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82 results about "Learning Management" patented technology
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Learning Management is the capacity to design pedagogic strategies that achieve learning outcomes for students. The learning management concept was developed by Richard Smith of Central Queensland University (Australia) and is derived from architectural design (an artful arrangement of resources for definite ends) and is best rendered as design with intent. Learning management then means an emphasis on ‘the design and implementation of pedagogical strategies that achieve learning outcomes. That is, in the balance between and emphasis on curriculum development and pedagogy, the emphasis is definitely on pedagogical strategies. Underpinning the learning management premise is a new set of knowledge and skills, collectively referred to as a futures orientation and which attempt to prepare the mindsets and skill sets of teaching graduates for conditions of social change that pervade local and global societies in the 2000s. The practitioner of learning management is referred to as a learning manager. Adjunct to the theory and practice of learning management is the Learning Management Design Process (LMDP). The LMDP is a curriculum planning process comprising 8 'learning design based' questions. The process was developed by Professor David Lynch of Central Queensland University in 1998 and is used primarily as a tool to train teachers to teach [3] . These 'eight questions' when answered in sequence focus the teacher to what is important when planning to teach students. The LMDP organises its 8 questions through three sequential phases: Outcomes, Strategy and Evidence. Each phase represents the bodies of information that its associated questions seeks to pursue. THe LMDP represents a rethink of the various curriculum development models that have predominated the planning of teaching and curriculum in the developed world over past decades. The teacher develops their 'teaching plan' by engaging with each phase and its questions and recording ‘findings’ (or answers) in plan form.
Online course learning management method and system based on knowledge graph
The invention discloses an online course learning management method and system based on a knowledge graph, and the method comprises the steps: S1, analyzing course data, extracting knowledge points and an association relationship, and generating an initial knowledge graph signal containing knowledge point nodes and association edges; s2, collecting user interaction behavior data and extracting behavior features to generate behavior feature vector signals associated with knowledge point nodes; s3, detecting an abnormal learning mode, triggering a knowledge graph weight updating signal, and dynamically adjusting the associated edge weight; s4, updating the signal according to the initial knowledge graph signal and the knowledge graph weight; and S5, responding to the path optimization signal, and generating an interface sorting adjustment signal and a content push signal. According to the air quality intelligent monitoring system based on sensing data feedback, the problem that a traditional online course management system is single in data acquisition dimension and static and solidified in knowledge dependency relationship can be solved.
Owner:SHANGHAI QISHI INFORMATION TECHNOLOGY CO LTD
Multi-agent cooperative reasoning system for intelligent teaching intervention
PendingCN120471736AData processing applicationsDatabase management systemsLinguistic modelDecision model
The invention discloses a multi-agent collaborative reasoning system for intelligent teaching intervention, and relates to the technical field of artificial intelligence and education, and the system comprises a data collection and convergence module which collects data of learning behaviors, emotional states, academic scores and knowledge point mastering conditions of students by means of a classroom behavior analysis system, a camera, a microphone and a learning management system; according to the intelligent teaching intervention-oriented multi-agent collaborative reasoning system, the precision and individuation of teaching intervention are realized by constructing the intelligent teaching intervention-oriented multi-agent collaborative reasoning system, the system collects multi-dimensional data of students through the data acquisition and convergence module, and through the processing of the data conversion and cleaning module, the accuracy and availability of the data are ensured; the teaching strategy planning module generates a dynamic decision model by means of a large language model, a customized intervention strategy can be generated according to the learning condition and problem root of students, and the multi-agent collaborative reasoning module further improves the intelligent level of the system.
Owner:WUSHI LIANCHENG (SHANGHAI) INFORMATION TECH CO LTD +1
Language learning auxiliary application system based on speech recognition
The invention discloses a language learning assistance application system based on speech recognition, and belongs to the technical field of learning assistance. The system comprises an intelligent voice acquisition and enhancement module for realizing acquisition and preprocessing of high-quality voice signals in a complex environment; the multi-modal feature extraction module dynamically extracts and fuses multi-dimensional learning feature information, completes feature analysis and boundary segmentation of a phoneme level, and is responsible for feature normalization and optimization; the deep speech recognition module is used for realizing high-precision speech recognition based on the normalized features; the intelligent evaluation engine module is used for realizing real-time and multi-dimensional evaluation on the language performance of the learner; the personalized learning management module integrates the evaluation results for dynamically planning an optimal learning path for the learner, manages the learning progress, and provides learning effect prediction and intervention suggestions at the same time; and the learning interaction experience module is responsible for visual presentation of learning feedback, multi-modal man-machine interaction design and user interface optimization.
