46 results about "Online teaching" patented technology

The application discloses a kind of teaching and learning behavior data support under causally driven dynamic organization method and system of teaching resources, and the method comprises the following steps: obtaining online teaching and learning behavior data, the online teaching and learning behavior data include teaching activity data, student learning data and online education resource information;According to the online teaching and learning behavior data, resource access dynamic time sequence causality is modeled, and the causality information of online education resource access is determined;According to the causality information, the online education resource access heat is predicted by neural network;According to the online education resource access heat obtained by prediction, the file level teaching and learning behavior data support under causally driven dynamic organization process of teaching resources is constructed, to realize the causally driven dynamic organization of teaching resources under teaching and learning behavior data support.The application can effectively improve the education user data access efficiency, and can be widely applied in the field of computer technology.

This invention discloses a method and system for application design transformation based on technological experience, relating to the field of digital technology. The method includes: collecting open-source technology product data via the internet to construct a digital technology experience center; providing online technology experiences for students to obtain experience monitoring data; designing online courses based on a technology application creation platform to obtain online teaching courses; teaching students to obtain technology application concept design proposals; conducting simulation verification and evaluation through a mechanism simulation system to obtain simulation evaluation results for the design proposals; presenting the technology application concept design proposals in a roadshow to obtain a design demonstration dataset; conducting online expert evaluation; and transforming the technology application concept design proposals into innovative achievements based on the evaluation results. This addresses the technical problems of limited teaching resources, limited practical scenarios, and restricted technological innovation capabilities in existing science and technology education, achieving the technical effect of enriching technological experiences and enhancing technological innovation capabilities.

To provide a system for supporting an examinee to study an examination by using generative artificial intelligence.SOLUTION: The system includes a user interface means for inputting a school of choice and basic information of an examinee, an examination question generation means for automatically generating examination questions based on the school of choice information of the examinee, an analysis means for analyzing a trial result answered by the examinee and visualizing an unskillful field and a weak point, an answer explanation means for generating and displaying an explanation based on an analysis result, a teaching material recommendation means for recommending an online teaching material suitable for a learning situation of the examinee, and a similar question generation means for automatically generating similar questions based on the unskillful field of the examinee.SELECTED DRAWING: Figure 1

This invention discloses an AI-based online teaching system for intangible cultural heritage (ICH) music, involving the intersection of educational technology, artificial intelligence, and digital preservation of ICH. It aims to address the pain points in ICH music transmission, such as teacher shortages, inaccurate analysis, cultural discontinuity, and poor adaptability. The system architecture consists of a user interaction layer, an AI analysis layer, and a resource support layer. Its core innovations are the collaborative operation of two engines in the AI ​​analysis layer: an ICH music feature analysis engine and a cultural context generation engine, and an adaptive teaching engine in the resource support layer, forming a closed loop of "analysis-feedback-teaching." The system achieves high-precision quantitative analysis of unique ICH skills and deep integration of cultural connotations, supports low-bandwidth and low-end device operation, adapts to grassroots scenarios, and promotes the transformation of ICH music from static archiving to dynamic transmission.

The present application relates to the technical field of teaching quality evaluation, in particular to a service quality dynamic evaluation method for an online teaching platform, comprising: collecting learning behavior data of an online education platform based on the scene of teaching task access; decomposing the obtained learning behavior data in multiple modal scenes to determine the scene feature matrix under each scene; integrating real-time learning behavior data based on the scene feature matrix under each scene to determine the real-time interaction degree of learning behavior, and constructing a learning behavior portrait according to the response time under real-time interaction; calculating the group response time of each teaching task based on the obtained learning behavior portrait, and determining the interaction mode exhibited by the teaching task according to the task completion status corresponding to the teaching task; and based on the interaction mode exhibited by the teaching task, using the isolation forest algorithm for time series regression verification to determine the evaluation score of each user. The efficiency and accuracy of data processing are improved.

The invention discloses an interactive intelligent teaching system based on multiple modes, and relates to the technical field of intelligent teaching management systems. The system comprises a multi-modal perception layer, a semantic and feature fusion engine, a cognition-emotion two-dimensional analysis module, a strategy decision center and a multi-dimensional interaction execution terminal. Multi-source data of vision, hearing, physiology, behaviors and the like are synchronously collected in real time, and an improved MLP regression network is utilized to construct a cognition-emotion two-dimensional state model of a learner; when the state of the student is monitored to be abnormal, the strategy decision center dynamically generates an optimal teaching path in combination with a knowledge graph and a historical successful case, and drives a virtual digital teacher to execute immersive intervention; according to the method, the problems of emotion perception deficiency, feedback lagging and insufficient individuation in traditional online teaching are solved, and intelligent closed loop and adaptive optimization of the teaching process are realized.

