118 results about "Educational content" patented technology

The invention discloses an active multi-mode education agent system and method, and belongs to the technical field of artificial intelligence education. The system adopts an end-cloud collaborative architecture and comprises two parts, namely end-side equipment and a cloud micro-service system. The end side device is responsible for collecting multi-modal data (emotion data, behavior data and content data) of a learner in real time and carrying out preprocessing and feature extraction. The cloud micro-service system comprises an API gateway service, a state reasoning service, an active response generation service, a multi-modal content generation service and a TTS service, and is used for processing and analyzing the multi-modal data and generating a personalized active response. According to the method, the confusion state of a learner can be actively perceived, the cognitive state is inferred based on a multi-modal data fusion algorithm, personalized education content is generated according to the cognitive state, a perfect service degradation strategy is provided, and the reliability and learning effect of the system are improved.

The present invention provides a machine learning-based system designed to automatically generate and associate classes or videos offered on an educational platform with topic tags. The machine learning-based system leverages both extractive and predictive topic tagging techniques: extractive tagging identifies relevant topics directly from content, while predictive tagging uses machine learning models trained on pre-tagged content to predict relevant topics for new content. This dual approach ensures both accuracy and comprehensiveness in tagging.

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 application relates to the technical field of data management control, and particularly discloses a data management control method and system based on a maternal and infant one-stop learning cloud platform, which comprises the following steps: based on real-time collected maternal and infant physiological data, maternal and infant historical health records and user learning behavior data, a multi-modal maternal and infant user portrait containing dynamic health state labels and dynamic learning ability labels is constructed; based on multi-modal maternal and infant user portraits of all maternal and infant users, multi-dimensional health horizontal comparison factors of pregnant women and fetuses or infants in each maternal and infant user under each division attribute and each division level are determined, and maternal and infant health deviations of each maternal and infant user are analyzed; based on the multi-dimensional health horizontal comparison factors of the pregnant women and the fetuses or the infants in each maternal and infant user under each division attribute and each division level and the maternal and infant health deviations, intelligent adaptation of multiple services is driven; and a closed loop from health deviation to education content, health plan and deviation improvement is formed.

A system and method are disclosed for generating personalized motivational, wellness, educational, and entertainment multimedia content using multimodal artificial intelligence. The system constructs an Emotion State Vector (ESV) from user inputs, diaries, biometric data, and context. A Modality Script Generator (MSG) defines time-coded orchestration across music, narration, captions, and visuals. Scripts execute via a Model-Agnostic Adapter Layer (MAAL) across heterogeneous Al engines. A Synchronization Graph (SyncGraph) maintains acceptable inter-modal drift, while a Dynamic Media Formatter (DMF) applies bounded repair policies and packages synchronized outputs with timed metadata. A Policy / Constraint Graph enforces rights and provenance, logged in a Transform Manifest.

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.

We provide the system. [Solution] An information processing device that analyzes user registration information and automatically screens the suitability of membership, A recommendation device that analyzes the user's learning history and recommends relevant educational content, An access control device for a company to access the learning history of the aforementioned user and conduct recruitment activities, A system that includes this.

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.

An object of a system according to an embodiment is to effectively improve the financial literacy of young people.SOLUTION: A system in accordance with an embodiment includes a micro-learning financial app, a AI guided virtual stock trading game app, and a community platform for financial literacy improvement. The micro-learning financial application provides financial education content that can be learned in a short time. The virtual-guided virtual stock trading game app assists users in learning practical financial knowledge through AI stock trading. A community platform for improving financial literacy provides a place for users to share information and learn from each other.SELECTED DRAWING: Figure 1

An electronic device and method for providing parent education content regarding children's problematic behaviors, according to one embodiment of the present invention, may comprise: a memory; a display; and a control unit that executes a digital therapeutic application in response to a user's execution request, controls the display to display a screen of the digital therapeutic application, controls the memory to store record information inputted by the user and including daily behavior records and observation records for a specific child, analyzes the stored record information to output education content for reducing a specific problematic behavior in a predetermined order, compares additional record information inputted after the education content is outputted with the stored record information, and controls the display to display an analysis result of the record information. Various other embodiments are possible.