Owner:INNER MONGOLIA FINANCE AND ECONOMICS UNIVERSITY
An AI-based training recommendation system for personalized employee development
An AI-based training recommendation system (100) for personalized employee development, which includes the following: a module for creating user profiles that is configured to collect and analyze employee data, including job role, skills, learning history, performance indicators, and career aspirations; a module for real-time skills gap analysis that uses artificial intelligence to assess employee skills and identify areas for improvement; a training recommendation engine that uses machine learning algorithms to create personalized training suggestions based on employee data, company goals, and industry trends; a learning path optimization module configured to adaptively modify training recommendations based on employee progress, feedback, and evolving qualification requirements; an integration module for connecting to existing enterprise systems, including Learning Management Systems (LMS), HR platforms and performance management tools; a module for monitoring engagement and progress, designed to track employee participation in training, assess knowledge retention, and provide managers with insights; and an automated training planner configured to assign and prioritize training sessions based on employee availability and business requirements.
Owner:KHAIR MOHAMMAD AFGHANUL KINGSTON
Bulk cargo wharf intelligent equipment scheduling system and method, equipment and storage medium
The invention provides a bulk cargo wharf intelligent equipment scheduling system and method, equipment and a storage medium. The scheduling system comprises a data acquisition module; an information analysis and strategy generation module; a joint scheduling calculation module; a scheduling execution module; an execution feedback module; a model updating module; and a rule induction module. According to the method, a closed-loop liberalization system fusing semantic understanding, strategy generation and scheduling execution is constructed, so that the problem that unstructured information cannot be effectively utilized by a scheduling system is solved; scheduling parameters can be accurately extracted from unstructured data, even scheduling characteristic parameters are directly extracted from the unstructured data and structured scheduling strategy suggestions are generated, the data threshold of system intelligent transformation is reduced, a scheduling model is driven together with the structured parameters, a feedback learning mechanism is introduced, and the scheduling efficiency is improved. And efficient, intelligent and self-learning management of equipment scheduling is realized, so that the system can adapt to complex and variable port operation environments, and has good expansibility and generalization ability.
Owner:NEZHA SMART TECHNOLOGY (SHANGHAI) CO LTD
Online course learning management method based on knowledge graph
PendingCN121685219ADigital data information retrievalData processing applicationsPersonalizationPersonalized learning
The invention relates to the technical field of online education, and discloses an online course learning management method based on a knowledge graph. The method comprises the following steps: acquiring multi-modal learning behavior data of a learner, and extracting a deep learning state vector reflecting knowledge understanding depth, learning input degree and cognitive confusion through semantic fusion; and dynamically calculating and updating the logical relationship strength among the knowledge points in the course knowledge graph by using the vector, so that the knowledge structure can adaptively evolve along with the actual cognitive state of the learning group. And generating a real-time personalized learning path based on the updated knowledge graph and the current state vector of the learner. Meanwhile, according to cognitive confusion features in the state vector, intervention measures such as pushing of remedial resources, adjusting of content sequence or starting of self-adaptive testing are triggered in real time. According to the method, the dynamic optimization of the knowledge graph and the accurate and immediate response of learning intervention are realized, and the adaptability and management efficiency of online learning are improved.
Owner:SHENYANG UNIV
System and methods for self-learning management of next generation networks
Aspects of the subject disclosure may include, for example, a system including: one or more probes in a communication network; a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: collecting data from the one or more probes and application program interfaces of network elements in the communication network; converting the data into semantic vectors using an embedding model; storing the semantic vectors in a vector database; using foundation models to generate outputs based on the semantic vectors; generating synthetic data using a generative adversarial network, wherein the synthetic data is used test the foundation models; using federated reinforcement to incorporate human feedback into the semantic vectors; and managing the communication network based on the outputs. Other embodiments are disclosed.
