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110 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
AI-based intelligent system for blended learning and education
A system for implementing blended learning, including: • a central processing unit (CPU) configured to receive, process and store data from a range of user interfaces, learning management software modules, classroom interaction devices and cloud-based data storage; • an AI engine integrated into the CPU, configured to analyze students' interactions with educational content, classroom activities, and performance data in real time, with the AI engine applying machine learning techniques to create personalized learning paths for each student based on their individual learning style, past performance, and engagement patterns; • A range of devices for classroom interaction, including at least one smartboard, tablet, or interactive projector, each configured to capture real-time data on classroom activities such as student participation, oral responses, and collaborative tasks. The captured data is then transferred to the CPU for analysis by the AI engine to refine and dynamically adapt learning paths for each student; • a student user interface, wherein the student interface displays dynamically generated content tailored to the student's progress and performance, and wherein the content includes multimedia materials such as videos, tests and reading material adapted based on the student's interaction history and learning needs; • a CPU-connected teacher interface, wherein the teacher interface displays real-time analytics and insights from student data, including performance trends, engagement levels, and potential learning gaps, and wherein the AI engine provides the teacher with actionable recommendations for adapting teaching strategies, resources, and interventions based on the individual needs of the students and their performance in class; • a cloud-based storage system, whereby the system securely stores student profiles, historical performance data and learning content, and whereby the CPU retrieves, updates and stores data from the cloud-based system in real time to ensure continuous adaptation of the learning experience.
Owner:ZAHER HASSAN
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
Social interaction training apparatus and method
One aspect of the present disclosure provides systems and methods for determining student progress across a multivariate set of learning goals and personalizing teaching content across a multivariate set of learning goals using a learning management system, including providing first teaching content to a client-side electronic device, in which the client-side electronic device is associated with a user account, receiving one or more user inputs via the client-side electronic device, processing the one or more user inputs through a machine learning model, the machine learning model trained to determine performance data for a plurality of skills categories based on the one or more user inputs, and determining, for the user account, performance data for the plurality of skills categories based on the one or more user inputs.
Owner:SOCIAL OPTICS INC
Online education method and online education platform
The invention relates to the technical field of computers, particularly discloses an online education method and an online education platform, and realizes accurate screening of online learning states of students and accurate evaluation of teaching quality. The online education method comprises the steps that a user side logs in and screens to obtain student identity information, and a learning management system LMS of an input end automatically screens to obtain a real-time learning speed parameter and a real-time class completion degree parameter of a student according to a screening strategy; acquiring a class hour matching state in the target time period according to the real-time learning speed parameter and the real-time class hour completion degree parameter of the current subject of the student, and determining a concentration degree coefficient of the current subject of the student; according to the concentration coefficient of the current subject of the student, judging the class hour matching state of the subject in the target time period, and judging to carry out teaching quality evaluation and adjust a screening strategy; and a real-time learning speed parameter set and a real-time class hour completion parameter set of the student are acquired and input into the evaluation model for teaching evaluation analysis.
Owner:HANGZHOU YASHI DIGITAL TECHNOLOGY 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
Learning effect evaluation system and method for artificial intelligence image generation training course
ActiveCN119579366Aresolve inconsistenciesReduce workloadData processing applicationsEnsemble learningData acquisitionEngineering
The invention discloses a learning effect evaluation system and method for artificial intelligence image generation training courses, and relates to the technical field of computers. In order to solve the technical problem that in the prior art, a learning management system cannot feed back learning conditions of students in time, the technical scheme provided by the invention is that the system comprises a plurality of modules used for collecting and analyzing data in the learning process of the students, and comprises a student single course homework quality evaluation module, the quality evaluation module is used for performing quality evaluation on a single homework of a student in an artificial intelligence image generation course to obtain a quality score; the overall learning ability evaluation module is used for carrying out comprehensive learning state analysis on the quality scores and the homework process logs of the multiple homeworks of the students to obtain overall learning ability scores of the students; and the visual feedback module is used for generating learning diaries of the students according to the change of the homework quality and the learning ability of the students. The method is suitable for being applied to learning effect evaluation work of artificial intelligence image generation courses.
Owner:HARBIN INST OF TECH
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
Large model-based one-stop primary school artificial intelligence teaching system
The invention relates to the technical field of artificial intelligence teaching, in particular to a one-stop primary school artificial intelligence teaching system based on a large model, and the system comprises a user management module which is used for managing the identity verification, account registration and login operation of a system user, and tracking the learning record and course progress of the user at the same time; the database management module is used for storing and managing various data generated in the system so as to support learning records and account information of the user and other data operations of the system; the course content management module is used for providing a systematic course learning management function for the user; and the large model management module is used for providing A I technical support for the user in the course content management module so as to simulate and solve problems in reality. The artificial intelligence teaching platform which is suitable for the primary school stage, easy to operate and high in interactivity can be constructed, the defect that education resources are insufficient is overcome, and the learning effect of students is improved.
Owner:SUZHOU UNIV
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
Graphical user interface for a learning management system for electronic devices
1. Name of the design product: Graphical user interface for a learning management system for an electronic device. 2. Purpose of this design product: This design product is used in electronic equipment. 3. The key design point of this appearance design product lies in the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: main view. 5. The hardware device is of conventional design and the six views of the hardware device are omitted. 6. Purpose of graphical user interface: used for management of learning knowledge points. 7. Description of the changing states of the graphical user interface: The main view is the interface after entering the system, which includes a "knowledge main axis" and multiple "knowledge point branches"; by dragging the "knowledge main axis" with the mouse or touching, the "knowledge main axis" can be moved, specifically the interface change state diagram 1, interface change state diagram 2, and interface change state diagram 3 change in sequence; by rotating around the "knowledge main axis" with the mouse or touching, the "knowledge main axis" can be rotated, specifically the interface change state diagram 4, interface change state diagram 5, interface change state diagram 6, interface change state diagram 7, interface change state diagram 8, interface change state diagram 9, and interface change state diagram 10.
Owner:HUAZHONG NORMAL UNIV
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
Method and system for course assessment in a learning management system
A method and system for course assessment. The method includes: monitoring for a request to select assessors for a course by an instructor; upon receipt of a request, preparing a list of potential assessors and determining if additional potential assessors are required, if so: automatically posting a request for potential assessors; and receiving information about potential assessors; and updating the list of potential assessors; if not: proceeding; selecting assessors for the course from the list of potential assessors; assigning the select assessors to a set of students in the course, and monitoring the assigned assessors during and after the course. In some cases, the list of potential assessors is displayed to allow the instructor to select or assist with selection of the assessors. The system includes a processor and various modules configured to perform 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
Auxiliary teaching system based on virtual technology
The invention relates to the technical field of virtual teaching assistance, in particular to an auxiliary teaching system based on a virtual technology, which comprises an information management module, a virtual teaching module, a learning management module and an effect feedback module, the information management module is used for managing identity information of a user and distributing use permission according to the identity information; the virtual teaching module is used for constructing a virtual classroom according to the teaching content and the virtual image of the teacher; the learning management module is used for recording the learning process and the learning result of the student in the virtual classroom; and the effect feedback module is used for evaluating the teaching effect of the virtual classroom according to the learning process and the learning result of the student, and feeding back the teaching effect to the virtual teaching module to optimize the virtual classroom. The teaching and learning platform which is comprehensive in function, simple and convenient to operate, comprehensive, efficient and convenient can be provided, and the intelligent level and the user experience of the auxiliary teaching system are improved.
Owner:ZHEJIANG INT MARITIME COLLEGE
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