77 results about "Online teaching" patented technology

The invention relates to a method and device for predicting online open course learner satisfaction and electronic equipment, and the method comprises the steps: predicting the online open course satisfaction of students through an MLP and RBF neural network model by using a virtual learning environment of a large-scale online teaching and learning platform and combining learning behavior data in a learning management system (LMS); the model comprises a data acquisition and processing module, a multilayer perceptron (MLP) module, a radial basis function (RBF) neural network module, a classification tree module and a control block, the data acquisition and processing module is used for generating a training and testing data set, and the MLP and RBF neural network model predicts the satisfaction degree of a learner. The MLP model carries out feature extraction through a multi-layer perceptron structure and different activation functions, the RBF model measures the distance between input data and a center by using a radial basis function to realize feature extraction, the classification tree is used for judging a prediction model to which a data point belongs, the control block integrates features from the MLP and RBF neural network models, and the RBF model is used for determining a prediction model to which the data point belongs. Experimental results show that the prediction accuracy of low-satisfaction-degree learners and high-satisfaction-degree learners can be improved at the same time through the combination scheme of the MLP and the RBF, the method can be applied to learner satisfaction degree prediction of various online open courses, an educational institution is helped to know the satisfaction degree condition of students in time, course design and teaching strategies are optimized, and the teaching efficiency is improved. And important support is provided for teaching reform and optimization in the field of online education.

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 invention provides a method for identifying and displaying key subsequences of a voice sequence. The method comprises the following steps: S510, acquiring a current voice sequence; s520, identifying a first number of pause points contained in the current voice sequence, and activating a second number of key sub-sequence identification processes; s530, segmenting the current voice sequence into a third number of voice subsequences by taking the first number of pause points as a unit; s540, identifying whether each voice sub-sequence contains a predetermined key sub-sequence or not in parallel by adopting a second number of key sub-sequence identification processes; s550, if certain two adjacent voice subsequences contain the same predetermined key subsequence, combining the two adjacent voice subsequences into one voice subsequence; and S560, playing the voice subsequences in sequence. The invention further discloses the corresponding electronic equipment and system. According to the invention, the key sub-sequence of the voice sequence can be identified and displayed, the key attention during the online teaching of the voice in the chemical field is facilitated, and the system resources are saved.

The present invention relates to the field of online education technology and discloses an online training education informationization teaching method based on big data, comprising the following steps: Step S1: collecting data from an online teaching platform, a real-time assessment system, an emotion monitoring device, and user interaction logs, and performing cleaning, standardization, noise filtering, and feature extraction on the data; Step S2: constructing a student state vector based on the data from Step S1 to implement dimensionality reduction processing; and Step S3: establishing a state-action model. A personalized teaching recommendation system based on big data is adopted. By collecting student learning data in real time and utilizing big data technology to analyze and optimize learning paths, the system achieves the technical effect of accurately matching student needs. Compared to the technical solutions in traditional education platforms that cannot respond to student status in a timely manner, the present invention can adjust recommended content in real time, solving the problem of inaccurate allocation of personalized teaching resources.

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.

An online teaching system based on a hierarchical teaching idea belongs to the technical field of online teaching, and comprises a management platform, a teacher terminal and a student terminal, the management platform formulates different hierarchies for each subject and teaching resources and standards that different hierarchies should have for teaching; the teacher terminal submits corresponding teaching resources according to a teaching resource recruitment request issued by the management platform, and the student terminal carries out comprehensive evaluation according to the learning ability, learning basis and learning purpose of learners of students and carries out teaching resource adaptation in combination with likes of teaching styles. According to the online teaching system based on the hierarchical teaching concept, teaching resources meeting the requirements of learners can be screened out for the learners according to the learning characteristics, the learning basis, the teaching mode and the learning purpose of the learners, and the learners can master related knowledge.

The application provides a teaching big data intelligent analysis method. The teaching big data intelligent analysis method comprises the following steps: obtaining teaching history data based on big data technology; obtaining learning characteristic data of each student based on the teaching history data analysis; classifying the students according to a preset classification rule and the learning characteristic data to obtain a student classification result; obtaining student participation data of online teaching and offline teaching of a target teacher; and performing teaching analysis on the target teacher to determine an online teaching and offline teaching evaluation result of the target teacher. The application analyzes the teaching history data of the teacher, considers the whole situation, analyzes the preference of each student for the online teaching and offline teaching, and combines the participation data of the students in the online teaching and offline teaching of the teacher in the actual teaching process to reasonably analyze the teaching of the teacher, so that intuitive teaching feedback information is provided for the teacher, and the teaching method of the teacher is facilitated to be improved.

