20 results about "E learning" patented technology

Methods and systems for improving resource content mapping for an electronic learning system. The methods can include: receiving, by the electronic learning system, a resource for satisfying at least one learning objective of the one or more learning objectives, the resource comprising a content having a content data convertible into a text data and one or more resource property fields defining at least one characteristic of the resource; sectioning the content data into one or more content portions based on an analysis of at least one of the content data and the one or more resource property fields; and assigning at least one content portion of the one or more content portions to at least one learning objective.

A method and system for providing navigation of multiple organizations of one or more electronic learning systems. The method involves operating a processor to obtain a global user identifier, obtain a navigation object to be displayed at the user computing device, and automatically generate an organization alert indicator for an organization object when the user has an outstanding alert from the electronic learning system of the organization. The navigation object includes a plurality of organization objects. Each of the organization objects correspond to an organization identifier of the plurality of organization identifiers for navigating to an electronic learning system of the organization.

The utility model relates to the technical field of school supplies, and discloses a foldable electronic learning whiteboard which comprises an upper board, a functional shaft sleeve can be fixedly installed at the bottom of the upper board, a rotating sleeve is rotatably connected to the inner side of the functional shaft sleeve, and a lower board is fixedly connected to the bottom of the rotating sleeve. A first sliding sleeve is fixedly installed on the outer side of the upper plate, a locking sleeve is fixedly installed on the outer side of the lower plate, a bending locking plate which passes through the interior of the functional shaft sleeve and extends into the locking sleeve is fixedly installed on the outer side of the first sliding sleeve, and a locking component which extends into the bending locking plate is fixedly installed in the functional shaft sleeve. A teaching rod which is in contact with the locking component and extends to the outside of the functional shaft sleeve is inserted into the functional shaft sleeve, and a spring clamp which extends to the inside of the teaching rod is fixedly installed on the outside of the functional shaft sleeve. The foldable electronic learning whiteboard has the advantage that requirements such as separated discussion and the like can be conveniently met for small-range learning.

The embodiment of the utility model provides a learning machine circuit and a word learning machine, and relates to the technical field of electronic learning equipment. The learning machine circuit comprises a power supply control module, a display driving module, an ink screen and a signal detection module, the power supply control module is electrically connected with the signal detection module and the display driving module; the display driving module is electrically connected with the ink screen; the display driving module is used for controlling the refresh frequency of the ink screen; wherein the signal detection module is used for acquiring an external signal; and the display driving module is also used for responding to an external signal and controlling the ink screen to perform full-screen refreshing according to the voltage output by the power supply control module. The display quality of the learning machine can be improved.

A method includes receiving, by an electronic communications system, an electronic assessment of a user, wherein the electronic communications system includes memory and a processor. The method includes receiving, by the electronic communications system, historical electronic information. The method includes analyzing by the electronic communications system the electronic assessment based on the historical information. The method includes determining, by the electronic system, a learning disability of the user.

1. The name of the product under this design: Learning Machine. 2. Purpose of this design product: to be used as an electronic learning machine. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

To eliminate interference between a projection image and a board writing item, and make the board writing item more readily visible.SOLUTION: An information presentation system 1 presents a projection image, which is formed with emitted light of an electronic educational material image e, to a blackboard 6, extracts an area of a board writing item w as a board writing area from shot video C containing the projection image and the board writing item w written on the blackboard 6, and intercepts part of the emitted light of the electronic educational material image e associated with board writing coordinates information R'(x, y). The information presentation system 1 includes a projector 3 that projects the emitted light of the electronic educational material image e on the blackboard 6, a light interception device 4 that intercepts part of the emitted light of the electronic educational material image e on the basis of the board writing coordinates information R'(x, y), a camera 5 that images the shot video C containing the projection image and board writing item w, and an area extraction device 2 that extracts the projection image c, which is video of an area of a projection image, from the shot video C, compares the projection image c with the electronic educational material image e so as to extract an area having a difference as a board writing area R', and outputs the board writing coordinates information R'(x, y) to the light interception device 4.SELECTED DRAWING: Figure 1

A computer-implemented method for modifying one or more contents of an electronic learning system for a user impaired by a colour vision deficiency. The method includes: generating a vision profile for the user, the vision profile indicating at least a type of the colour vision deficiency, identifying, from the one or more contents, a content to be modified, the content including at least two portions formed of a first colour and a second colour, respectively, the first colour being different from the second colour but the first colour being at least partially indistinguishable from the second colour by the user due to the colour vision deficiency, identifying a content transformation to be applied to the content based on the vision profile, the content transformation including one or more adjustments of the content to accommodate the colour vision deficiency impairing the user; and applying the content transformation to the content.

The invention relates to a polysemy content display method and device for electronic learning equipment and electronic equipment, and the method comprises the steps: building and storing a mapping relation between at least two word meaning items of a target word and corresponding example sentences, and enabling each word meaning item to be uniquely associated with at least one corresponding example sentence; a selectable list containing at least two word meaning items is displayed in a first area of a display interface of the electronic paper display screen, and the list is provided with a currently activated visual focus indication; displaying example sentences corresponding to the word meaning items identified by the visual focus indication at present in a second area of the display interface of the electronic paper display screen; in response to a received selection instruction for a target word meaning item in the selectable list, switching the visual focus indication to the target word meaning item; in response to the switching indicated by the visual focus, the content displayed by the second area is synchronously and uniquely updated. According to the method, the cognitive burden of the user among different display contents is eliminated, and the concentration degree, the understanding accuracy and the operation efficiency of word learning are improved.