The invention relates to the technical field of medical health information, and particularly discloses an esophageal cancer postoperative rehabilitation education strategy construction method and system based on a knowledge graph. A field ontology model fused with a diet tendency entity is constructed, a structured postoperative rehabilitation knowledge graph is created, a patient rehabilitation state model is designed, evaluation and tagging processes of individualized diet tendency jointly influenced by genetic and environmental factors are particularly integrated, and an educational strategy matching engine is used for matching the individualized diet tendency with an educational strategy. And according to the patient multi-dimensional state instance including the diet tendency label, activating the corresponding matching rule, intelligently retrieving and filtering the education content which not only conforms to the current rehabilitation stage and health problem, but also adapts to the specific diet tendency from the knowledge graph, and finally integrating to generate a highly personalized rehabilitation education strategy. According to the invention, the conversion from universal education to precise and individualized guidance is realized, and the pertinence and practicability of rehabilitation education are remarkably improved.

The invention discloses an AIGC-driven traditional cultural life education interaction system, which belongs to the field of cultural education and comprises a resource integration module, a situation creation module, a comprehensive evaluation module and a life criterion landing module. The resource integration module is used for collecting traditional cultural life education resources, performing intelligent processing on the resources through an AIGC technology, and constructing a structured digital resource library; the situation creation module generates immersive experience interaction content through AIGC based on the digital resource library, and realizes dynamic interaction between the learner and the traditional cultural life education content; by means of the AIGC technology, traditional cultural life education resources are converted into diversified forms such as 3D scenes, virtual interaction content and role playing games, a traditional single character and static teaching mode is replaced, the interestingness and immersion of learning are enhanced, cognitive lassitude is effectively relieved, and the intention of active participation of learners is stimulated.

We provide the system. [Solution] Means for obtaining information on salary receipts, expenses, and savings, A means of integrating the acquired information to create a user profile, A means of analyzing spending patterns and proposing the optimal budget allocation, A means of automatically allocating the remaining amount after deducting fixed expenses and budget from the aforementioned salary to savings or investments, A means of generating and providing financial data as a report in natural language, A means of generating answers to user questions and providing educational content, A system that includes this.

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.

A system is provided.SOLUTION: A system for providing gender AI support services using generated equities, comprising: means for accepting user registration and creating a user account; means for providing educational content and collecting and analyzing user learning progress; means for performing unanimous bias checks and providing improvement suggestions to users; means for analyzing consultation content and presenting solutions; and means for collecting user feedback and improving services.SELECTED DRAWING: Figure 1

To provide a training mail system capable of performing actually experienced junk mail training and junk mail education for acquiring knowledge by viewing contents in cooperation with each other.SOLUTION: A training mail system 100 includes user terminals 110, manager terminals 120, and a server 130, and browsers 121 of the manager terminals 120 display a training execution setting screen 124 on which training name information TG1 and content information ED2 for training can be freely designated. When the educational name information ED1, the trainee name information TG1, and the educational content information ED2 are inputted and designated on the educational implementation setting screen 124, the server 130 registers the educational name information ED1, the trainee name information TG1, and the educational content information ED2, and the server 130 transmits the educational guidance e-mail EDM related to the educational content information TG1 to the user terminals 110 based on the trainee information associated with the registered trainee name information ED2.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: A system comprising: means for generating personalized educational content based on input information of a user using generative artificial intelligence; means for providing the generated educational content to a terminal of the user; and means for collecting and storing feedback of the user on the educational content displayed on the terminal.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: This system is provided with a means for allowing an educator to input educational contents to a terminal, a means for transmitting the educational contents from the terminal to a server, a means for allowing the server to evaluate the educational contents by using a generation type artificial intelligence model, and to correct and reinforce them as necessary, a means for disclosing the corrected and reinforced educational contents on a platform, and a means for allowing a user to use the disclosed educational contents.SELECTED DRAWING: Figure 1

The application relates to the technical field of medical health information, and particularly discloses an esophageal cancer postoperative rehabilitation education strategy construction method and system based on a knowledge graph. A domain ontology model fusing a dietary tendency entity is constructed, a structured postoperative rehabilitation knowledge graph is created, and a patient rehabilitation state model is designed, wherein an evaluation and labeling process of individualized dietary tendency affected by genetic and environmental factors is particularly integrated. Through an education strategy matching engine, a corresponding matching rule is activated according to a patient multi-dimensional state instance containing a dietary tendency label, education content that conforms to a current rehabilitation stage and a health problem and is adapted to a specific dietary tendency is intelligently retrieved and filtered from the knowledge graph, and finally a highly personalized rehabilitation education strategy is integrated and generated. The application realizes a change from general education to accurate and individualized guidance, and significantly improves the pertinence and practicality of rehabilitation education.

