99 results about "Instructional efficiency" patented technology

The invention relates to the technical field of XR extension, and discloses an XR augmented reality-based educational culture multi-mode interactive learning system, which comprises a culture scene intelligent construction module used for constructing an interactive historical scene through LiDAR scanning, ancient books and literature and AI generation technologies, dynamically associating cultural relics, buildings, historical events and scientific principles based on a knowledge graph technology, and establishing a multi-mode interactive learning model based on the knowledge graph technology; the multi-modal interactive learning system comprises an AR (Augmented Reality) subsystem, a VR (Virtual Reality) deep learning workshop, an AI (Artificial Interaction) real-time error correction function and an interdisciplinary fusion education platform, wherein the AR subsystem supports scanning textbooks to trigger a 3D (Three-Dimensional) scene and explores an internal structure of a cultural relic through gesture operation, and the VR deep learning workshop provides force feedback gloves to simulate non-abandoned tool operation and AI (Artificial Interaction) real-time error correction function. According to the educational culture multi-mode interactive learning system based on the XR augmented reality, visual interaction of historic building mechanical analysis and process mathematical modeling is achieved, a cross-region cooperation space is achieved, the educational culture multi-mode interactive learning system based on the XR augmented reality forms a dynamic optimization closed loop, and the teaching efficiency and the learning effect are remarkably improved.

The invention relates to the technical field of intelligent education, and discloses an innovation ability dynamic evaluation system and method based on multi-dimensional data fusion analysis, and the system comprises a process data collection module, a literacy feature extraction module, a dynamic evaluation engine and a teaching intervention engine. The method corresponds to the system. According to the method, multi-dimensional, dynamic and accurate evaluation of the innovation ability of the students is realized by constructing a complete data processing and evaluation closed loop, and specifically, performance characteristics of the students in innovation practice can be comprehensively captured by fusing and analyzing online and offline multi-modal process data; by means of a multi-mode cross-domain time sequence fusion model, dynamic tracking of the innovation ability development trajectory is achieved; finally, a personalized teaching intervention strategy is generated based on an evaluation result, a complete teaching closed loop of evaluation-diagnosis-intervention is formed, and the accuracy and teaching efficiency of innovative talent training are improved.

The invention discloses a teaching practical training system and method based on the Internet of Things, and relates to the technical field of teaching management. According to the teaching practical training system and method based on the Internet of Things, the learning behavior data of the students are monitored in real time through the Internet of Things, the learning behavior characteristics of the students are extracted through clustering analysis, and the learning mode is recognized. And according to the learning mode of the student, behavior modes of other students are matched through a collaborative filtering algorithm, and a learning adaptability index is obtained, so that learning resources and task contents are dynamically adjusted. By comprehensively analyzing the learning mode and the adaptability index of the student, the learning progress and resource allocation of the student are coordinated, and the teaching task arrangement is optimized, so that the teaching efficiency and the learning experience of the student are improved. And based on the learning behavior data and the learning mode of the student, establishing an association relationship among the student, the learning resource and the task content through a graph construction algorithm, generating a knowledge graph between the student and the knowledge point, and realizing visual display of the learning state, progress and path.

The invention provides a multi-classroom remote interaction system, which can realize more efficient interactive teaching in a multi-classroom sharing scene. A teacher gives a lesson in one classroom, and other classrooms synchronously participate in the same classroom through a screen sharing technology, so that a plurality of classrooms share a course, the classroom coverage is expanded, and the teaching efficiency can be improved. The interactive system disclosed by the invention runs in a browser environment, has extremely high multi-terminal compatibility, and can realize multi-screen interaction through a webpage embedding technology no matter in an Android, an iOS mobile terminal or a PC terminal, so that the requirements of different terminal devices are met. Teachers and students can directly access the classroom through the browser without additionally downloading software, so that more convenient and efficient interactive teaching can be experienced.

