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45 results about "Learning Management" patented technology

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 based on knowledge graph

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

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

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

PCT designated stageWO2026028393A1Biological modelsEngineeringData mining
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

PendingJP2026025324AOffice automationLearning unitCompliance Monitoring
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

Dynamic integration of entertainment media into a multi-format engagement-responsive educational platform

PendingUS20260188131A1PersonalizationAdaptive learning
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

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

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

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

System and method for providing learning curation service using learning map-linked open badge

PendingUS20260254809A1Learning machineHome page
Provided is a system and a method for providing a learning curation service using a learning map-linked open badge that reduce a user's trouble of generally visiting an educational institution or the educational institution's homepage to obtain a certificate, an educational qualification, or the like and submitting it directly to consumers (submitting institutions), by issuing and providing a blockchain-based open badge linked to the user's academic achievement such that the user (learner) is capable of proving his / her qualifications acquired through education, learning, examination, or the like provided by the educational institution (learning institution), thereby reducing the time required for issuance and submission as well as incidental costs while security is guaranteed.
Owner:SWEMPIRE CO LTD

A knowledge learning management method and device based on data analysis

A knowledge learning management method and device based on data analysis, wherein the method comprises: acquiring a scenario-based behavior data set, the scenario-based behavior data set comprising behavior data of each drugstore employee in different business scenarios, the business scenarios comprising at least a drug recommendation scenario, a drug contraindication reminder scenario, and a special drug consultation scenario; constructing a behavior model according to the scenario-based behavior data set, and extracting behavior characteristic information of the drugstore employee in different business scenarios through the behavior model; determining a knowledge point set and a knowledge blind spot that the drugstore employee needs to master in each business scenario based on the behavior characteristic information; constructing a knowledge graph according to the scenario-based behavior data set, the knowledge blind spot, the knowledge point set, and the association relationship between the knowledge point set and the business scenario; and determining professional learning content of the drugstore employee and a priority corresponding to the professional learning content based on the knowledge graph. The application can comprehensively improve the professional knowledge level of the drugstore employee.
Owner:北京健易保科技有限公司

PROCESSING DATA REQUESTS SUBMITTED TO A CORPUS DATABASE

A method for a corpus database comprising an original set of texts is disclosed. The original set and a received update can be preprocessed to obtain update text blocks of the update and the nearest original text blocks of the original set. A set of one or more dimensions representing the update can be determined. A metric set can be determined for each dimension. For each dimension and for each metric associated with the dimension, a set of one or more analysis tasks can be selected, the results of which can be used to evaluate the metric, and at least one prompt can be generated from the update and the nearest original text blocks. The prompt can be input into a learning management system (LM) to obtain results. The results can be used to evaluate the metric sets.The evaluated metric sets can be used to update or not update the corpus database.
Owner:BUNDESDRUCKEREI GMBH

Learning management system, information processing method and program for a learning management system

We can freely build systems that operate with proprietary software that generates practical, work-level deliverables by reverse engineering using unique data processing structures and inference algorithms. [Solution] The learning management system 10 includes an inference unit 1A-8 that has a knowledge database for storing structured data, analyzes input information obtained from learners based on the structured data, infers missing variables in light of dependencies, calculates the priority of missing parameters to be obtained, and dynamically branches and generates question items to be presented to learners based on that priority, and an output generation unit 1A-9 that combines the learner's individual information obtained by the inference unit 1A-8 with the structured data, works backward to determine the components of the output based on dependencies, and automatically generates a practical-level output tailored to the learner.
Owner:UNIMNI CO LTD

Workforce Innovation Online Career Exploration and Development Platform for Students and Young Adults

The present invention relates to a cloud-based workforce development and readiness platform supporting career exploration, workforce development, skills enhancement, and personal growth for students and young adults using a gamified learning approach. The platform comprises a dual SaaS / WaaS™ architecture, including a Software-as-a-Service (SaaS) module for learners and a Workforce-as-a-Service (WaaS™) module for employers, educators, and partners, enabling bidirectional data flows across the ecosystem. The platform further includes a modular AI-powered assistant (GT3S), implemented as a knowledge-based large language model trained on accredited and proprietary workforce data sources, configured to provide personalized guidance, mentor-matching signals, curriculum alignment, and predictive workforce analytics. Users engage with structured programs based on four developmental pillars, earning points and incentives tied to workforce readiness outcomes, including certifications, internships, and employer-aligned skills benchmarks. The system also provides multi-stakeholder dashboards for learners, mentors, educators, and employers, integrating customer relationship management, learning management, e-commerce, donation management, and recruitment functions on a secure cloud infrastructure to create a comprehensive ecosystem for workforce pipeline development.
Owner:STRATEGYSERV LLC

Student homework AI tutoring method based on parent guidance and authority control

The invention discloses a student homework AI tutoring method based on parent guidance and authority control. According to the method, a homework explanation and learning management mechanism with parents as a main control body is constructed based on the natural language understanding and expression ability of a large generative model, and the homework explanation and learning management mechanism comprises terminal binding and parent identity authentication, homework content analysis, explanation strategy scheduling, tutoring / supervision dual-mode permission control and a learning expression precipitation mechanism. Students carry out AI explanation type learning under the authorization of parents, and the system generates multiple rounds of explanations with controllable styles according to the content of questions; and for behaviors such as direct answer asking and the like, permission control and real-time intervention are realized through confirmation of parents. All learning behaviors are recorded by taking parent identities as main control paths, so that the privacy security of juveniles is guaranteed. The system supports multi-terminal cooperative operation, and allows parents to share high-quality explanation content to form a sustainable and optimized cooperative tutoring system.
Owner:GUANGDONG OPERATOR WIRE INTELLIGENT TECHNOLOGY CO LTD

