SKILL BASED INTELLIGENT SWARMING WITH SKILL TRACKING AND DEVELOPMENT

    公开(公告)号:US20230091248A1

    公开(公告)日:2023-03-23

    申请号:US17448301

    申请日:2021-09-21

    IPC分类号: G06Q50/20 G06Q10/06

    摘要: Techniques are described for assigning users to swarms based on skill and generating recommendations for increasing skill proficiency. In some implementations, a request specifying a set of requirements for completing a task includes at least one required skill, optionally in combination with a required minimum proficiency value(s). Metrics can be generated based on statistical analysis of instances in which a task is at least one of: (i) assigned to a user who is not associated with a required skill, (ii) assigned to a user whose proficiency value is below a required minimum proficiency value, or (iii) assigned after a delay due to unavailability of a user who is associated with a required skill. The computer system can identify a first skill for improving the metrics, identify a user for becoming associated with the first skill, and send a notification recommending an online learning resource relating to the first skill.

    PROCESSING APPARATUS, ATTENDANCE CHECK SYSTEM, PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM

    公开(公告)号:US20230087741A1

    公开(公告)日:2023-03-23

    申请号:US17903651

    申请日:2022-09-06

    申请人: NEC Corporation

    发明人: Fumiyuki MIYAHARA

    摘要: To provide a new technique for checking attendance of a student, the present invention provides a processing apparatus 10 including: an acquisition unit 11 that acquires an internet protocol (IP) address of a student terminal; a decision unit 12 that decides whether a student is present in a first area, based on an IP address of the student terminal; and an attendance check unit 13 that performs an attendance check of a student, based on a result of a decision whether a student is present in the first area.

    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.