The invention relates to the technical field of wisdom education, and discloses a large model construction method supporting an English subject education whole process scene. According to the method, a database comprising a knowledge point library, a text material library, a knowledge point explanation courseware library and a test question library and a task corpus for teaching material editing before teaching, courseware generation in teaching and test paper making after teaching are constructed, and three index evaluation systems of a knowledge point recommendation index, an important index and an interest index and three scene matching degree calculation models F1, F2 and F3 are combined; and intelligent generation of teaching content is realized. Through the content generation mode and the dynamic optimization mechanism based on the accurate mathematical model, pertinence, accuracy and individuation degree of teaching content generation are improved, and effective technical support is provided for improvement of teaching efficiency and realization of individualized teaching.

The invention relates to a classroom abnormal behavior intelligent detection and teaching intervention system, and the system comprises a data collection layer which is used for obtaining multi-modal data in a student classroom; the multi-modal data comprises a student classroom performance image set and sound signals of corresponding time; the data standardization layer is used for carrying out preprocessing and time synchronization on the multi-modal data to obtain standardized multi-modal data; the abnormal behavior detection layer is used for inputting the standardized multi-modal data into a behavior state classification model to obtain a behavior classification result; the behavior classification result comprises a behavior type, behavior duration and an intervention level label; the intervention decision-making layer is used for generating a teaching intervention instruction by utilizing the behavior classification result based on intervention decision-making logic; the teaching intervention instruction comprises a system prompting instruction and a teacher intervention reminding instruction. By adopting the system, behaviors of students can be identified and classified, targeted intervention is performed, the classroom teaching efficiency is improved, and the system assists in reminding the students to quickly return to a normal learning state.

The invention discloses a classroom teaching interaction system, and relates to the technical field of teaching systems.The classroom teaching interaction system comprises the steps that firstly, classroom teaching modes are created for users to conduct interactive learning; performing analysis based on the teaching basic information of each teacher and the classroom basic information of each student to obtain each skilled classroom teaching mode, each learning concentration time period and each non-learning concentration time period of each teacher; the classroom teaching modes of teachers in the classroom, each learning concentration time period and each non-learning concentration time period are adjusted, the teaching mode is implemented in each learning concentration time period, and the group discussion mode is implemented in each non-learning concentration time period, so that the depressed classroom atmosphere is broken; the learning enthusiasm and interestingness of students are aroused to improve the classroom teaching efficiency, and finally the information of each module is stored in the terminal equipment, so that a foundation is laid for the upgrading of the subsequent classroom teaching interaction system, and the long-term development of the classroom teaching interaction system is also facilitated.

The invention belongs to the field of artificial intelligence, and relates to a teaching interaction preemptive answer positioning method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a set of video frame sequences and a corresponding mixed audio file; key frames in the set of the video frame sequences are identified, feature extraction is carried out, short-time Fourier transform is carried out on the mixed audio, and then feature extraction is carried out on the audio; performing multi-modal fusion to generate an audio mask; calculating momentum information of continuous video frames and generating momentum embedding, and performing spectrum embedding processing according to the audio mask; a momentum sensing Transform module is input, and sequence information is generated; performing residual fusion to generate a spectrum mask; and generating a visual sound source localization map. The positioning accuracy is improved by multi-modal fusion, the time sequence sensitivity is enhanced by momentum embedding and frequency spectrum embedding, the feature integration is optimized by residual fusion, the intuition is enhanced by a visual sound source positioning graph, the interactivity and interestingness of learning are enhanced, and the teaching efficiency and quality are improved.

