fusing the three types of outputs to generate a scheduling event chain; and performing semantic analysis, evaluation and optimization on the scheduling event chain, interacting with personnel, updating operation suggestions and providing an operation analysis result. According to the method, manual rechecking requirements are reduced through multi-modal data collaboration, a new man-machine interaction database and a new man-machine interaction standard in the power industry can be formed through multi-modal interaction rules and event chain construction, and data intelligent driving is achieved while the training efficiency is improved.

The invention relates to the technical field of electric power work teaching, in particular to an electric power work teaching-oriented multi-modal data fusion VR scene automatic modeling method, which can efficiently and accurately extract key semantic information related to electric power work from multi-modal data through a deep learning-driven semantic recognition and label generation method, so as to improve the teaching efficiency of the electric power work. Multi-modal fusion is carried out by introducing a graph neural network structure, the problems of data splitting, semantic missing, scene stiffness and the like in a traditional modeling mode are effectively solved, comprehensive transition from low-level perception to high-level understanding is achieved, a generated three-dimensional VR scene model is closer to a real electric power operation environment, and teaching efficiency is improved by automatically generating and embedding teaching scripts. According to the system, the virtual teaching content is highly consistent with the actual operation process, the problems of subjectivity and inconsistency in the traditional manual script input process are effectively avoided, and the visualization effect and the real-time response capability of a teaching scene are effectively improved.

The invention discloses a virtual teaching environment construction and feedback adjustment method and device based on immersion interaction, and relates to the technical field of virtual teaching. The virtual teaching environment construction and feedback adjustment method and device based on immersion interaction comprises the following steps: S1, obtaining class teaching behavior data, and preprocessing the class teaching behavior data; s2, constructing a content label vector, screening a candidate set, performing joint quantitative analysis on an adaptation relationship between recommended contents and students, and labeling a recommended state label of each recommended content; s3, collecting interaction feedback of the teacher to construct a recommendation interaction log, and analyzing the adaptation deviation degree of the recommendation content in the teaching scene; and S4, quantitatively analyzing recommended response fluctuation intensity, grading response fluctuation states, and triggering self-adaptive adjustment of weights according to fluctuation grading. The problem of misjudgment caused by difficulty in judging whether the recommended content is suitable for the student level by a teacher is solved.

The invention provides a virtual teaching platform compatible with an intelligent teaching aid and an interdisciplinary teaching method, and relates to the technical field of virtual reality and teaching, the virtual teaching platform comprises a teaching aid linkage system, an entity system and a simulation system, the entity system comprises an entity teaching aid, a control module and an information acquisition module, the information acquisition module is used for acquiring teaching information of an entity teaching aid in real time. The control module is used for controlling operation of the entity teaching aid. The simulation system comprises a virtual teaching aid, a simulation engine and an information storage module, the virtual teaching aid is arranged corresponding to an entity teaching aid, the simulation engine is used for controlling the virtual teaching aid to perform analogue simulation training, the information storage module is used for storing historical test data of the virtual teaching aid, and the problem of data separation between the entity teaching aid and a virtual environment is solved. The control instruction of the student in the simulation engine can drive the real entity teaching aid to execute, and the entity teaching aid can also be mapped to the virtual teaching aid for synchronous operation.

The invention relates to the technical field of AI evaluation, in particular to a post competency AI evaluation system and a post competency AI evaluation method, the post competency AI evaluation system comprises an intelligent scanning layer, a diagnosis decision-making layer, a talent development prediction layer, an education optimization layer and a data closed-loop feedback module, and the intelligent scanning layer comprises a multi-modal biological characteristic acquisition module and a dynamic ability modeling module; the talent development prediction layer comprises a capability-post matching engine and a demission risk early warning unit; the education optimization layer comprises a course reform simulator and a virtual teaching and research room; compared with the defects that in the prior art, single questionnaire or static video analysis is relied on, the evaluation dimension is one-sided, and subjective interference is likely to happen, the scheme synchronously integrates three types of biological characteristics of facial micro-expression (52 key point tracking), writing force waveform (1000 Hz pressure sense) and VR situation response (1200 + scene library), and the evaluation accuracy is improved. Holographic dynamic capture of a candidate cognitive mode, anti-pressure ability and actual combat response is realized, and objectivity and ecological validity of competency evaluation are remarkably improved.