An object of the system according to the embodiment is to provide educational content customized according to a student's learning style and to realize an immersive learning experience.SOLUTION: A system according to an embodiment includes a learning style analyzer, an educational content provider, and a VR participant. The learning style analyzer analyzes the student's learning style and progress. The educational content providing unit provides the customized educational content based on the result analyzed by the learning style analyzing unit. The VR participant leverages VR technology to join an interactive and immersive class.SELECTED DRAWING: Figure 1

The application relates to the technical field of speech recognition, and particularly discloses an artificial intelligence education system interaction method based on speech recognition, which comprises the following steps: obtaining a speech data stream; extracting repetitive speech segments in the speech data stream; extracting acoustic feature modes of the repetitive speech segments; determining specific education needs K according to the extracted acoustic feature modes and a constructed personalized mapping library; obtaining education content materials based on generated content retrieval instructions, integrating the education content materials and current interaction context information, forming a customized interaction response sequence, and executing the interaction response sequence through an output device. The application recognizes and interprets repetitive speech modes of special children, establishes a personalized mapping library, realizes accurate demand recognition and customized calling of education content, and improves interaction understanding and education intervention effect.

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.

A system is provided.SOLUTION: A system comprising: means for detecting and blocking inappropriate content using production-based artificial intelligence; means for updating an inappropriate content list based on collected data; means for evaluating the appropriateness of content a user attempts to access based on the inappropriate content list; means for recommending educational content; means for collecting and enabling remote monitoring of user usage; and means for parents to provide feedback.SELECTED DRAWING: Figure 1

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.

The invention discloses an education content personalized recommendation system based on deep learning, and relates to the field of education technology and deep learning, and the system comprises a multi-modal data processing module which collects and processes four types of data, and forms a standardized vector; the target disassembling and mapping module is used for disassembling a macroscopic target into microscopic sub-targets and generating a list and a mapping table; the ability and interest modeling module evaluates ability and constructs an interest model; the resource recombination recommendation module screens and pushes combined resources; the feedback iterative optimization module collects feedback, updates data, optimizes parameters and reversely transmits the parameters; according to the method, a personalized learning path is constructed through a multi-modal data processing and target dynamic disassembly technology, and the requirements of learners are accurately evaluated in combination with multi-dimensional capability quantification and interest modeling; and meanwhile, a resource intelligent recombination recommendation mechanism is adopted, a comprehensive and high-timeliness resource list is generated based on an adaptation degree algorithm, and a feedback closed loop is formed to continuously optimize system parameters, so that the learning experience and effect are remarkably improved.

We provide the system. [Solution] A means for the user to input the desired learning content and desired date and time, A means for receiving the input learning content and desired date and time, A means of analyzing the received learning content and extracting the relevant categories and topics, A method for selecting instructors based on the analysis results and matching them with the instructors' schedules, A method for determining instructors who match or are available at a time that is close to the user's preference, Means for notifying the selected instructor and the generated educational materials, A means of providing online classrooms in which users and instructors can participate, based on the aforementioned notified educational content, A system that includes this.

The application relates to the technical field of education content generation and distribution, and discloses an AI-based multimedia labor education content dynamic generation and distribution system and method, which comprises a response module, a feedback module and an adjustment module. The method corresponds to the system. The application realizes dynamic and intelligent closed-loop iteration of labor education content generation and distribution, completes quantitative setting of parameters to make the propagation efficiency determination more accurate, provides reliable data support for subsequent analysis, improves the precision of potential audience feature extraction through a suboptimal data screening method of hierarchical clustering, makes the content and platform adjustment more targeted, integrates student group linkage behavior characteristics, makes the propagation combination highly adapt to the propagation and behavior characteristics of the student group, and effectively improves the group reach rate, participation and collaborative propagation effect of the labor education content.

The invention discloses a new problem scene-oriented multi-modal large model knowledge tracking method, which is characterized in that modal level fusion is realized by adopting a perception coordination module, vision, text and context input are aligned, and rich problem characterization is constructed; problem-level fusion is realized through a cognitive integration module, multi-modal clues and learner interaction history are dynamically integrated, and a potential knowledge state is deduced under the condition of not depending on a question ID; and through an adaptive generalization module, representation is dynamically generated for unseen problems based on semantic similarity, and zero sample migration is realized. Compared with the prior art, the method has the advantages that zero sample knowledge without problems is tracked, so that the MKT-LLM can truly realize zero sample generalization to open and real world education content, and the limitation that an existing knowledge tracking method cannot be generalized to a new problem is effectively solved; the method can be widely applied to an intelligent education system, a self-adaptive learning platform and an interactive tutoring system, and provides technical support for personalized education in an open learning environment.

An electronic system and method for providing interactive educational content and immersive learning experience are disclosed. According to one embodiment,?