Owner:AT&T INTELLECTUAL PROPERTY I L P
Systems and methods for creating and updating course material
Systems and methods for automatically creating and updating course materials are disclosed. A learning management (LM) system in accordance with the present disclosure comprises at least one memory and a processor in communication with the at least one memory. The processor is programmed to receive, from a teacher or other user, topic data corresponding to one or more lessons. The processor may be further configured to apply the topic data to one or more trained machine learning models to generate a topic summary corresponding to the one or more lessons; cause to be displayed, on a user computing device, the topic summary corresponding to the one or more lessons via a topic summary user interface; receive feedback on the one or more lessons via the topic summary user interface; and update a course syllabus based on the feedback on the one or more lessons.
Owner:FINANCEABLE PTY LTD
Teaching evaluation method and system based on artificial intelligence
The invention discloses a teaching evaluation method and system based on artificial intelligence, and relates to the technical field of teaching evaluation, and the method comprises the steps: constructing a student learning analysis time series data set based on an LMS learning management system integration platform; constructing a dynamic student learning behavior evaluation model by using an unsupervised learning algorithm, and generating a student personalized learning portrait; based on the personalized learning portrait of the student, combining the historical score data of the student and the learning progress of the student, utilizing a deep neural network optimization model to realize dynamic real-time prediction and self-adaptive adjustment of the learning state of the student, and generating a continuously updated student learning state evaluation map; and based on the continuously updated student learning state evaluation map, analyzing the relationship between the student learning progress and the teacher teaching effect, dynamically adjusting the student learning strategy and the teaching plan, and generating an artificial intelligence teaching evaluation scheme. The method has the beneficial effects that personalized and scientific teaching evaluation and optimization are realized, and the teaching effect and the learning achievement of students are improved.
Owner:EAST CHINA UNIV OF SCI & TECH
Method and device for predicting online open course learner satisfaction and electronic equipment
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.
Owner:ARMOR ACADEMY OF CHINESE PEOPLES LIBERATION ARMY
Artificial intelligence gamified learning management system for financial literacy and multi-asset trading
An artificial intelligence-powered gamified learning management system is disclosed, designed to enhance financial literacy and stock trading education. The system integrates adaptive learning, real-time market analytics, and interactive simulations, including a Fantasy Stock Trading League and Paper Trading Engine. The AI-powered Adaptive Learning Engine dynamically adjusts educational content and trade recommendations based on user performance, utilizing reinforcement learning and collaborative filtering models. The Market Insights Engine provides predictive analytics, sentiment analysis, and risk assessment using advanced AI models. Users engage in competitive trading simulations, sentiment-based challenges, and community-driven learning forums, fostering practical investment skills. The system offers personalized learning paths, real-time feedback, and post-trade analysis to improve decision-making. Principal uses include stock trading education, financial literacy enhancement, and gamified investment simulations. This system addresses the limitations of static financial education platforms by creating an interactive, adaptive, and engaging learning environment.
Owner:PANI SANJAY
Platform for creating learning content
PCT designated stageWO2025226176A1Data processing applicationsBiological neural network modelsPersonalizationAdaptive learning
The invention is directed toward the creation of a platform for creating personalized and adaptive learning content. The claimed platform includes the following elements: a database capable of obtaining and storing data from external sources of information; a digital asset management system capable of obtaining and storing data from the database and managing the obtained data; a graph-based learning management system capable of managing a graph with the aid of artificial intelligence algorithms by analyzing and transforming the structure of the graph to provide personalized learning content using a learning content repository and the digital asset management system; a learning content repository capable of analyzing information obtained from the digital asset management system and adding identified information to at least one graph of the graph-based learning management system; an adaptive learning module capable of interacting with the graph-based learning management system and the learning content repository to create adaptive learning programmes using artificial intelligence algorithms; and an assessment module capable of interacting with the graph-based learning management system to create test assignments based on the created learning content and further capable of using artificial intelligence algorithms to adjust the level of difficulty of test assignments depending on successfully completed test assignments.
