ACCESS CONTROLS FOR EXTERNAL DATA RECORDS

    公开(公告)号:US20230092849A1

    公开(公告)日:2023-03-23

    申请号:US17575436

    申请日:2022-01-13

    Abstract: Methods and corresponding systems and apparatuses for configuring user access to data stored in and/or accessed through an external computer system are described. Access permissions can be configured through defining a permission set relative to a proxy entity and assigning the permission set to one or more users. A proxy entity is a local representation of an external data entity. A proxy entity can be a virtual entity in that the proxy entity does not contain underlying data. A proxy entity can, however, include metadata describing its corresponding external data entity. A computer system maintaining a proxy entity can store mapping information linking the proxy entity to an external data entity. The mapping information and the permission set can be used to determine an access permission relative to the external data entity and to communicate this access permission to the external computer system so that access can be provided accordingly.

    SYSTEMS AND METHODS FOR VALIDATING LOCALIZED ASSESSMENTS IN AN EXTERNAL SYSTEM

    公开(公告)号:US20210166573A1

    公开(公告)日:2021-06-03

    申请号:US16699654

    申请日:2019-12-01

    Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for facilitating the validation of assessments in an eLearning environment. Validation is facilitated using an assessment definition that includes one or more application programming interfaces (APIs) and identifies, for each of the APIs, a corresponding plugin and handler. Each of the APIs is configurable to obtain at least one user response to a corresponding challenge task via the corresponding plugin and each handler is configurable to validate the user response returned via the corresponding API. The accuracy of the user response to each challenge task is determined via the corresponding handler identified within the assessment definition. APIs can include a third party API, enabling validation of user responses across different systems. The user's knowledge may be assessed based upon the accuracy of the user's responses to all of the challenge tasks.

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