The invention relates to the technical field of digital media art teaching, and discloses a digital media art teaching system constructed by fusing a virtual reality technology. A teaching state evaluation unit of the system comprises a plurality of student creation state acquisition subunits corresponding to student terminals, and can synchronously acquire multi-dimensional state information in a plurality of student creation processes, and a teaching balance degree judgment unit determines a teaching balance degree based on an acquisition result; the virtual creation environment construction unit judges whether to start three-dimensional scene acquisition or not according to the teaching balance degree, and acquires adaptive virtual creation scene data when judging that the three-dimensional scene acquisition is started; and the teaching strategy decision-making unit generates an optimal teaching path plan based on the virtual creation scene data, and adjusts virtual teaching scene parameters according to the optimal teaching path plan. The system can realize accurate monitoring of student creation states, targeted construction of a virtual environment and dynamic optimization of teaching strategies, and assists in improving digital media art teaching quality and student creation ability.

The application discloses a kind of Chinese ancient dress recovery design virtual simulation teaching system, it is related to virtual teaching technical field, including wearing action end, dress understanding end and teaching difference end, wearing action end is used to judge in time and real-time student interactive action and clothing wearing action deviation Real-time correction;Dress understanding end is used to judge true and false for the content of different dress meaning transmission of virtual AI digital person;Teaching difference end is used to carry out difference teaching management according to different score students, until teaching mastery is in standard range End.The Chinese ancient dress recovery design virtual simulation teaching system avoids the problem that clothing wearing action and virtual clothing are not closely fitted and wearing and taking off action is not accurate in the interaction process, prevents the problem that students are difficult to truly understand the meaning and value carried by ancient dress, avoids the problem that the individual difference of students cannot comprehensively realize teaching mastery.

The invention discloses an interactive classroom teaching system based on a virtual reality technology, and particularly relates to the technical field of education. The problems that an existing virtual teaching environment is rigid, multi-user operation conflicts exist, physical feedback is missing, and the evaluation dimension is single are solved. According to the invention, a virtual classroom topological structure is dynamically recombined, physical rationality of cooperative operation is realized by combining multi-level authority control and a conflict arbitration algorithm, and self-adaptive tactile feedback and an operation track intelligent analysis module are integrated. And finally, seamless switching of interdisciplinary scenes, improvement of the reality sense of multi-user operation, teaching evaluation accuracy optimization and cross-platform smooth interaction are realized.

This application relates to a method and system for training neurosurgical specialist nurses based on a virtual teaching and research room. The method includes: acquiring patient data and clinical scenario parameters corresponding to preset neurosurgical training tasks from a medical database; constructing a virtual training environment using virtual simulation technology based on the patient data and clinical scenario parameters; collecting user interaction behavior data in real time through a sensor network deployed in the environment; analyzing the behavior data in real time and driving the virtual environment to generate real-time feedback effects; identifying key operation points using a pre-trained LSTM analysis model based on the behavior data and feedback effects; and generating a training feedback report based on the key operation points. This method can improve the realism of neurosurgical specialist nurses' operations in the virtual environment, the assessability of the training process, and the real-time nature of feedback, effectively assisting in professional skills training and assessment.