The application relates to the technical field of intelligent interaction, in particular to an online teaching interaction system based on a cloud platform, wherein a data acquisition module is used to determine the action disturbance route complexity and action repetition degree of a teaching end; a data analysis module is used to calculate an action complexity representation parameter and divide an action abnormality tendency; an interaction processing module is used to compare the action start frame and the action end frame of each node of the teaching end video and the learning end video for weak abnormality tendency, determine the learning end action state, determine a plurality of extraction intervals for strong abnormality tendency actions, compare the corresponding predicted node action graph of the extraction interval with the actual node action graph in the learning end video frame in the extraction interval, and determine the learning end action state; and a state reminding module is used to determine whether a state correction reminding needs to be sent. The application compares and analyzes learning actions, and improves the interaction efficiency and analysis accuracy.

1. The name of the design product: video exhibition stand (V1200A3E). 2. The use of the design product: desktop shooting equipment for online teaching, calligraphy and painting training, video conference, medical and other scenes. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of data processing, in particular to an online teaching collaborative management system based on a cloud platform, which comprises a multi-source data acquisition module, a candidate resource screening module, a collaborative strategy generation module, an interaction channel distribution module, a collaborative data acquisition module and a collaborative resume recording module. According to the system, key information in the online teaching process is comprehensively acquired through the multi-source data acquisition unit, the key information comprises multi-party participation subject information, teaching resource metadata, collaborative scene parameters and the like, a rich data basis is provided for follow-up management, the integrity and pertinence of data are ensured through accurate data positioning and preliminary processing, and the online teaching efficiency is improved. The efficiency and accuracy of teaching collaboration are improved, teaching resource allocation is optimized, personalized teaching collaboration is realized, the collaboration process is guaranteed to be smooth, evaluation and tracing are facilitated, and education informatization development is promoted.

This invention discloses a digital and intelligent instructional design system and method, relating to the field of online teaching technology. It includes a user center module, a lesson management module, a resource library module, and a teaching center module. The user center module, lesson management module, resource library module, and teaching center module designed in this invention are interconnected and functionally complementary, forming a closed-loop teaching system. Simultaneously, it provides standardized and refined guidance for all aspects of lesson design, covering key content such as student learning analysis, blackboard design, and script writing. This transforms instructional design from fragmented operations into a holistic process planning, solving the problem of traditional platforms only presenting design results without systematic design guidance. Furthermore, a resource recommendation index calculation model is designed, combining keyword matching degree with interactive data such as views, likes, and collections for weighted calculation. A quantitative threshold is set to intelligently determine high-quality resources, allowing search results to be presented in order of quality.

1. Name of the product in this design: Graphical User Interface for Lesson Preparation and Teaching Resources of Electronic Equipment. 2. Purpose of this design: This design is used to provide information display and interaction for lesson preparation and teaching resources. 3. The key design features of this product are: the design of the graphical human-computer interaction interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: It is used by teachers to prepare lessons before class and view lesson preparation documents and online resources. 6. Human-computer interaction method of graphical user interface: The main view is the main interface of the software. Clicking the "Online Resources" tab in the main view leads to the changed state diagram 1, where users can view various online teaching resources, filter, search, preview, and download files; clicking the "National Public Resource Platform" tab in changed state diagram 1 leads to changed state diagram 2, where the interface provides commonly used national public resource platforms in teaching; clicking the user avatar in the lower left corner of changed state diagram 2 leads to changed state diagram 3, providing basic access points such as viewing personal information, changing passwords, and user tutorials; clicking the "My Favorites" tab in changed state diagram 3 leads to changed state diagram 4, displaying the user's favorite pictures, documents, videos, and other files.