Systems and methods for curation of content, such as e-learning content or online instructional materials, according to particular criteria such as the amount of pictorial representations contained therein, the amount of verbal expression contained therein, and whether the content contains a summary. Other criteria may also be employed. Users may select any one or more of these and other criteria. Content is then sorted according to the selected criteria and presented as an ordered list of content that users can select for viewing.

A system for training a student to operate an actual machine includes an electronic learning module and a simulation system for simulating operation of the actual machine. An adaptive learning artificial intelligence (ALAI) module receives student performance data to adapt training of the student. The student performance data includes instructor-graded performance results of the student based on the student operating the actual machine, simulation performance results for the student operating a simulated machine in a simulation system that simulates operation of an actual machine and electronic learning content results from an electronic learning module that delivers electronic learning content to a student computing device used by the student. The ALAI module comprises a learner profile module that profiles the student, a training task recommendation module that generates AI-generated recommendations, and an explainability and pedagogical intervention module for displaying on the instructor computing device explanations for the AI-generated recommendations.

Systems and methods for generating and presenting e-learning content are provided. The method includes receiving user input defining a plurality of lessons parameters, generating a core lesson outline comprising a plurality of lesson sub-topics selected based on the lesson parameters, generating sub-topic lesson data for each lesson sub-topic, generating a structured data file comprising a dynamic lesson graph and the sub-topic lesson data associated with nodes of the corresponding lesson sub-topics in the dynamic lesson graph and processing the structured data file to present the sub-topic lesson data via at least one presentation layer, the presentation layer being configured to provide a user interface allowing a user to navigate through the dynamic lesson graph and to render at least some of the sub-topic lesson data upon the user navigating to corresponding nodes of the dynamic lesson graph.

1. The name of this design product: AI learning tablet computer. 2. Purpose of this design product: an electronic learning tablet computer used for interactive teaching, reading of electronic documents and teaching materials, and mobile independent learning. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 2.

According to some embodiments, a system for providing guided instructional design. The system includes at least one processing device and at least one data storage device in communication with the at least one processing device. The at least one data storage device is configured to store information about at least one course. For each course, the at least one processing device is configured to present at least one predetermined course component to a first user, and for the at least one course component: present at least one course parameter, receive at least one first input from the first user in relation to the at least one course parameter, based on the at least one first input and at least one educational design element, present at least one modified course parameter to the first user; and receive at least one second input from the first user in relation to the at least one modified course parameter.

Systems and methods for conducting automated skills mastery assessments in an e-learning environment may include assessing learner engagements with learning resources to produce mastery assessments, using historic interaction data derived through the engagements to train machine learning algorithm(s) to forecast evaluation outcomes of engagements based on engagement patterns indicative of skill fading, imparting learning, initial level of mastery, and / or a difficulty of acquiring mastery, applying the learning algorithm(s) to historic user interactions with learning resources to produce predicted evaluation outcomes, and, based on any differences between predicted outcomes and actual outcomes, refining parameter(s) of a mastery assessment parameter set used in calculating the mastery assessments, where a portion of the parameters correspond to attribute(s) of connections between the learning resources and skills of a skill hierarchy. The connections may be represented by logical indicators of relationships defined between the learning resources and the skills.

Systems and methods for creating a training script on a virtual laboratory instance running in an e-learning infrastructure. The method comprises deploying a virtual laboratory instance from a template on e-learning infrastructure. The virtual laboratory instance includes preconfigured training software and an action interception tool. The method further comprises intercepting system events at the action interception tool corresponding to training software operation, pre-processing intercepted events by filtering and grouping events into an action-centric dataset, generating a training script using a machine learning model, based on an action-centric dataset, in a human-readable format, and storing the training script in a structured text-based format file.

The application discloses a kind of based on multiple knowledge subgraph's electronic learning recommendation system design method.Knowledge graph is used as auxiliary information source to carry out electronic learning recommendation system design, and based on multiple knowledge subgraph's electronic learning recommendation system includes learner module, learning goal module and scoring module.The application has the ability to solve the problem that learner faces overload learning goal, which leads to that the recommendation system cannot accurately recommend and new learner cold start etc.;The application uses knowledge graph as information auxiliary source, and adopts attention mechanism to distinguish the contribution degree of different relationship attributes to target entity;By aggregating neighbor entity, the application enriches the semantic representation of target entity, and by the mode of propagation, the potential contact between learning target entity is mined, and the application provides personalized learning target recommendation for learner, thereby improving the learning effect and the beneficial effect of satisfaction of learner.

The present invention relates to Smart E-Learning system using adaptive video lecture delivery based on attentiveness of the viewer. The attentiveness of the viewer is increased, who is watching a video lecture (204) in an E-learning scenario where viewer's attentiveness score (205) is captured based on facial expressions, cognitive responses etc. The video content (209) are changed dynamically to increase the attentiveness of the viewer in real time without viewer's knowledge. To change content segments, next segment predictor (206) has prior knowledge of the main video with its break points and supporting videos (207). It (206) uses viewer's attentiveness (210) and selects the next segment (209) which is played for the viewer, before proceeding with the main content. Incremental Learning with AI / MML techniques are used for next segment prediction. The feedback of attentiveness score after content segment change is used by the Next Segment Predictor (206) for further learning process.