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.

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 present invention relates to the technical field of display devices, and in particular to an interactive display device for online teaching of college English. The interactive display device comprises two hanging plates, wherein a connecting rod I is fixed between the two hanging plates, and the two hanging plates are used for supporting a smart screen; reserved grooves are provided in the surfaces of the hanging plates and are configured to mount wall bolts; and a support is rotationally connected to the back of each hanging plate, a base plate is integrally formed on one end of the support, a connecting screw is inserted into the surface of the support, and the connecting screw penetrates the support and is then threadedly connected to the surface of the hanging plate. The beneficial effects lie in that: by means of the design of the hanging plates and the connecting rod, the interactive display device for online teaching of college English provided in the present invention realizes convenient mounting and dismounting of the smart screen; and the design of the reserved grooves and through holes in the hanging plates enables the hanging plates to be firmly fixed to a wall, and the smart screen can also be easily pushed between the hanging plates, thereby achieving rapid mounting.

The present invention discloses a virtual character teaching method, apparatus, device, and storage medium, relating to the field of internet teaching technology. The method includes: determining a target teaching task matching the student based on the student's identity information; generating a virtual character mirror associated with the instructor based on the instructor's identity information and the target teaching task; and providing interactive instruction to the student on the target teaching task through the virtual character mirror. The technical solutions of the embodiments of the present invention can provide personalized instruction for each student through the virtual character mirror, enhancing the interest and learning effectiveness of online teaching.

The invention provides a method and system for evaluating teaching reform significance in an online teaching platform, and the method comprises the steps: collecting data through a data collection module, wherein the data collection module comprises a teaching student list, a traditional teaching plan, a reform teaching plan and an assessment scheme, and outputting an assessment result after the data collection is completed; a data processing module is adopted to process data, input data comprise data from a data collection module, and output results comprise data of a control group and an original group; analyzing data by adopting a data analysis module, wherein the input data comprises a control group and original group data output by a data processing module; the output result comprises the significance score of the teaching reform.

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.

This invention discloses an AI-based online teaching management method and system, relating to the field of teaching management technology. It involves acquiring an image dataset of a target user, enhancing the images in the dataset to obtain a target image set, which contains multiple target images. Three-dimensional construction is performed on the target images in the target image set to obtain structural features, and feature extraction is performed on the target images in the target image set to obtain feature groups. The feature groups include global features and local features. The feature groups and structural features are input into a state recognition model to obtain a state score, and warnings are issued to the target user based on the state score. By acquiring and enhancing images, structural features and global and local features of facial movement can be accurately extracted and input into the state recognition model, enabling real-time and accurate identification of the user's learning state, thus improving the recognition success rate.

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 invention discloses a method and a system for online teaching, a storage medium and a processor, relates to the technical field of online teaching, and solves the problems that an existing online teaching method is difficult to accurately evaluate the learning condition of each student, so that a teacher is difficult to adjust a teaching mode in a targeted manner according to the learning condition of the students, and the teaching efficiency is improved. And the learning effect of online teaching is not good. According to the invention, the online teaching video is improved based on the general difficulty set; generating a special question set of each student based on the individual difficulty set; performing exercise test on the corresponding student based on the special item exercise set of each student to obtain the course mastering degree of each student; and the teaching mode of the teacher is adjusted based on the course mastering degree of each student. According to the method, dynamic optimization of an online teaching strategy is realized through a technical means, and group common demands and individual differences are considered, so that the teaching quality and the learning effect of online teaching are improved.

The invention relates to the technical field of education, in particular to an education informatization integration system. The system is characterized in that the system comprises an integrated system, and the integrated system comprises a teaching resource management module, an online teaching platform module, a learning management system module, an intelligent evaluation and feedback module, and an education data analysis platform module. The education informatization integration system has the beneficial effects that the education informatization integration system comprises the teaching resource management module, the online teaching platform module, the learning management system module, the intelligent evaluation and feedback module and the education data analysis platform module; a series of practical functions such as acquisition and integration, editing and creation, sharing and distribution, live teaching, course recording and playback, virtual laboratory, information management, progress tracking, evaluation and feedback, automatic correction, capability assessment, quality assessment, acquisition and integration, analysis and mining, visualization and decision support are realized; and the technical advantages of an educational informatization integration system are scientifically and systematically integrated.