The invention focuses on artificial intelligence to be applied to the field of education, aims to solve the problems of a traditional education method and an existing artificial intelligence teaching assisting device, and provides a generative artificial intelligence teaching assisting system and a miniaturized device. According to the system, by means of a high-performance cloud server, a teaching assisting system client is built, a cloud resource library with classified storage, encryption management and rich resources is built, and a teaching feedback subsystem supporting multi-form feedback and intelligent analysis is developed. An advanced generative artificial intelligence program and a large model are accessed, and operations such as data preprocessing, training fine tuning, evaluation optimization, integration fusion and security privacy protection are carried out. The client application process comprises the links of receiving a registration request, selecting a teaching stage and a school category, establishing a file, uploading data, sending a resource demand instruction, calling and distributing resources and the like. The system has multiple functions of personalized teaching analysis, intelligent question and answer and the like. The beneficial effects are obvious, the miniaturization design is convenient for carrying and deployment, and the hardware cost is reduced; the teaching efficiency and quality are improved through multiple functions; the cloud architecture realizes resource sharing optimization and promotes artificial intelligence program learning; the teaching feedback subsystem enhances communication; the unique algorithm trains the accurate feedback capability, and provides powerful support for the technological innovation and development of the education industry.

The invention discloses a structural analysis literacy method, which comprises the following steps of: (a) literacy analysis: activating understanding through object association, context sentence making and culture traceability, and demonstrating in combination with an ancient character form and a wooden teaching aid; (b) disassembling strokes: decomposing a stroke sequence by using a magnetic gradient teaching aid, and triggering an acousto-optic alarm when the stroke order is wrong; (c) combined writing: training in three stages of hard pen and soft pen, and performing standard detection by means of stroke sticky notes and standard character grids; and (d) multi-modal strengthening: consolidating memory through activities such as puzzle and relay match, and carrying out personalized review based on the wrong character file. According to the technology, a gradient magnetic teaching aid, a three-dimensional evaluation matrix and multi-modal training are integrated, so that the time consumed for mastering a single character is shortened from 12.5 minutes to 6.8 minutes, the stroke error rate is reduced from 18.3% to 4.1%, the repeated practice frequency is reduced by 59% compared with that of a traditional tracing method (5.3 times reach the standard), the teaching efficiency is remarkably improved, and the GB / T 30240-2013 standard requirement is met.

According to the stress analysis method and system for physics teaching provided by the invention, through integration of a parameterized virtual experiment template, physical simulation engine real-time solution, stress intelligent analysis and a multi-modal dynamic visualization technology, abstract mechanical concepts and relationships can be converted into visual, dynamic and interactive visual graphical representation and data flow; the problems that in traditional teaching, stress analysis is static and abstracted, and real-time data association and interactivity are lacked are effectively solved. The system not only can automatically and intelligently judge and mark the power or resistance attribute according to the relationship between the friction force direction and the object movement direction, vividly illuminate the dual roles of the friction force, but also can support the exploration type and collaborative learning through the synchronous and independent interaction mode of the master control and the multi-student terminal, thereby improving the learning efficiency. And meanwhile, the contrastive analysis, process recording and playback functions are provided, so that teaching explanation and knowledge consolidation are powerfully assisted, and the intuition, interactivity and teaching efficiency of physics teaching are remarkably improved.

This invention discloses a method and system for pushing teaching content based on multi-source data analysis. The method includes the following steps: S1, collecting and preprocessing multi-source heterogeneous teaching data to obtain a standardized dataset; S2, fusing multi-source data using a graph neural network-based fusion model to generate a fusion feature vector, and constructing a multi-dimensional dynamic user profile based on this vector; S3, constructing a knowledge point intelligent graph, and analyzing the adaptability of teaching content from different dimensions in conjunction with the dynamic user profile; S4, generating a multi-objective push strategy and push scheme based on the teaching content adaptability analysis results, executing the push task and collecting feedback data, evaluating the push effect, and iteratively optimizing the push strategy. This invention, employing the above-mentioned method and system for pushing teaching content based on multi-source data analysis, can output systematic teaching content adapted to students' personalized needs and teaching progress, and continuously optimize the push strategy through a real-time feedback mechanism, thereby improving teaching efficiency and learning outcomes.