Learning manager management providing method and platform based on consciousness integration map based on cognitive science theory

ActiveJP2025174796AData processing applicationsKnowledge managementLearning Management
To provide a learning manager management providing method and a platform based on a consciousness integration map based on cognitive science theory.SOLUTION: A learning manager management providing method performed by a management server based on a server-client system online includes: an integrated map confirmation step of performing reverse engineering of a psychological characteristic factor according to a student type and confirming an integrated map of a multi-layer platform formed based on cognitive science theory; a guide formulation step of reconfiguring a psychological characteristic test based on the integrated map and providing the reconfigured psychological characteristic test to a manager terminal of a learning manager, and analyzing the psychological characteristic test when a result of the psychological characteristic test for a subject is received from the manager terminal to visually intuitively form a management guide according to connectivity of psychological characteristic factors; and a learning management providing step of providing the formulated management guide to the manager terminal of the learning manager.SELECTED DRAWING: Figure 1
Owner:NEXCUBE ,

Learning management information processing system, control method for information processing device, and program

The present invention addresses the problem of providing a learning management information processing system, a control method for an information processing device, and a program that make it possible to achieve continuous learning by presenting an action map corresponding to a user's learning progress. A learning management information processing system 100 comprises: an action map acquisition unit 32 that acquires an action map in which a plurality of tasks for achieving a learning target of a user are hierarchically set; a learning progress analysis unit 33 that monitors a learning progress of the user and analyzes a learning progress status including whether or not a learning interruption has been performed; an action map adjustment unit 34 that adjusts tasks of the action map set for the user on the basis of the analysis result of the learning progress and presents the adjusted tasks to the user; and a sharing processing unit 35 that shares information relating to the action map with participants belonging to a community in which the user participates. The problem is thus solved.
Owner:ADDNESS INC

System and method for teaching curriculum as an educational game

An educational game (and learning management system and methods pertaining to the same) can be configured for the effective teaching of advanced educational curriculum, such as STEM subjects for high school and above. The educational game is configured to integrate social context, real scientific principles and strategic tradeoffs within game mechanisms. This covert teaching and testing environment promotes exploration, individualized discovery, repeat engagement, and systems thinking and planning skills. The educational game can be dynamically and procedurally generated.
Owner:PLASMA GAMES LLC

Portable stand-alone learning server with local large language model feedback tutoring, integrated wireless access infrastructure, and automatic phone-home synchronization

ActivePH22026050526U1Linguistic modelEngineering
The present utility model relates to a portable stand-alone learning server with local large language model inference, integrated wireless routing infrastructure, and automatic phone-home synchronization for offline educational deployment. The portable server comprises a portable casing, a micro-computer server module, a local storage module, a learning management system, a web server, a local database server, a learning-material repository, a standalone large language model processing block, a local LLM runtime and local API module, an integrated wireless routing and access-point block, an automatic phone-home synchronization module, a local pending synchronization queue, a report generation and upload module, an update package retrieval and application module, and an update-status and auditupload module. Learner devices connect directly to the portable server through the wireless network without requiring an external router, separate access point, cloud AI platform, or internet connection. Educational content delivery, quiz operation, learner-data storage, and local AI-assisted feedback generation occur within the portable server. When no internet connection is available, generated reports, audit records, update-status records, and synchronization data are preserved in the local pending synchronization queue. When an internet connection becomes available, the automatic phone-home synchronization module initiates an outbound connection to a main server, uploads pending reports and status records, retrieves update packages and documents, and causes the update package retrieval and application module to apply updates locally to the learning management system. The arrangement permits offline learning operation with no public IP requirement while enabling later automatic report upload and synchronization with main-server updates without losing locally generated data, and without requiring inbound remote access or continuous internet connectivity.
Owner:DE VELEZ LEO RAFER

Generating coherent extractive summaries by training llms on feedback annotations from initially generated summaries

The present disclosure relates to systems, non-transitory computer-readable media, and methods for training a large language model to generate coherent extractive summaries. In some embodiments, the disclosed systems generate an initial extractive summary of a digital document utilizing a large language model. In some embodiments, the disclosed systems generate a feedback set including a set of annotations indicating corrections to the initial extractive summary relative to one or more coherent summaries of the digital document and a set of quality scores for the initial extractive summary. In some embodiments, the disclosed systems adjust parameters of the large language model to reduce differences between the initial extractive summary and the one or more coherent summaries based on the feedback set.
Owner:ADOBE INC

An interaction method for jointly learning multi-end interactive interaction form data dashboard

The application discloses an interactive method for joint learning of multi-terminal interactive interactive form data board, belonging to the technical field of joint learning, comprising the following steps: S101: establishing a channel; S102: component system; S103: scene construction; S104: system evaluation; S105: learning summary. The interactive method for joint learning of multi-terminal interactive interactive form data board provided by the application displays the joint learning process from multiple perspectives, interacts from the perspectives of multiple users, and interacts between the user perspective and the central perspective, is transmitted through the Internet of Things, reduces the remote transmission data volume, thereby improving the operation fluency of interface interaction and the real-time performance of transmission, and users can compare the results to know better how to learn, improve learning efficiency, and mutually screen through the interactive learning management system, so that multiple people can interactively learn, increase interactivity, and analyze and summarize for different users.
Owner:新奥新智科技有限公司