31 results about "Educational content" patented technology

This invention provides an artificial intelligence-based method and system for automatically generating online educational content, relating to the fields of internet big data services and cloud computing technology. By constructing a semantic energy envelope interference engine, this invention achieves deep coupling of online educational resources in terms of temporal activity and spatial logic. This not only enhances the logical continuity and academic freshness of interdisciplinary generated content but also effectively suppresses redundant computation of invalid resources through energy coherence judgment logic. While ensuring content purification, it significantly reduces the invalid load on the cloud search engine, enhances operational robustness under conditions of interruption or fluctuation in massive information flow, and provides a highly stable technical foundation for next-generation intelligent search of massive information and cloud services for educational content.

The present disclosure provides a system and a method for authoring and automatically digitizing the printed and well as handwritten educational content inside an input image with a plurality of input characters. The method comprises the steps of receiving and processing an input image by a pre-processing module to identify and obtain a plurality of input characters from the input image, digitizing the plurality of input characters into the output string representations by a digitizing module, combining the plurality of output string representations using a post-processing module which is outputted in a computer-readable format, delineative text, and a markup language. Further, the system is based on the Convolution Neural Network (CNN) that may provide an embedded editing module allowing one or more users to make corrections and create new content. The CNN system may be retrained iteratively based on the editing performed by the users on the output strings representations to ensure high accuracy, better performance, and to avoid / reduce the error rate.

This invention belongs to the field of educational artificial intelligence technology. It discloses a large-scale educational model architecture for personalized learning. Through a "knowledge graph-model joint fine-tuning-knowledge distillation" framework, it addresses problems in educational AI applications such as insufficient knowledge accuracy, high deployment costs, and inadequate personalized support. This invention first constructs an educational knowledge graph, encoding structured knowledge through a relation-type-aware graph neural network. Then, it fuses this knowledge with a large language model through cross-attention, optimizing the model's understanding of educational content through a joint loss function. Finally, it generates lightweight vertical category models through multi-level knowledge distillation. This invention combines user learning profiles and knowledge forgetting patterns to provide learners with personalized content and learning paths. This invention significantly improves the reliability of educational content, effectively reduces model illusions, greatly lowers deployment costs, and achieves accurate identification of knowledge gaps and scientific learning path planning.

1.The name of the design product: propaganda board (with backlight). 2.The use of the design product: for propaganda and display of educational content. 3.The design points of the design product: in the perspective view. 4.The picture or photo that best indicates the design points: perspective view. 5.The design claimed contains color.

The application belongs to the technical field of artificial intelligence and intelligent education, and discloses a knowledge graph joint decoding method and system based on coverage planning and backtracking navigation for education content generation, which is used for solving the problems of incomplete knowledge coverage and disorder of teaching preposition dependency in automatic generation of education content. The method contains three cooperative mechanisms: pre-decoding coverage planning, learning order constraint topological sorting based on an education knowledge graph to generate a teaching planning sequence and allocate a length budget; double-head joint decoding, maintaining a graph cursor, and outputting teaching text and navigation actions through the cooperation of a word prediction head and a navigation prediction head, and fusing graph embedding through a gating mechanism; preposition dependency backtracking, automatically inserting teaching review text and then restoring when a preposition knowledge reference intention is not covered, and simulating instant knowledge connection in teacher teaching. The knowledge coverage rate of the method is 98.3%, and the preposition dependency violation rate is less than 0.5%.

Methods and systems directed to a computer-implemented educational content delivery system that integrates media content with curriculum projects through streaming technology are disclosed. An example system includes a central server hosting educational content, a content management system for mapping educational objectives to entertainment content, and a learning management system providing user authentication and adaptive learning pathways. The system tracks user engagement and comprehension levels in real time through a student interface and teacher portal. The system includes features for geo-locational content customization, blockchain-enabled content verification, and streaming-only assessments. The architecture supports multi-device synchronization and incorporates collaborative virtual spaces for peer-to-peer interaction. The system processes user interaction data through machine learning algorithms to provide dynamic content adjustments and personalized learning experiences. An example method provides DRM-compliant integration of educational and entertainment content to user devices, and supports updating the content based on user engagement metrics.

We provide the system. [Solution] A means of human-machine interface for receiving voice input, A natural language processing means that converts received voice input into string data, Information analysis tools for acquiring fraud-related information and analyzing its risk level, Information provision means to provide users with the results of the analysis, An emotional analysis tool that analyzes the user's psychological state and provides appropriate feedback, Educational and training methods to provide simulations and educational content for fraud prevention, A system that includes this.

We provide the system. [Solution] A means of analyzing learners' abilities based on user information, A means for generating adaptive educational content based on the aforementioned learner ability analysis, A means for generating answers to questions from learners based on the aforementioned generated educational content, A means for generating an appropriate review schedule based on the learner's learning progress, A means for detecting the learner's pronunciation via a voice control component and providing real-time feedback, A system that includes this.