This invention discloses an augmented reality-based CAD interactive teaching method and system, belonging to the technical field of teaching systems. Specifically, it includes: real-time acquisition of video operation sequences and synchronized audio explanations from the teacher's end; decomposing video operations into discrete instruction nodes and extracting key parameter knowledge tags from the audio; establishing a spatiotemporal mapping relationship between the two; comparing the deviation between student operations and teacher instruction nodes using the operation trajectory marked on a heatmap as a benchmark; when the deviation exceeds a preset threshold, triggering an interactive circuit breaker mechanism to freeze the student's main interface, loading a matching correction micro-video in an independent sandbox window, and activating the interactive training module; collecting student operation response data through this module; and when the student operation response data consistently meets the standards, releasing the main interface from the circuit breaker state and activating the next operation instruction node. This invention improves the efficiency of CAD interactive teaching through a closed-loop teaching chain of "monitoring-circuit breaker-targeted training-unlocking upon meeting the standards."

The invention discloses a railway skill simulation teaching system based on end-cloud collaboration, and the system comprises a data acquisition module which is used for collecting data to generate a training set and a verification set; the double-end detection network module is used for constructing an RT-DETR double-end detection network comprising a track detection head and an action evaluation head and outputting a prediction result; the conflict modeling suppression module is used for generating a conflict tensor based on the two-end intermediate representation and implementing gating suppression on the decoding cross attention feature; the gradient collaborative updating module is used for calculating a gradient based on the two-end loss and generating a negotiation gradient to update a shared decoding network parameter; the ant lion search and strategy switching module is used for switching an exploration or convergence strategy based on the verification set loss and conflict trend and outputting an optimal position vector; and the model output module is used for training the model to converge and outputting the teaching model. According to the invention, intelligent evaluation and collaborative optimization of the teaching process are realized, and evaluation consistency, training stability and teaching efficiency are improved.

The invention discloses a multi-modal classroom progress evaluation and teaching assistance method based on an end-cloud collaborative architecture. Synchronously acquiring PPT pictures and facial expression data sets of teachers and text voices of the teachers at the classroom end side; splicing all the collected data and a preset prompt text to obtain a final input text; inputting the final input text into a pre-trained InternVL3 model for reasoning to obtain a reasoning result, pushing the reasoning result to a teacher terminal, and performing teaching guidance by a teacher according to the reasoning result; and repeating the above steps after a preset time period, so that the teacher continues teaching guidance according to the new reasoning result. The teaching rhythm is judged by fusing the teaching content of the teacher, the behavior response of the student group and the voice information, accurate and operable teaching feedback is provided for the teacher, and exercises meeting the current knowledge point and difficulty requirements are recommended especially when the progress is abnormal, so that the teacher is helped to dynamically adjust the teaching rhythm, and the classroom teaching efficiency is improved.

The invention relates to an economic data analysis teaching device and analysis method, and belongs to the technical field of data teaching devices. The economic data analysis teaching device comprises a teaching table and a protection assembly, and the protection assembly is arranged at the top of the teaching table; the economy teaching interaction mechanism comprises an interaction box, an interaction assembly and a teaching assembly; by arranging a display screen and an operation table in the interaction assembly, students can actively participate in operation and feedback in the learning process, and the understanding and interaction experience of the economic logic relation are enhanced. The teaching assembly is arranged on one side of the interaction area, so that a teacher can conveniently introduce disturbance factors to intervene a causal chain constructed by students, a strategy correction training closed loop is formed, and the strain and analysis ability is improved. Interaction and teaching functions are integrated on the same platform, cooperative operation of teachers and students is realized, and teaching efficiency is improved. And the protection assembly can shield the key module during idling or transferring, so that the equipment safety and the service life are guaranteed.

The invention provides an English teaching management method and system based on semantic comprehension and cloud service, and relates to the field of electric data processing, and the method comprises the steps: building a cloud teaching resource library; determining a plurality of student groups according to the learning mode tendency data, the English ability level data and the interest point weight map model of the plurality of students, and generating a basic teaching scheme corresponding to the student groups; calling teaching resources from a cloud teaching resource library according to the basic teaching scheme corresponding to the student group, and pushing the corresponding teaching resources to the student terminals corresponding to the student group according to the teaching progress of the basic teaching scheme of the student group; and on the basis of the real-time related information and the learning mode tendency data, the English ability level data and the interest point weight map model of the plurality of students included in the student group, generating supplementary push content corresponding to the student group by using a semantic understanding technology, and pushing the supplementary push content to a student terminal corresponding to the student group. The device has the advantage of improving English teaching efficiency and quality.