The invention discloses an AIOT-based smart garden virtual-real collaborative teaching training method and system, and belongs to the technical field of AIOT. The method comprises the following steps: performing grid division on a target smart garden site area, constructing teaching practical training sub-areas, deploying multi-source environment sensing equipment in each sub-area, collecting soil humidity, environment temperature, air humidity and illumination intensity, synchronously mapping the soil humidity, the environment temperature, the air humidity and the illumination intensity to a virtual teaching environment, and constructing a virtual practical training unit; comprehensive evaluation and fluctuation factor calculation are carried out on the multi-dimensional environment data in the virtual practical training unit, a dynamic allowable fluctuation interval is constructed, comparison analysis is carried out on the environment data of adjacent sampling time points, and when abnormal fluctuation is detected, early warning is triggered and dynamic teaching practical training is carried out in a linkage mode. The perceptible, evaluable and respondable garden teaching environment state is realized, and the authenticity, interactivity and practical teaching effect of teaching practical training are improved.

The invention discloses a refined behavior recognition method and system for a virtual teaching scene, and solves the technical problem that the precision of a final behavior recognition result is poor due to an existing refined behavior recognition method for the virtual teaching scene. The method comprises the steps that a virtual teaching scene behavior image is acquired, the virtual teaching scene behavior image is input into a behavior measurement model based on multilayer perception self-adaption, and the behavior measurement model based on multilayer perception self-adaption comprises a feature extraction network, a feature enhancement network and a posture decoding network; performing multi-scale feature extraction on the virtual teaching scene behavior image through a feature extraction network, and outputting multi-scale fusion features; performing feature enhancement on the multi-scale fusion features by adopting a feature enhancement network, and outputting target enhancement features; and inputting the target enhanced feature into a posture decoding network for posture decoding, and generating a behavior recognition result.

The invention relates to an educational resource overall management method and system based on an artificial intelligence data technology, and relates to the field of educational resource management technologies, and the method comprises the steps: obtaining a required teaching course, a feasible place set, and an overall curriculum schedule; determining a monomer allocation scheme according to each required teaching course; constructing an overall distribution scheme under the monomer distribution scheme of each teaching time period; determining a virtual class site in the overall distribution scheme according to the overall curriculum schedule, and determining an adjacent migration distance according to the virtual class site of the adjacent teaching time period; determining migration monomer parameters according to adjacent migration distances, and determining migration overall parameters according to all migration monomer parameters of the same student; and determining scheme evaluation parameters according to the migration overall parameters of all students, and defining the overall allocation scheme corresponding to the maximum scheme evaluation parameter as a reasonable use scheme. According to the invention, the situation of unfair distribution of educational resources is reduced.

1. The name of the design product: virtual tutorial teaching graphical user interface of electronic equipment. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the interface content in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The product carrier is the conventional design, and the rear view, left view, right view, top view, and bottom view are omitted. 6. The use of the graphical user interface: for virtual teaching assistance. 7. The human-computer interaction mode of the graphical user interface: the front view is a classroom interface with interesting questions, each portrait in the interface represents a subject, in the interface, slide any portrait to the center of the screen to select the portrait, then click "Confirm Selection" to enter change state diagram 1, the question and answer interface of the subject represented by the portrait, in the interface, click the "Microphone" icon below the interface to input your question through voice and enter change state diagram 2 for interaction.

The present disclosure discloses a hybrid teaching method, system and electronic device, which collects point cloud data of a teaching environment and pre-processes the data, generates a point cloud scene model by using a decoupling sparse prior guided diffusion compression model, improves display quality by using an adversarial diffusion compression, deploys a teaching management system based on a micro-service architecture to realize multi-user real-time interaction, collects interaction behavior data and performs deep learning analysis to generate an evaluation report. The present disclosure greatly improves the construction efficiency and image quality of the virtual teaching environment through point cloud processing and image optimization methods, and realizes the distributed deployment and real-time interaction capability of the teaching platform, providing technical support for hybrid teaching.