This invention discloses a method and system for managing student internet access time based on an encrypted network. It employs a multi-stage user adaptation model to deeply analyze time-series data, tailored to the learning needs of different educational stages, to accurately generate differentiated time-segment control requirement descriptions and access restriction specifications that match the current stage and time. Subsequently, based on these differentiated time-segment control requirement descriptions, execution rules are derived to dynamically generate personalized access control rules applicable to the current time. When a user initiates an authentication request, after successful unified identity authentication, the system determines whether the user is currently within an allowed access period based on the control rules. If allowed, a temporary key generation mechanism is triggered to establish a secure communication link and unlock compliant paths. Simultaneously, target resources are filtered, allowing only educational content. This invention significantly improves the effectiveness of internet protection for minors and enhances their focus on learning.

NatureScope is an innovative, AI-powered educational exploration device designed to inspire children to discover and learn about the natural world. Equipped with a high-sensitivity microphone for capturing bird calls alongside a camera module for images of plants and insects, NatureScope uses a sophisticated AI Identification System to provide real-time audio and visual identification and educational content on an integrated LCD screen. Designed ergonomically for young explorers, the device supports offline functionality, facilitating exploration in remote areas. It includes features such as a specimen collection tray and options for magnifying lenses or microscope attachments to enhance detailed study. NatureScope offers various educational modes, such as Audio Explorer and Microscope Modes, with content dynamically tailored to seasonal, geographic, and age-specific variations, enhancing STEM learning opportunities.

This disclosure provides systems, methods, and devices that enable interactive sessions between users and physical toy characters using a computing device. In one aspect, a method is provided that includes receiving, by a first computing device, identifiers associated with physical toy characters and user inputs, such as interaction mode selections or audio inputs. The method involves transmitting a session request based on this information to a second computing device, which generates a response using a machine learning model. The response, which may include narrative stories, conversations, or adventures involving the toy characters, is then presented to the user through audio or visual outputs. Additionally, features such as haptic feedback, character-specific settings, and environmental context data can enhance the interaction. The system can also retrieve educational content and integrate accessories and interactions between multiple toy characters, thereby offering a rich, personalized experience for the user. Other aspects are provided.

This invention discloses a method, system, and device for presenting tree information and educational content, applied to a WeChat mini-program. The method includes: setting a root node for each tree species containing immutable basic taxonomic features, and assigning dynamic sub-nodes defined by three dimensions: region, phenological period, and growth environment; collecting user-submitted native tree observation data, extracting tree morphological feature vectors, LBS geographic grid data, user-supplemented fields, and collection identifiers; when user observation data in the same scenario reaches a preset quantity and similarity threshold, updating the average feature value and deviation range to the feature library of the corresponding dynamic sub-node; obtaining user LBS location and seasonal context data, calling the dynamic sub-nodes to obtain scenario-based feature deviation thresholds and dynamically adjusting matching weights, completing secondary precise matching, and outputting search results; and dynamically generating digital twin archives containing phenological change timelines and ideological and political growth values ​​based on empirically verified user observation data belonging to trees.

The present invention relates to a system for providing diabetes educational content customized on the basis of health literacy, and a method therefor. According to the present invention, the system may comprise: a display unit for displaying, to a user, a plurality of pre-stored health literacy evaluation questions or diabetes educational content; an input unit for receiving an response of the user for each displayed health literacy evaluation question; an analysis unit for evaluating health literacy of the user by assigning, to the input responses of the user, a pre-set score for each question; and a control unit for transmitting a control signal so as to display the pre-stored diabetes education content on the display unit according to the health literacy of the user.

The application discloses a diabetes education and training platform combining a virtual scene and an AI video two-dimensional code, and belongs to the technical field of digital health. The platform comprises the following modules: a user data acquisition module, which acquires multi-source data of users; a user portrait construction module, which constructs a dynamic user portrait based on data; an AI video generation module, which automatically generates a personalized education video according to the portrait and a knowledge graph; a two-dimensional code generation and distribution module, which generates a traceable dynamic two-dimensional code for the video; a mobile terminal, which is used for playing the video and providing virtual scene interaction; a virtual scene interaction module, which constructs a simulated real scene for user practice; a learning feedback and optimization module, which collects user behavior data and physiological improvement data, and continuously optimizes the user portrait and the video generation model. Through personalized content generation, scene-based practice and closed-loop optimization, the application solves the problems of traditional education content homogeneity, low participation and separation of knowledge and practice, and significantly improves the education effect and user compliance.