The utility model discloses a parking braking system teaching aid which comprises a supporting frame and a parking braking component. Wherein the supporting frame is fixedly arranged on the teaching ground and can conveniently move on the teaching ground; the parking braking component is fixedly arranged at the upper end and the interior of the supporting frame according to the installation condition of the parking braking component in an actual vehicle; the teaching aid provided by the utility model effectively reproduces the working principle and the structural layout of an actual vehicle parking brake system according to the configuration mode in an actual vehicle, maintenance personnel can directly observe and operate the parts, the actual operation skill and maintenance capability are improved, and meanwhile, the teaching aid is convenient to use. Maintenance personnel learn and get familiar with the parking brake system in a safe teaching environment, risks and dangers possibly faced during maintenance on an actual vehicle are reduced, in addition, the open design of the teaching aid enables the teaching aid to be suitable for team training, promotes knowledge sharing and team cooperation, improves the maintenance level of the whole team, and improves the maintenance efficiency of the whole team. Therefore, the teaching efficiency and quality are improved.

The utility model belongs to the technical field of teaching aids, and particularly relates to an assembled four-star instrument teaching aid, which comprises a detachable and assembled part assembly, and the part assembly comprises a cross-shaped buckle, a civil star disc, a Mars disc, a pointer disc, a golden star disc and a four-star instrument disc. The civil star disc is the largest disc body, the Mars disc, the pointer disc, the golden star disc and the four-star instrument disc are sequentially stacked on the civil star disc from bottom to top, and the centers of the disc bodies are fixedly connected through the cross-shaped buckles. The disc bodies are provided with scale marks, the scale marks comprise year scales, date scales and direction indication scales, and the scale marks are used for achieving the dynamic position prediction function of golden stars, Mars stars, wood stars and earth stars through scale matching between the disc bodies. And the teaching efficiency is improved, and practicability and interestingness are both considered.

The invention discloses an online art education immersive scene interaction system, and belongs to the field of artificial intelligence and art education cross technology, and the interaction system comprises an intelligent art education teaching resource module, an online art education immersive teaching scene design module and a visual voice interaction module. The intelligent art education teaching resource module and the online art education immersive teaching scene design module realize online art education immersive scene interaction through the visual voice interaction module; the interactive system recommends personalized professional teaching resources to the learner according to the professional basis, the emotion level, the personalized features or the course teaching requirements of the learner, and achieves the deep integration of the online art education high-quality teaching content and the advanced teaching technology in an immersive teaching scene. The immersive teaching experience of internet learners is enhanced, the teaching efficiency and the teaching effect of online art education professional courses are remarkably improved, and the method is of great significance in improving the online art education level.

The invention relates to a student virtual simulation interactive learning effect evaluation method and system, and the method comprises the steps: dividing a course virtual simulation interactive facility network according to influence factors, building student virtual simulation interactive behavior parameters, and carrying out the partitioning of the course virtual simulation interactive facility network through a three-dimensional magic cube classification method; constructing a group network time sequence of virtual simulation interaction of different levels of facility behaviors of students in the class; calculating a specification degree and a proficiency degree based on a cross-correlation function, and calculating an equipment control degree based on a state parameter difference value proportion; establishing three-dimensional space indexes according to the standard degree, the proficiency degree and the equipment control degree, and constructing student virtual simulation interactive learning effect partitions based on a three-dimensional magic cube classification method; and establishing a type-capability short plate association rule in each partition according to a learning effect evaluation index, and automatically generating an evaluation of a corresponding weak link in a final learning effect report. The method solves the problems of lack of class overall analysis and blindness in teaching optimization in the prior art, and improves the teaching efficiency.

