Abstract:
In an example, a processing system of a database system may categorize event data taken from logged interactions of users with a multi-tenant information system to provide a metric. The processing system of the database system may periodically calculate the metric for a particular one of the tenants, and electronically store the periodically calculated metrics for accessing responsive to a query of the particular tenant.
Abstract:
Disclosed are methods, apparatus, systems, and computer-readable storage media for modifying permission sets and validating permission set assignments to users. In some implementations, a computing device receives a request to create a permission set containing one or more permissions and assign the permission set to a first user. The first user is associated with a first user constraint that defines a first group of permissions available to the first user. The computing device may determine that the permission set to be assigned to the first user does not violate the first user constraint, and may assign the permission set to the first user.
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.
Abstract:
Disclosed are some implementations of systems, apparatus, methods and computer program products for implementing an electronic learning (eLearrning) system. In some implementations, an indication of a user selection by a first user of electronic learning content of an electronic learning (eLearning) system is processed, where the electronic learning content includes a learning module. Responsive to processing the indication of the user selection, the learning module is initiated or resumed by providing one or more of a plurality of content items of the learning module for presentation by the client device. The progress of the first user in relation to completion of the learning module is tracked. An unanswered question that pertains to the learning module and that has been submitted by a second user is identified based, at least in part, on the progress of the first user in relation to the completion of the learning module. The unanswered question is then provided via a web page of the learning module for presentation via a client device of the first user.
Abstract:
Disclosed are some implementations of systems, apparatus, methods and computer program products for generating custom courses for users. A goal of a user of a database system is ascertained and users of a database system that have reached the goal are identified. A list of content items including educational content is generated. The list can be generated using artificial intelligence or computer-generated models. In addition, dependency trees can be applied during the generation of a computer-generated list of content items. The content items can represent a variety of resources including educational learning modules or trails, as well as other actions that the user can take to reach their goal. The list can be provided via a web page for display by a client device, and the user can interact with the list. The user's achievements with respect to the list are tracked and a record of the user's achievements can be updated within the web page, as well as other web pages for access by other users.
Abstract:
Disclosed are examples of systems, apparatus, methods, and computer program products customizing sequences of content objects in an educational content management system. In some implementations, educational content objects can be displayed. A first educational content object selection can be processed. A content object sequence can be generated or updated and the first educational content object can be added to the content object sequence. A second educational content object can be added to the content object sequence. The content object sequence can be shared with a user of an enterprise learning system.
Abstract:
Disclosed are examples of systems, apparatus, methods, and computer program products for generating content objects using an integrated development environment. In some implementations, an integrated development environment is displayed. A request to generate or update an educational content object can be processed, and a presentation including metadata selection options can be provided. After a selection of one of the metadata selection options is received, the presentation can be updated. A different request is received from a rich text editor provided in a new presentation, and the new presentation can be updated.
Abstract:
An on-demand computing services environment provides computing services to clients via the Internet. The on-demand computing services environment may be associated with skills that each identify the use of a one or more features of the environment. Skill ratings associated with one or more of the skills may be identified for a user account. A recommendation profile for the user account may be determined based on the designated skill ratings and a skill graph indicating dependency relationships between the skills. The recommendation profile may identify one or more training modules to be completed in association with the user account. A recommendation message including one or more recommendations selected from the recommendation profile may be transmitted to the client machine.
Abstract:
Content deployment systems and methods are provided for integrating and deploying selected content items as part of a specific release. A content publishing engine includes a processor that can execute a release management API that is configured to manage and store a manifest record that specifies release items by API name that are allowed to be part of the specific release. The processor is configured to execute a bulk API that is configured to receive content package objects from a plurality of content sources. For example, the first content source can directly invoke the bulk API to send first content items to the content publishing engine. A filter module can extract selected first content items that are specified in the manifest record for inclusion in the specific release, and add the selected first content items into a release object so that they are included as part of the specific release.
Abstract:
Disclosed are examples of systems, apparatus, methods and computer program products for creating custom platform objects for a multi-tenant non-relational database environment. A database system maintains a multi-tenant non-relational database associated with multiple enterprises and a number of records for each of the enterprises. The system also maintains a dynamic virtual table associated with a number of records. A request is received from one of the enterprises to define a custom data object within the database system, uniquely associated with an enterprise. The request is processed, and a custom object is generated based on the request. The custom object defines database columns corresponding to the data object and the enterprise. The virtual table is updated to include virtual columns corresponding to the database column definitions, and existing columns of a shared table in the non-relational database are updated to match the virtual columns. Access to the existing columns is then restricted for enterprises not uniquely associated with the custom data object.