The invention discloses an uncertainty perception online teaching control method and system based on a three-way decision. The method comprises the following steps: constructing an online teaching state tetrad comprising a target knowledge unit, multi-scale learning condition characteristics, uncertainty intensity and risk preference parameters; carrying out weighted fusion on the multi-scale evidence divergence degree and the state prediction confidence degree to obtain an uncertainty intensity index; a three-way decision-making mechanism is introduced, and teaching control behaviors are divided into several classes of strategies; based on the uncertainty intensity index, constructing a total cost function containing deterministic cost and risk cost for any type of strategies, and determining a final three-way decision result by adopting a minimum total cost function; mapping the final three decision results to a unique action in the teaching control action set and executing the action; the executed teaching feedback is collected and aggregated into a feedback quality score; and updating and iterating the risk preference parameter, the verification effective rate parameter and the scale fusion weight based on the feedback quality score.

The application provides a student learning behavior analysis system for a digital education scene, relates to the fields of digital education and education informatization, and comprises a multi-source data access and event unification module for accessing student learning behavior data in a classroom interaction system, an online teaching platform, a homework platform, an evaluation platform and a teaching management platform. The student learning behavior analysis system for the digital education scene unifies, standardizes, correlates and time-series analyzes multi-source student learning behavior data such as classroom interaction, online teaching, homework, evaluation and teaching management, constructs a cross-scene learning behavior chain around the same teaching task node, realizes continuous representation of the student learning process, and thus can more comprehensively and truly reflect the learning state of the student in different teaching scenes and improve the accuracy and integrity of the learning state analysis.

The invention discloses a curriculum editing system and curriculum creating method for online teaching, the curriculum editing system comprises a curriculum structure design module, a teaching resource library module, a rich media editing module, an intelligent auxiliary module and a real-time preview publishing module, the curriculum structure design module provides a visual interaction interface, and therefore the visual interaction interface can be displayed on the teaching resource library module. A rich media editor and a full-type resource library are in deep linkage, teachers can call materials without cross-platform switching, the editor supports creation and parameter configuration of complex components, the limitation that only basic images and texts can be embedded is broken through, the complex teaching scene requirements of interactive courseware, virtual experiments and the like are met, an exclusive teaching logic rule library is built in the system, and the teaching effect is good. By analyzing data such as course structures and content distribution, structure adjustment suggestions and component recommendations fitting teaching laws are output, personalized design can be adapted in combination with learning conditions, and the problems of logic confusion and key fuzziness are avoided.

The invention relates to the technical field of information, in particular to an AI-based theory and practice integrated online teaching method and platform. The method comprises the following steps: reading video data of historical practical operation teaching and position posture sensing data of a teaching aid operation process, which are synchronously acquired with the video data, and constructing a practical operation teaching knowledge base; obtaining a request knowledge point, matching the request knowledge point with a preset theoretical teaching content library, and generating and pushing corresponding theoretical teaching content and practical operation guidance content; receiving real-time sensing data of a position attitude sensor carried on the teaching aid and real-time video data of the operation process in the process of executing the practical operation by the user; analyzing the real-time sensing data and the real-time video data to obtain an operation action sequence, a posture feature and an operation result of the user; and comparing the operation action sequence, the posture characteristics and the operation result with practical operation teaching knowledge in the practical operation teaching knowledge base, and generating feedback.

The invention discloses an online Chinese character learning system for overseas students, which comprises a teacher end, a student end and a cloud server, and is characterized in that the teacher end comprises a password login module, an online class teaching module, a homework push-down module and a batch paper review module; the password login module is used for providing a login path for the teacher; the online class teaching module is used for carrying out online teaching on the overseas students; the homework push-down module is used for pushing after-class homework to the overseas students; the batch paper review module is used for examining and approving after-class homework uploaded by the overseas students; according to the invention, students can conveniently learn Chinese characters on line, a teacher can carry out one-to-many teaching through the teacher terminal, can carry out network class interactive teaching and push down homework, the teacher can review the homework, the students can conveniently review and consolidate learning contents, and the learning effect is better.

The invention relates to the piano online teaching technology, in particular to a multi-dimensional data display method and system and a program product, and the method comprises the steps: obtaining a first data set collected by a first device end of a first user; transmitting the first data set to a second device end of at least one second user; generating a music score interface according to the music score propelling data; responding to a visualization signal sent by the first user and / or the second user, and adaptively generating a visualization rule; responding to the visualization rule and the first data set to generate a first visualization interface; and displaying the first visual interface and the music score interface on the second display device. According to the invention, a video and music score synchronous display scheme is provided for piano online teaching, the scheme has relatively high real-time performance and interactivity, and a recommended display scheme can be set for teachers or students in a targeted manner.

