ASSISTING REMOTE EDUCATION LEARNERS
    1.
    发明公开

    公开(公告)号:US20240105074A1

    公开(公告)日:2024-03-28

    申请号:US17935278

    申请日:2022-09-26

    IPC分类号: G09B7/02 G06N5/02

    CPC分类号: G09B7/02 G06N5/022

    摘要: Provided are techniques for assisting remote education learners. Data is collected for an actual base environment, a simulated base environment, and an exam environment for a learner taking an exam. The collected data is used to generate a first behavior pattern for the learner in the simulated base environment and a second behavior pattern for the learner in the exam environment. In response to the second behavior pattern deviating beyond a threshold from the first behavior pattern, a classification of non-cognitive learners class is determined for the learner. A de-bias technique is applied to the classification to generate a final classification. In response to the final classification being the non-cognitive learners class, education material for a subject covered in the exam is selected, and the educational material is played on a remote learner computer of the learner.

    INTELLIGENT SOCIAL INTERACTION RECOGNITION AND CONVEYANCE USING COMPUTER GENERATED PREDICTION MODELING

    公开(公告)号:US20210358324A1

    公开(公告)日:2021-11-18

    申请号:US15930564

    申请日:2020-05-13

    摘要: A method, computer program product, and system include a processor(s) obtaining, environmental data comprising captured audio data and captured image data. The processor(s) generates, based on the environmental data, a user profile for the user, by cognitively analyzing the environmental data to perform a binary valuation of one or more pre-defined core attributes. The processor identifies, based on the environmental data, one or more entities within the vicinity of the user. The processor(s) generates a subject profile for each entity of the one or more entities by cognitively analyzing the environmental data to perform the binary valuation of the one or more pre-defined core attributes. The processor(s) predicts perceived positive or negative outcome of the user initiating a contact with each entity of the one or more entities. The processor(s) generates a recommendation to initiate the contact with the at least one entity and transmits the recommendation.

    Assisting remote education learners

    公开(公告)号:US12100316B2

    公开(公告)日:2024-09-24

    申请号:US17935278

    申请日:2022-09-26

    IPC分类号: G09B7/02 G06N5/02 G06N5/022

    CPC分类号: G09B7/02 G06N5/022

    摘要: Provided are techniques for assisting remote education learners. Data is collected for an actual base environment, a simulated base environment, and an exam environment for a learner taking an exam. The collected data is used to generate a first behavior pattern for the learner in the simulated base environment and a second behavior pattern for the learner in the exam environment. In response to the second behavior pattern deviating beyond a threshold from the first behavior pattern, a classification of non-cognitive learners class is determined for the learner. A de-bias technique is applied to the classification to generate a final classification. In response to the final classification being the non-cognitive learners class, education material for a subject covered in the exam is selected, and the educational material is played on a remote learner computer of the learner.

    Intelligent social interaction recognition and conveyance using computer generated prediction modeling

    公开(公告)号:US11386804B2

    公开(公告)日:2022-07-12

    申请号:US15930564

    申请日:2020-05-13

    摘要: A method, computer program product, and system include a processor(s) obtaining, environmental data comprising captured audio data and captured image data. The processor(s) generates, based on the environmental data, a user profile for the user, by cognitively analyzing the environmental data to perform a binary valuation of one or more pre-defined core attributes. The processor identifies, based on the environmental data, one or more entities within the vicinity of the user. The processor(s) generates a subject profile for each entity of the one or more entities by cognitively analyzing the environmental data to perform the binary valuation of the one or more pre-defined core attributes. The processor(s) predicts perceived positive or negative outcome of the user initiating a contact with each entity of the one or more entities. The processor(s) generates a recommendation to initiate the contact with the at least one entity and transmits the recommendation.