The invention discloses an immersive online teaching system based on element universe, relates to the technical field of online teaching, and provides a high-precision teaching system formed by constructing a three-dimensional modeling module, a particle force field simulation module, a light effect simulation module and a comprehensive evaluation module. Through carrying out structure labeling on a key assembly area, introducing a microscopic particle force field to realize a real physical response, dynamically generating an optical behavior based on particle distribution, and fusing real-time error analysis and graded teaching intervention, the problems of assembly mode penetration, lighting effect distortion and feedback lag in a traditional system are effectively solved. And the interactive authenticity, the operation accuracy and the teaching intelligence level of virtual teaching are remarkably improved.

The present invention discloses a VR teaching experience enhancement system and method, which belongs to the field of virtual teaching technology. The method specifically includes: collecting position data and posture data of trainees in the VR environment, constructing a multi-user coordinated interaction model based on the position data and posture data of the trainees in the VR environment, identifying the interaction relationship and interaction events between the trainees, generating tactile feedback data corresponding to the interaction events based on the interaction events, performing calibration processing on the tactile feedback data, and synchronously sending the calibrated tactile feedback data to the trainee's VR device, the calibration processing including adjusting the tactile feedback data based on the spatial propagation difference amount and tactile feedback time offset value of the trainee; the present application enables multiple trainees to obtain consistent, real-time tactile response and spatial perception when collaboratively operating the same virtual object or scene, thereby improving the teaching experience in multi-person collaborative scenarios.

The invention relates to the technical field of data processing, in particular to a computer virtual system for teaching based on data fusion, and the system comprises a data processing module which collects multi-source teaching data and carries out the preprocessing of the multi-source teaching data, and obtains multi-source teaching features; the scene generation module fuses the multi-source teaching features through a fusion algorithm to obtain a feature fusion result, and constructs a scene in combination with teaching scene requirements to obtain a virtual teaching scene; the interaction module is used for applying the virtual teaching scene to a computer so that teachers and students can carry out interactive teaching; the weight adjustment module is used for determining the minimum adaptation amount of the multi-source teaching core feature weight according to the matching deviation ratio of the feature fusion result and the teaching scene; the association adjustment module is used for determining a multi-source feature missing complementary association adaptation value according to the missing rate of the multi-source teaching data; and the gradient adjustment module is used for determining the fluctuation smooth gradient calibration degree of the multi-source teaching data according to the noise data proportion of the multi-source teaching data. According to the invention, the construction effectiveness of the virtual teaching scene is improved.

The invention discloses an animal anatomy virtual simulation teaching system, and belongs to the technical field of animal anatomy simulation teaching. Comprising a central data bus, and a modal data acquisition and processing module, a species adaptive model establishment module, a dynamic physiological behavior simulation module, a tactile feedback interaction enhancement module, an ecological behavior pathology simulation module, a teaching content management and evaluation module and a distributed cooperation module which communicate with the central data bus. According to the invention, by collecting CT, MRI, laser scanning, motion capture and biomechanical sensing multi-source data, a multi-species anatomical model is constructed, physiological linkage, tissue touch, pathological behaviors and ecological reactions are simulated, multi-user collaborative operation and ethical evaluation are supported, and a high-immersion, high-interaction and high-adaptation virtual teaching environment is realized.

The invention relates to a multimedia teaching method and system based on virtual reality, and the method comprises the steps: constructing a virtual teaching scene containing a teaching object and a light source, and obtaining the interaction data of a learner; for a teaching object meeting a preset attention condition, calculating a half-path vector of a sampling point on the surface of the teaching object, and when a learner performs specific observation interaction on the object, adjusting a specular reflection visual parameter of the half-path vector; adjusting a calculation parameter set and a coloring contribution weight of a geometric shielding function of the teaching object according to a preset teaching target of the teaching object and the state of the learner; dividing teaching objects into a core rendering group and an auxiliary rendering group based on teaching importance and interactive focuses of learners; the core group object adopts full-precision illumination containing complete geometric shielding function calculation, and the auxiliary group object adopts simplified illumination; the grouping state is dynamically updated along with the learning module and interactive focus transfer; and rendering the visual performance of the teaching object, and displaying the visual performance through virtual reality equipment.