Owner:LLC INTELLEKT UNIVERSITET
Intelligent management system based on data analysis
InactiveCN120833050AData processing applicationsDigital data information retrievalSubject analysisPath generation
The invention discloses an intelligent management system based on data analysis, and belongs to the field of learning management systems, and the system comprises a weak subject analysis module which is used for extracting each subject score of a target student from a historical examination score database; the assistance matching module is in communication connection with the weak subject analysis module and is used for establishing a voluntary application one-to-one assistance relationship for the students with the weak subjects; the wrong question path generation module is used for analyzing the examination wrong questions of the target student in recent three months, counting knowledge point weights and constructing a dynamic learning path; the risk early warning module is used for detecting students whose scores decline in a cliff mode and starting three-level risk early warning through behavior and state analysis of campus monitoring; and the notification execution engine is used for triggering teacher appointment conversation, parent communication, seat adjustment and learning resource pushing operation according to the analysis result. According to the invention, quantitative evaluation can be carried out on dynamic change of subject strength, and then intervention necessity is automatically judged.
Owner:SICHUAN WATER CONSERVANCY VOCATIONAL & TECH COLLEGE
Learning management system
Systems and methods that support the creation and timely electronic scheduling and delivery of course materials for training of individuals in an organization, in which course recommendations, scheduling, and rollout are based upon a number of factors including, for example, specific individual and / or business day-to-day operational performance measures, sales performance, and seasonal weather conditions by geographical region.
Owner:TRANSFORM SR BRANDS LLC
Learning management method and system based on MAAS service
The learning management method based on the MAAS service provided by the invention comprises the following steps: acquiring an STEAM teaching model of an MAAS platform; receiving a homework publishing rule from the teacher client; using the STEAM teaching model to generate a job task according to the job publishing rule; issuing a homework task to the student client; receiving a homework completion condition submitted by the student client for the homework task; and determining the learning condition of the student according to the homework completion condition. According to the method, learning management on teaching is realized based on the MAAS service, a developer does not need to have a relatively high technical level and underlying facilities, a homework task can be automatically generated, students can be supervised to complete the homework task, the workload of teachers is reduced, and learning conditions of the students are timely mastered.
Owner:武汉市金伯乐科技有限公司
Federated learning management device, federated learning management method, and program
The present invention measures a partial processing time, which is the processing time when processing including a part of machine learning in federated learning was executed using a calculation resource for testing, and determines a calculation resource for machine learning on the basis of the partial processing time.
Owner:NT T INC
Quantum computing and blockchain enabled learning management system
A method includes receiving a learning requirement for a user. A preliminary learning recommendation is generated based on the learning requirement of the user and learning histories of a plurality of users. The preliminary learning recommendation is filtered to generate a filtered learning recommendation. A problem of finding an improved learning recommendation from the filtered learning recommendation is mapped to a quantum Ising model. A quantum annealing process is performed one or more times to determine one or more final quantum states from an initial quantum state. One or more energies of the quantum Ising model are determined for the one or more final quantum states. A minimum energy is determined among the determined energies. A target quantum state that corresponds to the minimum energy is determined among the determined final quantum states. The improved learning recommendation is determined from the target quantum state and is sent to the user.
Owner:BANK OF AMERICA CORP
Deep learning management system and method for predicting production energy consumption of plastic film
The invention discloses a deep learning management system and method for plastic film production energy consumption prediction, and the system comprises a data collection module which is used for collecting multi-dimensional data in a plastic film production process in real time, and the multi-dimensional data comprises production process parameters, equipment operation state data, real-time energy consumption data and a power grid demand response signal; and the prediction module constructs an energy consumption-capacity collaborative prediction model based on a neural network, and the model takes the multi-dimensional data as input and outputs a unit capacity energy consumption prediction value, a total energy consumption prediction value and a capacity standard-reaching rate prediction value in a future preset time period. According to the method, the energy consumption cost is reduced, and the total energy consumption cost is remarkably reduced through peak-valley electricity price adaptation and high-energy-consumption link period migration in combination with a multi-target optimization model; the demand responsivity of the power grid is more than 80%, sudden load early warning can be quickly responded, and the regulation and control requirements of different levels of power grids are met.