The present application relates to a kind of violin muscle memory type basic skill standardization training device, comprising: body, telescopic tube, 3D cheek support, bowing piece, bowing slot, bowing guide rod, left hand hand shape module, right hand hand shape module, shoulder pad and point laser positioner.The violin playing posture is different from the vast majority of other musical instruments, is not in line with human body structure, unreasonable and against nature, extremely unscientific.Therefore great confusion is caused to beginners and self-taught learners.The present application muscle memory type violin basic skill standardization training device, by using the training device, beginners can quickly form correct muscle memory of holding violin, pressing finger, bowing and other basic skills, and learners who have formed incorrect holding violin and other basic skills can also quickly correct errors and form correct muscle memory, greatly reducing the phenomenon of confusion of learners caused by lack of standard and effective teaching aids and lack of teachers in remote areas in the starting stage of violin learning, and providing a unique and effective basic skill training teaching aid for online teaching through network.

The application discloses an AIGC multi-scene federated training method for an online teaching platform, belongs to the technical field of artificial intelligence, and relates to the following technical scheme: a main blockchain is used to distribute AIGC tasks to a sharded blockchain with the same attribute according to the education attribute; a difficulty sample self-adaptive balance loss function is used for local training by a training node in the sharded blockchain, and training labels are stored to overcome the long-tail distribution of education data; after local training is completed, a local model is adaptively selected according to the distribution similarity and the loss change rate, and the local model is uploaded to the main chain together with the local distribution probability; the main chain is used to verify the accuracy rate by using a public balance data set, an aggregation coefficient is calculated according to the divergence eigenvalue of the distribution probability, the local model is weighted and aggregated, the target global model is obtained after iteration to the maximum number of times, scene conflicts can be effectively avoided, difficult knowledge points can be effectively learned, communication overhead can be reduced, and the generalization ability and the reliability of the model can be improved.

This invention discloses a remote online teaching method and system based on internet education, including a teaching server, a student terminal, and a teacher terminal. This remote online teaching system leverages the multi-channel transmission characteristics of the internet, dividing a single class into multiple learning groups. Each learning group shares a communication channel, allowing for multi-channel communication with the instructor. This effectively reduces communication congestion, resulting in more stable and efficient video transmission. Group members can communicate with each other, facilitating peer interaction. Instructors can individually enter each learning group during communication sessions to provide guidance. The system incorporates an evaluation unit, allowing for peer evaluation between instructors and students, monitoring and regulating student learning behavior. The system collects evaluations through multiple channels and at multiple levels, providing a comprehensive assessment that promotes better teacher-student communication and improves teaching quality.

The invention relates to the piano online teaching technology, in particular to a collaborative display method and system for videos and music scores and a program product, and the method comprises the steps: obtaining a first data set collected by a first device end of a first user; transmitting the first data set to a second device end of at least one second user; generating a music score interface according to the music score propelling data; responding to a visualization signal sent by the first user and / or the second user, and adaptively generating a visualization rule; responding to the visualization rule and the first data set to generate a first visualization interface; and displaying the first visual interface and the music score interface on the second display device. According to the invention, a video and music score synchronous display scheme is provided for piano online teaching, the scheme has relatively high real-time performance and interactivity, and a recommended display scheme can be set for teachers or students in a targeted manner.

The invention discloses a hybrid teaching evaluation optimization system and method based on real-time communication, relates to the technical field of intelligent teaching, and can fuse bullet screen text and student face image information in an online teaching process to construct a multi-modal emotion evaluation mechanism. A first credibility index is generated by acquiring a network delay value and performing nonlinear attenuation processing, a second credibility index is generated in combination with response time delay and historical activeness of students to questions asked by teachers, and the second credibility index is coupled with basic biological weights corresponding to course types to generate a dynamic weight coefficient. And weighted fusion of the text and the biological emotion data is realized. The method can effectively adapt to the change of a communication environment, improves the accuracy and timeliness of emotion recognition, achieves the early warning feedback based on a dual-threshold mechanism, and facilitates the improvement of the teaching interaction quality of a large-scale live classroom.