This invention provides an intelligent interactive system, method, readable storage medium, and electronic device with speech and behavior guidance functions. The system includes modules for data collection, cleaning, analysis, and prompt word construction, as well as a large language model invocation module. The system collects user dialogue and behavior data, extracts language and behavioral features, analyzes speech and behavior requiring improvement, and constructs prompt words containing behavior correction guidance scripts. By invoking a large language model, personalized text stories or educational content are generated. This invention solves the technical problem of how existing intelligent interactive systems can effectively monitor, analyze, and guide users to correct inappropriate speech and behavior. Through an integrated intelligent interactive system, it achieves real-time analysis and personalized feedback of user behavior, enhancing the user experience.

We provide the system. [Solution] A memory device for accumulating information on individual learners, A processing means that generates educational tasks suitable for individual learners using a generative model, Means for providing a user interface for displaying generated educational assignments, A processing means that receives learners' answers to assignments and provides evaluation and response, A means of selecting and distributing educational content in specific fields based on users' interests, A system that includes this.

This application relates to the field of smart home technology and discloses a multifunctional mirror integrating health monitoring and intelligent interaction. The device includes a semi-transparent, semi-reflective mirror body with a display module, a multispectral camera, and a control panel. The system operates data processing logic, using visual algorithms to locate the facial ROI area, and employing orthogonal projection in color space to separate pulse signals to monitor heart rate and body temperature. It identifies the user's identity through deep learning feature matching and automatically switches between adult and child modes. Based on skeletal key point tracking, it determines brushing behavior and times it. The system intelligently pushes information or educational content based on user attributes, time period, and actions, and combines visual coordinates to guide microphone array beamforming, using a logarithmic mapping model to adaptively adjust the backlight. This invention effectively improves the robustness of non-contact physiological monitoring under complex lighting conditions and achieves personalized health guidance and interaction.

This invention discloses a safety education content delivery system and method based on driving behavior analysis, relating to the field of traffic safety technology. The proposed solution includes a driving data collection module, a driving behavior analysis module, a safety education resource library module, a personalized delivery decision module, a content delivery execution module, and an effect feedback optimization module. This invention not only accurately extracts driving behavior characteristics and assesses risks through multi-dimensional data collection and advanced models, identifying driver behavioral shortcomings and potential hazards, but also dynamically matches driver risk levels and learning styles based on a tagged resource library and priority model to deliver personalized educational content, solving the problem of homogenization. Furthermore, it constructs a closed-loop feedback optimization mechanism, continuously optimizing models, materials, and strategies based on feedback data to improve educational effectiveness. It adapts to various driving scenarios and usage habits, exhibiting strong compatibility and practicality, effectively correcting non-standard driving behaviors, and reducing the accident rate.

This invention discloses a patient education system and method based on augmented reality (AR) scenario simulation. The system includes an AR wearable terminal, a motion capture and data acquisition device, a virtual scene construction and interaction device, an intelligent assessment and feedback device, a cloud data management device, and a medical staff terminal. Medical staff input patient information and push suitable scenarios through the medical staff terminal. Patients wear the AR wearable terminal to enter the virtual scene. The motion capture and data acquisition device collects movement trajectories and electromyographic signal data, which are calibrated and fused for scene branch evolution and movement deviation analysis, generating an assessment report and pushing personalized supplementary educational content. This invention achieves immersive and precise patient education, improves patient participation and educational effectiveness, and reduces the burden on medical staff.

This invention discloses a method and system for recommending educational content based on swarm intelligence. The method includes: constructing a dynamic cognitive knowledge graph for users, where the memory strength attribute of knowledge point nodes is dynamically decayed based on a cognitive forgetting model and combined with memory stability; defining pheromones on the edges of the knowledge graph and strategically injecting exploration pheromones according to the user's forgetting state or knowledge breadth index; guiding a swarm intelligence algorithm to construct learning paths based on rules jointly influenced by bimodal pheromones; and finally determining the optimal path and generating recommendations. This invention, through a deep integration of cognitive science models and a bimodal pheromone-based swarm intelligence algorithm, achieves precise intervention in the learning process and intelligent guidance for knowledge exploration, significantly improving the stability of learning, effectively breaking down information cocoons, and enhancing the interpretability of recommendations through path intent analysis.

Provide a system. 【Solution means】 Means for receiving user information and generating an individualized profile based on that information, Means for converting voice input into text data and performing natural language processing on the text, Means for converting the generated text response into voice data and providing it to the user, Means for generating learning content and recording the user's learning status, Means for adjusting the knowledge processing system using the recorded data, Means for recognizing an object from visual information and providing information, Means for selecting educational content based on the conversation and presenting it to the child, A system including the above.

According to an embodiment of the present disclosure, a method for providing user-customized educational content based on keyring-based living radius information includes receiving location data of a user from the keyring, calculating the living radius of the user based on the location data, confirming education history data of the user, generating an instructor list corresponding to the education history data based on the calculated living radius, and providing the instructor list to the user.