Owner:XIAMEN OCEAN VOCATIONAL & TECH COLLEGE
System
An object of the system according to the embodiment is to realize equal corporate planning by learning the work and experience value of the manager.SOLUTION: A system according to an embodiment includes a manager work learning unit, an objective setting unit, a task management unit, an evaluation unit, a feedback unit, a compliance monitoring unit, an indication unit, and a consultation handling unit. A manager work learning part learns the work and experience value of a manager. The target setting unit sets a target. The task management unit performs task management. The evaluation unit performs business evaluation. The feedback unit provides feedback. The compliance monitor monitors compliance compliance. The pointing out unit points out to a subordinate. The consultation handling unit acts for the consultation with the superior.SELECTED DRAWING: Figure 1
Owner:SOFTBANK GROUP CORP
Method and system for course assessment in a learning management system
A method and system for course assessment. The method including: receiving assessments from a plurality of assessors for at least one learner; reviewing the assessments for any issues by, for example, an AI agent; if issues are found, returning the assessments for additional review by, for example, an AI agent, if not, continuing; aggregating the assessments by, for example, an AI agent; reviewing the aggregated assessment for any aggregated issues by, for example, an AI agent; if aggregated issues are found, returning the aggregated assessments for additional review by, for example, an AI agent, if not, continuing; and providing the aggregated assessment to the learner. The system makes use of processor and memory to execute instructions to implement the method.
Owner:DESIRE2LEARN
Methods and systems for provisioning virtual lab with learning management system
Current approaches create web based simulated lab type of setups for students / learners in which lab environment is created according to course of student. However, these conventional approaches require student systems to have some basic setup for working on virtual labs. Few available techniques also provide cloud-based virtual labs in which private cloud is created but they use open-source tool for creation. Further, available virtual lab techniques do not provide seamless integration with LMS. Present disclosure provides methods and systems for provisioning virtual lab with learning management system. The system provides virtual desktop that is created on an infrastructure-as-a-service platform. The learner desktop is accessed by a user / learner from respective existing computer system via LMS account. The virtual desktop includes hardware configuration and software packages required to solve one or more problems or perform one or more experiments related to course for which learners have enrolled in LMS.
Owner:TATA CONSULTANCY SERVICES LTD
Dynamic integration of entertainment media into a multi-format engagement-responsive educational platform
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.
Owner:LEGENDS DO LIVE
Development system and learning management system
To provide a development system capable of constructing an MLOps system by combining predetermined platforms, and achieving an efficient MLOps system leveraging the characteristics of each platform.SOLUTION: A development system 100 comprises a first pipeline 120 which processes training data for training in an external learning system 400 and trains a machine learning model 401 in the external learning system 400 using the processed training data, and a second pipeline 130 which deploys the machine learning model 401 trained with the training data to an operation system 200.SELECTED DRAWING: Figure 1
Owner:KONICA MINOLTA INC
Personalized smart learning management and cognitive influence data pushing method and system
PendingCN120067412AData processing applicationsDigital data information retrievalPersonalizationPersonalized learning
The invention provides a personalized smart learning management and cognitive influence data pushing method and system, and the method comprises the steps: receiving business data, sent by a business application end, of a target user for integrated business management, and carrying out the standardization processing and storage, the business application end carries out user portraying according to the standardized business data to obtain learning condition analysis result data, whether learning condition early warning information is output or not is judged, and a personalized learning resource matching request is generated according to the learning condition analysis result data; and searching personalized learning resource data of the personalized learning resource matching request in a local resource knowledge base, so that the business application end pushes the personalized learning resource data as cognitive influence data to the target user. According to the application, the integration of business functions and resources related to smart learning can be effectively realized, the comprehensiveness of learning management functions and the data calling efficiency can be effectively improved, the individuation and pertinence of learning resource pushing can be effectively improved, and the user experience can be effectively improved.
Owner:CHINA ELECTRONICS CYBERSPACE RESEARCH INSTITUTE CO LTD
Artificial intelligence-based platform to optimize skill training and performance
Owner:UNIVERSITY OF TOLEDO
Learning situation report generation method and system based on AI language model
The invention belongs to the technical field of learning condition management, and particularly relates to a learning condition report generation method and system based on an AI language model, and the system specifically comprises a multi-modal learning condition data aggregation module, a learning condition data noise reduction and regularization module, a knowledge point mastery degree decision module, a knowledge point enhancement necessity analysis module, a learning condition report AI generation and output module and a teacher decision end. Individual skilled and weak knowledge points of students are accurately distinguished through a knowledge point mastery degree decision-making module, a knowledge point reinforcement necessity analysis module provides a basis for a teacher to accurately position knowledge points needing key reinforcement and reasonably distribute teaching resources, and a learning enthusiasm quantification output module accurately quantifies learning attitudes of the students. The course teaching management evaluation module comprehensively evaluates the course teaching management condition, and the learning condition report AI generation and output module generates a two-dimensional learning condition report of the whole class and the individual students, thereby providing powerful technical support for personalized teaching and precise teaching management.