The application discloses a teaching interaction method and device, electronic equipment and computer storage medium. The method comprises the following steps: receiving an online class listening request sent by a student end; in response to the online class listening request, verifying whether a student corresponding to the student end is currently in a leave state; if the student corresponding to the student end is currently in the leave state, confirming that the online class listening request is verified; under the condition that the online class listening request is verified, allowing the student end to join an online classroom currently opened by a teacher end; the online classroom is used for displaying offline course videos received by the teacher end. In this way, students who can listen to offline classes can also use the student end to listen to online classes, so that they do not pay attention to offline classes due to excessive dependence on online teaching videos, and the learning needs of students who cannot listen to offline classes can be met, so that they can learn offline teaching content through the student end and classmates learning offline.

The invention relates to a virtual simulation system, which belongs to the technical field of virtual simulation and comprises a digital twinborn experiment center, an online teaching simulation center, a service layer, a data layer and a physical layer. The digital twinborn experiment center comprises a theory classroom and a virtual laboratory; the online teaching simulation center comprises a virtual integrated laboratory and a practical training center. The virtual simulation system provided by the invention simulates a real environment technology by using a computer technology, simulates various environments and conditions in the real world by constructing a virtual three-dimensional model, provides immersive experience for a user, is low in technology implementation difficulty, real in experiment effect and high in experiment operability and interactivity, and is suitable for popularization and application. The system has a perfect experiment evaluation mechanism and is low in system maintenance and updating cost.

The invention discloses an artificial intelligence-based application in poem and drawing uniform poem creative teaching, and particularly relates to the technical field of computer technology and artificial intelligence application, and the steps are as follows: S1, data input and preprocessing; s2, semantic feature extraction and structured analysis; s3, carrying out cross-modal semantic alignment; s4, generating and rendering; s5, interaction and teaching display; and S6, performing automatic evaluation and feedback. According to the application of the artificial intelligence in the creative teaching of the poems and the versions, a modular design is adopted, and the language model, the visual model and the semantic mapping module communicate through a unified API interface, so that operation at a local terminal is facilitated, multi-person online teaching and collaborative creation can be supported through cloud deployment, and the practicability is high. Compared with a traditional distributed system, redundant data transmission and model repeated loading are reduced, and the overall operation efficiency is improved by about 20%.

The application discloses an online teaching text video super-resolution method based on SVC and edge computing, which combines edge computing, SVC scalable video coding technology and super-resolution technology. The application uses the edge computing architecture to unload the video enhancement from the terminal to the edge cloud server, solving the problem of insufficient terminal computing power. The combination of the SVC scalable video coding mode and the super-resolution technology improves the video viewing quality under network fluctuations. Meanwhile, a text super-resolution model suitable for the characteristics of online teaching videos is proposed. The application can effectively improve the end user viewing quality of online teaching videos under network fluctuations, and improve the teaching and learning effect of teachers and students.

The invention discloses a psychological crisis intervention online teaching system based on virtual reality, and relates to the technical field of psychological crisis intervention teaching. The function module comprises a psychological crisis intervention learning module, a psychological crisis intervention supervision mode module, a psychological crisis intervention self-practice module, a psychological crisis intervention teaching learning module, a knowledge base module, a tool box module, an evaluation scale module and a learning recording and evaluating module. Through deep integration of theory and practical operation, students develop psychological crisis intervention practical operation practice through a simulated crisis scene created by a virtual reality technology, learned theoretical knowledge is applied to a practical scene, and a system provides virtual visitors and an interactive communication mechanism, so that the students practice consulting skills such as listening, information sharing, questioning, crisis intervention and the like in the simulated scene, and the practical operation is realized. The tight combination of theory and practice is truly realized, and the ability of students to deal with actual psychological crisis is improved.

The utility model relates to the technical field of online teaching live broadcast equipment, in particular to online teaching live broadcast equipment which comprises a teaching tablet personal computer, a camera is arranged above the teaching tablet personal computer, a support is fixedly installed at the top end of a bottom plate, and a rotating assembly is arranged between the teaching tablet personal computer and the support. A linkage lifting assembly is arranged between the lifting rod and the teaching tablet computer; and the rotating assembly comprises a rotating shaft and a rectangular box, the rotating shaft is fixedly connected with a first gear, and a servo motor is fixedly installed in a cavity of the rectangular box. The teaching tablet computer rotates from a horizontal screen state to a vertical screen state by arranging the rotating assembly, so that different live broadcast teaching requirements can be met, and the teaching tablet computer synchronously pushes the camera to ascend when rotating by arranging the linkage lifting assembly, so that automatic adjustment of the height of the camera is realized, manual adjustment is not needed, and the teaching efficiency is improved. And the operation convenience and practicability are improved.