A computing system is provided. The computing system may be configured or programmed to: i) communicate with a trainee computing devices to present a virtual instructional environment; ii) receive sensor data from at least one of the trainee computing device associated with the trainee and a client computing device associated with a client; iii) evaluate the current interaction between the trainee and the client by applying the received sensor data associated with the current interaction to a trained instructional recommendation model to generate an instructional recommendation message including a script for the trainee to communicate during the current interaction; and iv) present, within the virtual instructional environment, the instruction message

The application relates to the technical field of medical simulation teaching, in particular to a virtual teaching system of a bronchoscope. An acquisition module first acquires the multi-modal operation data of a target operator on a virtual bronchoscope collected in real time through a VR device. An evaluation module generates a capability profile and determines a weak point in capability in combination with the multi-level branch anatomical features and respiratory physiological features of a bronchus. An adjustment module selects training content matched with the capability profile and the weak point in capability from a training library. An interaction module visualizes the operation suggestions of a teacher and superimposes the operation suggestions on the display interface of the VR device through an AR device to dynamically update the display parameters. The application provides targeted teaching scenes for target operators with different degrees of proficiency in combination with the VR device and the AR device, improves the training efficiency and clinical conversion rate, and reduces the understanding difficulty of the target operator based on the visual guidance of the teacher, thereby improving the teaching efficiency of bronchoscope operation.

The invention relates to the field of virtual teaching, in particular to a virtual teaching device and a teaching method. The invention discloses a virtual teaching device and a teaching method, and the device comprises a teaching platform, two sides of the teaching platform are respectively provided with two first electric push rods, a lifting frame is fixedly connected between the telescopic ends of the four first electric push rods, the lifting frame is provided with a transverse plate, the transverse plate is provided with a rotating disc, one side of the rotating disc is fixedly connected with a swing arm, and the swing arm is provided with a sliding groove. Second electric push rods are rotationally connected to the inner sides of the lifting frames, connecting pieces are arranged at the telescopic ends of the second electric push rods, and the connecting pieces are slidably connected with the sliding grooves. Through the teaching platform and the naked eye 3d equipment, the growth state and other complex processes of the plant are visually presented in a 3D mode, students can clearly observe details of all steps, understanding deviation caused by fuzzy operation in a traditional experiment is avoided, meanwhile, the virtual simulation technology can skip the plant growth cycle and directly display results after operation, the teaching cost is reduced, and the teaching efficiency is improved. And the learning interest and efficiency are improved.

The invention provides an infant teacher practical training supervision system and method, and relates to the field of education technology and artificial intelligence cross technology, and the system comprises an AR scene simulation module which is used for constructing a virtual infant teaching scene with a self-adaptive teaching scene; the multi-modal sensing array module is used for synchronously collecting multi-modal teaching characteristics of a teacher; the teaching ability evaluation module is used for evaluating the teaching ability of the teacher through a preset teaching behavior evaluation model based on the multi-modal teaching characteristics of the teacher and the real-time feedback data of the virtual child roles; and the intelligent intervention module is used for generating AR visual prompt information containing specific improvement measures according to the teaching ability evaluation result of the teacher, and displaying the AR visual prompt information in the virtual teaching scene in real time through the AR scene simulation module. According to the invention, the problems of lack of real-time guidance and insufficient interactive feedback in the prior art are solved.

This invention belongs to the technical field of virtual teaching modeling methods, and particularly relates to a 3D reconstruction method for ship virtual teaching modeling. It includes the following steps: establishing a point cloud data coordinate system, optimizing the feature points of the ship's spatial contour, optimizing the feature points and non-feature points, updating the point cloud data based on the aforementioned steps, and generating a ship scene model based on the Possion surface reconstruction method. This 3D reconstruction method for ship virtual teaching modeling is mainly used in the 3D reconstruction modeling of large equipment such as ships based on point cloud data. It improves problems such as point position offset and line direction errors in the point cloud generation process of various equipment within the ship, while optimizing the distribution of point cloud data during reconstruction. By reducing the density of low-feature point cloud data, the total amount of point cloud data is reduced, decreasing the load on system resources, while increasing the proportion of high-feature point clouds, optimizing the performance of point cloud data, and improving the display performance of the reconstructed image.