The present invention provides an English teaching management method and system based on semantic understanding and cloud services, which relate to the field of electronic data processing. The method comprises: establishing a cloud-based teaching resource library; determining multiple student groups based on learning pattern tendency data, English proficiency level data, and a weighted graph model of points of interest of multiple students, and generating basic teaching plans corresponding to the student groups; retrieving teaching resources from the cloud-based teaching resource library based on the basic teaching plans corresponding to the student groups, and pushing the corresponding teaching resources to the student terminals corresponding to the student groups according to the teaching progress of the basic teaching plans of the student groups; generating supplementary push content corresponding to the student groups based on real-time relevant information and the learning pattern tendency data, English proficiency level data, and a weighted graph model of points of interest of multiple students included in the student groups using semantic understanding technology, and pushing the supplementary push content to the student terminals corresponding to the student groups, thereby improving the efficiency and quality of English teaching.

The invention relates to an intelligent teaching system for English learning, two sides of a host are respectively provided with a student end display screen and a teacher end display screen, a bottom base is integrated with a driving spelling roller and a driven spelling roller, and after students rotate the driving spelling roller to spell words, a synchronous belt drives the driven spelling roller to synchronously record contents; a writing board is arranged in the base in a sliding mode for students to write, a first supporting frame drives a camera with an illuminating lamp through a reciprocating lead screw to shoot spelling content, a second supporting frame connected with a spring rod is in linkage with another set of cameras to shoot the writing content, and images are transmitted to a teacher end display screen in real time. A teacher can remotely check spelling and writing results, identifies errors through the system and prompts the errors, and can control a loudspeaker to play words for students to write from memory; the system reduces the classroom examination time, realizes the instant feedback of errors, and improves the teaching efficiency.

The invention relates to the technical field of interactive teaching, in particular to a music teaching demonstration device which comprises a teaching cabinet, a damping mechanism is arranged above the teaching cabinet, the damping mechanism comprises a concentric-square-shaped frame plate, a moving box is slidably connected into the concentric-square-shaped frame plate, and an insection plate is connected into the moving box in a penetrating mode. The two ends of the tooth pattern plate are fixedly connected to the inner wall of the concentric-square-shaped frame plate, one side of the tooth pattern plate is meshed with a damping gear, the damping gear is installed in a moving box, a turnover mechanism is arranged in the moving box and comprises a turnover plate, the turnover plate is rotationally arranged in the moving box, and the turnover plate is connected with the damping gear. A first intelligent display screen and a second intelligent display screen are arranged on the two faces of the overturning plate correspondingly. The device integrates mechanical damping, intelligent display, pneumatic locking and adjustable visual angle design, is suitable for multiple musical instrument teaching scenes, and through comprehensive application of technologies such as mechanical damping, intelligent display and pneumatic locking, the teaching efficiency and the visualization level are remarkably improved.

The present invention relates to the field of personalized push technology, specifically a personalized music teaching content push system, the system including a user ability assessment module, a teaching content matching module, a learning path planning module, a push strategy optimization module, a behavior analysis and prediction module, a teaching effect feedback module, a dynamic adjustment and optimization module, and a personalized recommendation module. The present invention adopts clustering algorithms, support vector machines, and random forest algorithms to accurately assess learner abilities, K-means clustering and hierarchical analysis method to achieve matching between teaching content and abilities, Dijkstra algorithm and dynamic programming to design personalized learning paths, Q learning and policy gradient method to optimize push strategies, long short-term memory networks and seasonal decomposition time series to predict learning needs, and utilizes item response theory, Markov decision process and Bayesian network to improve feedback adjustment accuracy. Deep Q network and Monte Carlo tree search are used to optimize personalized recommendations and enhance teaching efficiency and results.

