Please note that Pluto LMS do not create custom reports for the clients, this is just a sample to show you what the outcome will be for this setup and how tags can be used in reporting
List of tags
List of activities associated to those tags
List of user segments associated to the learner
List of learner details
Completions associated to the activities
The dataset structure is as follows:
Advantages of this dataset structure:
As new tags are added, the list will grow vertically without changing the table structure.
As the learner completion number increases, the list will grow vertically without changing the table structure.
This allows for scalable and dynamic changes/additions to dataset
The column structure shown above allows for easier query logic as the column references will not change as new rows are added to the dataset.
If an activity is tagged more than once, it will show duplicate rows of user and completion data within the dataset. Please ensure this is considered when doing completion checks.
The Client will still need to setup the LMS to restrict users to certain activities as required to avoid learners completing the wrong activity and showing in the dataset. This can be done via, but not limited to Activity Restriction Settings, Course Enrollments and User Segments.
The Client will need to define the activity completion settings to ensure the correct data is pulled into this dataset. For example, if completing a quiz requires a pass mark, ensure that this is setup. The system will pull a completion into this dataset based on how the Client has defined the completion.
Only user completions of a given activity will reflect in the dataset.
Note: The implementation of custom reports is out of Pluto LMS's support scope, however we will gladly assist you with understanding the database structure. Should you require support on writing custom reports, please make use of a 3rd party development service offering.
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