The application relates to the technical field of teaching management, and discloses a wisdom teaching system and a construction method based on a knowledge graph and virtual simulation, which aims to effectively solve the problem of teaching resource integration and management and provide personalized teaching experience. The system comprises a knowledge graph construction module, which is used for integrating and standardizing teaching resources and constructing a knowledge graph comprising knowledge points and their correlation; a virtual simulation teaching module, which displays knowledge points in the form of virtual simulation by constructing a knowledge presentation model and an interactive learning model and evaluates student learning conditions; an intelligent teaching control module, which adopts a reinforcement learning algorithm to construct a teaching strategy model and dynamically adjusts teaching instructions according to student learning progress and interactive effects; and an execution presentation module, which is responsible for receiving and executing teaching instructions and presenting teaching content in a virtual teaching environment. The system improves the pertinence and effectiveness of teaching and stimulates the learning interest of students.

The application relates to the technical field of digital media art teaching, and discloses a digital media art teaching system constructed by fusing virtual reality technology. A teaching state evaluation unit of the system comprises a plurality of student creation state acquisition subunits corresponding to student terminals, can synchronously acquire multidimensional state information in a plurality of student creation processes, and a teaching balance degree judgment unit determines the teaching balance degree based on acquisition results; a virtual creation environment construction unit determines whether to start three-dimensional scene acquisition according to the teaching balance degree, and acquires adaptive virtual creation scene data when it is determined to start; and a teaching strategy decision unit generates an optimal teaching path plan based on the virtual creation scene data, and adjusts virtual teaching scene parameters according to the optimal teaching path plan. The system can realize accurate monitoring of student creation states, targeted construction of virtual environments and dynamic optimization of teaching strategies, and helps improve the quality of digital media art teaching and the creation ability of students.

The invention relates to the technical field of virtual teaching, and discloses a data processing method and system for virtual physical education teaching, and the method comprises the steps: collecting and preprocessing the exercise data of a learner; analyzing the difference between the action posture of the learner and the standard action; predicting a skill forgetting rule of the learner; generating a personalized review strategy; executing a self-adaptive learning forgetting review closed-loop process; the motion recognition accuracy is improved through multi-source data fusion, skill attenuation is predicted through a personalized forgetting curve, the optimal review strategy is generated through reinforcement learning, the technical problems that in virtual physical education, the motion capture accuracy is insufficient, skill forgetting is difficult to predict, and the review strategy lacks personalization are solved, and the virtual physical education teaching experience is improved. The learning efficiency and the skill retention rate are improved.

The invention discloses a middle and primary school language learning auxiliary method based on interaction of an education large model and a digital human, and the method comprises the steps: collecting middle and primary school language learning data, and carrying out the preprocessing of the collected language learning data; generating a corresponding student personalized language learning file; a language knowledge graph is constructed, the language knowledge graph covers multi-dimensional knowledge information of vocabularies, grammar and sentence patterns, and a mapping relation is established between the language knowledge graph and language learning features; forming an adaptive teaching scheme; the digital human virtual teaching assistant performs real-time voice, text and expression interaction with the students by using a multi-mode interaction technology, and adjusts an interaction strategy according to real-time feedback of the students; and the called language knowledge graph dynamically supplements the context of the students, so that situational language teaching is realized, and a real communication environment is simulated in a multi-language application scene. The language migration ability and the communication application level of students are effectively improved.

1. The name of the design product: Virtual teaching inquiry platform (liftable naked eye 3D). 2. The use of the design product: Used in virtual reality teaching scenes such as medical operation simulation and pathological gross inquiry, belongs to the product of educational technology equipment. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view 1.