The invention discloses an image identification tracking method based on an interactive intelligent experiment teaching system. The method comprises the following steps: S101, acquiring experiment scene data through a time-space aligned multi-mode sensor array; s102, realizing feature level fusion of optical, thermodynamic and electromagnetic wave data by using a cross-modal space-time alignment network; s103, teaching semantic constraints are injected, semantic constraint items are generated based on a predefined teaching knowledge graph, and a target tracking trajectory is corrected; s104, a feedback strategy is dynamically selected according to the student portrait model, the feedback strategy comprises a safety blocking instruction and a teaching prompt instruction, and according to the image recognition tracking method based on the interactive intelligent experiment teaching system, multi-modal sensor data are fused, a teaching knowledge graph is dynamically embedded, and a personalized feedback mechanism is constructed; accurate tracking, compliance judgment and self-adaptive teaching intervention of operation behaviors of students are realized, and the teaching efficiency is improved.

The invention relates to a student personalized homework correction method and system based on a generative algorithm and a terminal, and relates to the field of wisdom education, and the method comprises the steps: obtaining homework files in various formats, and converting the homework files into a structured question template, the homework files are uploaded by a teacher terminal, and the structured question template comprises a question ID, question content and an answering region; according to the structured question template, receiving homework data uploaded by the student terminal and extracting homework content; identifying question types and associated knowledge points in the homework content to form structured data; obtaining personalized student portraits, wherein the personalized student portraits comprise knowledge mastering degrees, problem solving habits and learning style characteristics; performing correction operation on the structured data to obtain a multi-dimensional evaluation result; and according to the multi-dimensional evaluation result and the personalized student portrait, differential learning guidance is generated, and an analysis result is presented in a visual form. The method has the effects of improving the teaching efficiency and accurately implementing personalized learning guidance.

The invention relates to the technical field of computer-aided teaching, in particular to a role animation teaching system and method based on a virtual simulation technology and a medium, which are mainly suitable for role animation motion law teaching of an animation design major, and realize multi-role dynamic comparison, detail decomposition and interactive practice functions through the virtual simulation technology. The role animation teaching system based on the virtual simulation technology comprises a basic module, a comparison module and a detail module, the character animation teaching system based on the virtual simulation technology has the core advantages of being higher in interactivity, richer in visualization, higher in practicability, wider in platform compatibility and better in teaching efficiency, and the advantages are directly brought by the basic module, the comparison module, the detail module, the practice module and multi-platform support. Compared with the prior art, the teaching threshold is lowered, the learning interest and achievement of the user are remarkably improved, and the method is suitable for efficient teaching resource construction of the animation design major.

The present invention discloses a drawing device for higher vocational mathematics education, which relates to the technical field of mathematics drawing, including a support device, wherein a limiting device is arranged at the left end inside the support device, and the limiting device is fixedly connected with a folding device. The present invention drives the following plate to move by setting a rotating track column, and when the following plate moves, it will also move in the sliding groove through a sliding block in coordination with a matching hole for auxiliary limiting, and when the annular disk moves, it will drive the chalk or marker to follow the function track to draw the required function image on the blackboard or whiteboard, thereby solving the problem that most of the drawing devices for higher mathematics teaching and education today cannot assist teachers to draw function images quickly and roughly, and then teachers need to find points to draw function images based on their own teaching experience, thereby reducing the teaching efficiency of teachers drawing to a certain extent.

The invention relates to the field of education equipment, and provides a mathematical modeling teaching interaction device supporting multi-user cooperation, which comprises a central cooperation main screen, a plurality of student interaction terminals, a data interface module, a modeling logic module, a real-time recording and feedback module and a teacher control and evaluation terminal. According to the mathematical modeling teaching interaction device supporting multi-user cooperation, through innovative designs such as advanced multi-point touch control technology, flow guide, intelligent data import and automatic recording evaluation, visualization, interaction and individuation of the teaching process are effectively achieved. The system breaks through the limitation of traditional mathematical modeling teaching, greatly enhances the learning interest and actual operation capability of students, and improves the teaching efficiency and quality.