Owner:SICHUAN LETU ZHIXING TECH CO LTD
Satellite laser communication in-orbit deep learning management system and method
The invention discloses a satellite laser communication in-orbit deep learning management system and method, and the system comprises a satellite platform, a terminal in-orbit model learning health management module, a satellite-ground data transmission assembly, and a ground data evaluation and laser communication terminal. The terminal on-orbit model learning health management module outputs the health condition of the laser communication terminal based on data parameters inquired and collected by the laser communication terminal in combination with the trained intelligent model; judging whether to work normally based on the health condition; if yes, triggering the laser communication terminal to start initial capturing, dynamic tracking and communication processes of laser communication; if not, early warning information is generated, and the early warning information is transmitted to the ground data evaluation device through a satellite-ground data transmission assembly; the method has the advantages that the ability of autonomous and healthy operation of the laser communication terminal in a huge network constellation can be achieved, and the ability of deep learning and dynamic prediction of multi-dimensional data of a satellite platform, an operation environment, the laser terminal and a communication link is achieved.
Owner:阎岩
Trusted execution environment remote authentication method and system suitable for federated learning scene
PendingCN121940138AKey distribution for secure communicationEncryption apparatus with shift registers/memoriesEngineeringLearning Management
The invention discloses a trusted execution environment remote authentication method and system suitable for a federated learning scene, and relates to the technical field of federated learning and trusted execution environments. The method comprises the following steps: carrying out equipment registration according to a registration request of trusted execution environment equipment; performing remote authentication operation on the federated learning administrator based on the registered trusted execution environment, specifically comprising the following steps: performing identity authentication and trusted execution environment authentication on the federated learning administrator, performing a remote certification process and a key negotiation process at the same time, and deploying a federated training model and an aggregation model; and remote authentication is carried out on other participants participating in the federated learning task based on the federated training model and the aggregation model, and the method specifically comprises the following steps that trusted execution environment registration and information uploading operation are carried out on the participants, and the participants execute the federated learning task according to the deployed federated training model and the aggregation model. According to the invention, an efficient remote authentication process can be realized in a federated learning multi-participant scene.
Owner:SHANDONG ZHENGZHONG COMP NETWORK TECH CONSULTING
Learning management system for predicting concentration on basis of data generated from metaverse teaching environment
PCT designated stageWO2026054177A1Biometric pattern recognitionMarketingSequence modelSequential data
Disclosed in the present invention is a learning management system for predicting concentration on the basis of data generated from a metaverse teaching environment. The present invention may provide a learning management system based on data generated from a metaverse teaching environment, which includes a sequence model for predicting a learner's concentration from sequential data regarding the learner's viewing posture. The learning management system is capable of maintaining the learner's concentration by switching, replacing, or reproducing video content for which a relatively low concentration is predicted with video content that is capable of arousing the learner's interest. For example, by transmitting image information or numerical information related to the learner's viewing posture to a terminal of a controller, appropriate learning guidance, such as switching video content for which a relatively low concentration is predicted, may be provided, thereby maintaining the learner's concentration and improving learning achievement.
Owner:RABBIT HOLE CO LTD
System and Method for Training Medical Providers in Obesity and Cardiometabolic Health Management Using Artificial Intelligence and Competency-Based Assessments
A system for training medical providers in obesity management and obesity-related comorbidities includes a user device presenting a conversational interface to a medical provider, an application server managing user sessions, a database server storing user data including course completion records and clinical performance audits, and a learning management system server delivering educational modules based on established competencies. An artificial intelligence server processes queries from the medical provider and provides personalized medical advice using a large language model trained on obesity-related medical content including obesity physiology, pharmacotherapy, and patient management. The artificial intelligence server receives outcome information related to patient health metrics following the personalized medical advice and retrains the large language model based on the outcome information. A performance audit system monitors clinical documentation, prescribing patterns, and patient outcomes of the medical provider to ensure ongoing compliance and performance improvements.
Owner:INTELLIHEALTH INC