This invention discloses an intelligent method and system for generating educational content, relating to the field of content generation technology. An intelligent educational content generation system includes: a needs acquisition module, a student knowledge graph generation module, an intelligent content generation module, an emotional content optimization module, a learning community optimization module, and a content protection module. This invention collects students' learning needs information, generates personalized needs reports, and constructs student knowledge graphs based on these needs; it uses an intelligent educational content generation model to tailor interdisciplinary learning content with dynamically adjusted difficulty for each student, effectively improving learning efficiency and experience; and through real-time emotion detection and learning community optimization, it meets students' learning needs and pays attention to their emotional state, enhancing students' learning motivation and engagement, and contributing to the achievement of more comprehensive learning goals.

Collaborative healthcare platforms facilitate remote collaboration related to medical procedures during the preoperative, intraoperative, and postoperative phases of a medical case. The platform receives assessment requests from practitioners, along with selections of a framework for the assessment and data snippets describing the execution of the medical procedure. The platform can then send the assessment request, including the selected framework and snippets, to the assessing practitioner who has chosen the assessment results. Alternatively, the platform applies an assessment model to the selected framework and snippets to automatically generate assessment results. These results can be used to select educational content items for the practitioner.

The present application relates to the technical field of online education, and proposes an education content delivery method and system based on live learning optimization, comprising: collecting voice and image information of students in each classroom node cycle, evaluating their interactive behavior, and generating a trusted fusion state; constructing a virtual classroom space with the teacher located in the center; each learning group is assigned a unique circular angle, and the straight-line distance is determined by the trusted fusion state; and labeling the basic information and real-time state attribute keywords of students in the virtual classroom, with the real-time state attribute keywords represented by color and / or text labels to represent the classroom concentration; the present application completes multi-modal perception and data dimension reduction processing on the terminal side, only transmits low-dimensional state parameters, realizes privacy protection and low-latency response, and significantly improves the real-time performance, interactivity and teacher decision-making efficiency of online teaching.

The application discloses a kind of education content generation-oriented navigation based on knowledge graph combined decoding method and system, belong to artificial intelligence and education technology cross field.This method contains three cooperative mechanisms: pre-decoding coverage planning, topological sorting is executed based on the front dependency relationship of education course knowledge graph and distributes teaching content generation length budget according to Bloom cognitive hierarchy;Double-head combined decoding, maintain graph cursor in autoregressive decoding, output teaching text and knowledge point teaching transition action by Token prediction head and navigation prediction head cooperation;Front dependency backtracking, when detecting that reference is not explained front knowledge, automatically pause and insert review explanation after recovery, simulate teacher immediate knowledge review.

This invention discloses a CHI index assessment and decision-making intervention system that links consumer emotions with behavior, relating to the fields of consumer behavior analysis and intelligent decision-making technology. It includes a multimodal consumer data collection and fusion module, a CHI consumer health index assessment module, a consumption and psychological correlation analysis and intervention module, a full-process intelligent decision-making intervention module, a personalized consumer education empowerment module, and a consumer community interaction and data visualization module. This invention improves collection accuracy by optimizing OCR / speech recognition and data complementarity verification; it uses a random forest and GBDT fusion model to calculate the CHI index, achieving multi-dimensional consumer health assessment; it accurately identifies and alleviates consumer anxiety based on a fine-tuned large model and CBT; it effectively reduces irrational consumption through TCN real-time early warning and cooling-off period interception; it pushes tiered financial literacy education content based on user profiles; and it forms a complete ecological closed loop with an anonymous community and data visualization.

The system according to this embodiment aims to safely and educationally manage children's smartphone use. [Solution] The system according to the embodiment comprises a filtering unit, a monitoring unit, a control unit, a recommendation unit, and a maintenance unit. The filtering unit filters and blocks educationally inappropriate content. The monitoring unit allows parents to monitor their children's smartphone usage. The control unit remotely controls the system based on the information monitored by the monitoring unit. The recommendation unit analyzes the children's smartphone usage history and recommends educational content. The maintenance unit performs security updates and maintenance.

Provide a system. 【Solution means】 An information acquisition device that collects information in real time from an external data supply institution, A position data acquisition device that acquires position information by using the GPS function of a terminal to identify the current geographical position of a user, An evacuation route generation device that calculates an optimal evacuation route for a user based on the acquired position data and real-time external information, A notification creation device that generates and notifies individualized alarms and information according to the position information and settings of a user, An education information providing device that provides interactive education content for enhancing the disaster prevention awareness of a user in normal times, A multilingual support device that provides notifications and education information in multiple languages based on the language settings of a user, A device that automatically generates an optimized evacuation route within a staying area based on the information acquired in real time, A device that performs language conversion based on the settings of a user, A system including the above.