LEARNING MANAGEMENT SYSTEMS AND METHODS THEREFOR

    公开(公告)号:US20240177624A1

    公开(公告)日:2024-05-30

    申请号:US18428171

    申请日:2024-01-31

    IPC分类号: G09B7/08 G09B7/04

    CPC分类号: G09B7/08 G09B7/04

    摘要: Learning management systems and methods are disclosed. A database arrangement of nodes is generated, the nodes representing respective content. The nodes include respective numeric attributes and weights associated with at least one of a difficulty or a theme of the respective content. A dimensional space is generated based on the database arrangement of the nodes. A first node of the nodes is selected based at least in part on a user characteristic of a user. First content associated with the first node is displayed, and a confidence metric is determined associated with the first content based on a user selection from the user of at least one confidence input mechanism. A user input associated with the first content is evaluated, and a second node of the nodes is selected based at least in part on the user input and the determined confidence metric.

    Cheating detection in remote assessment environments

    公开(公告)号:US11138899B2

    公开(公告)日:2021-10-05

    申请号:US17215692

    申请日:2021-03-29

    摘要: A method for delivering educational content to a user and detecting cheating in a remote assessment environment. The method includes receiving user assessment variables corresponding to a user performance on assessment questions presented by the educational content; generating a user profile based on the user assessment variables; recommending a new educational content item based on the user profile; presenting the new educational content item to the user via a display; receiving a user response to the new educational content; detecting anomalies in the user response by comparing the user profile with one or more of active user assessment variables or passive user assessment variables; and generating a notification of cheating based on the detected anomalies.

    EDUCATIONAL AND CONTENT RECOMMENDATION MANAGEMENT SYSTEM

    公开(公告)号:US20210005099A1

    公开(公告)日:2021-01-07

    申请号:US16918213

    申请日:2020-07-01

    IPC分类号: G09B7/08 G06N5/04 G06N20/00

    摘要: An educational system may include a contextualizer that accesses and processes content items and build a knowledge base including educational content and relationships between content items. The system may include a user assessor unit that determines user assessment variables based on user responses to previous educational content items and generate a user model based on the user assessment variables. The system may include a recommender that navigates the knowledge base and generates recommendations of new educational content based on the user model. The recommendation can assess the user's proficiency on a given concept based on the user model and maximize the user's probability of success around the concept of which the user shows proficiency, or improve the user's proficiency around the concept the user shows weakness. In some examples, the system may acquire an expert's knowledge about certain concepts to refine the user model, increasing the accuracy of the recommender.

    Educational and content recommendation management system

    公开(公告)号:US11514809B2

    公开(公告)日:2022-11-29

    申请号:US16918213

    申请日:2020-07-01

    摘要: An educational system may include a contextualizer that accesses and processes content items and build a knowledge base including educational content and relationships between content items. The system may include a user assessor unit that determines user assessment variables based on user responses to previous educational content items and generate a user model based on the user assessment variables. The system may include a recommender that navigates the knowledge base and generates recommendations of new educational content based on the user model. The recommendation can assess the user's proficiency on a given concept based on the user model and maximize the user's probability of success around the concept of which the user shows proficiency, or improve the user's proficiency around the concept the user shows weakness. In some examples, the system may acquire an expert's knowledge about certain concepts to refine the user model, increasing the accuracy of the recommender.

    LEARNING MANAGEMENT SYSTEMS AND METHODS THEREFOR

    公开(公告)号:US20210366303A1

    公开(公告)日:2021-11-25

    申请号:US16957013

    申请日:2019-02-26

    IPC分类号: G09B7/08

    摘要: There is provided a learning management system comprising: a display; and a processing element in electronic communication with the display, the processing element configured to perform the following operations: generate a plurality of nodes, wherein the nodes correspond to an item of content; implement a testing module that selects a first node of the plurality of nodes to display on the display, wherein the first node outputs to the display one or more questions to a user and prompts the user to select an answer; and implement a confidence metric that prompts the user to select a value corresponding with the user's confidence that the selected answer is correct, wherein the selected answer and the confidence metric value for the first node are used to determine a second node from a plurality of nodes to display to the user next.

    CHEATING DETECTION IN REMOTE ASSESSMENT ENVIRONMENTS

    公开(公告)号:US20210217323A1

    公开(公告)日:2021-07-15

    申请号:US17215692

    申请日:2021-03-29

    IPC分类号: G09B7/08 G06N20/00 G06N5/04

    摘要: A method for delivering educational content to a user and detecting cheating in a remote assessment environment. The method includes receiving user assessment variables corresponding to a user performance on assessment questions presented by the educational content; generating a user profile based on the user assessment variables; recommending a new educational content item based on the user profile; presenting the new educational content item to the user via a display; receiving a user response to the new educational content; detecting anomalies in the user response by comparing the user profile with one or more of active user assessment variables or passive user assessment variables; and generating a notification of cheating based on the detected anomalies.