Configuration Added to Content Skills Tagging Enablement Page
With this enhancement, the Content Skills Tagging page now includes a configuration setting that enables administrators to choose whether skills detected from machine learning are automatically tagged to a Learning Object (LO) or only marked as ‘Suggested’.
If the configuration setting is set to “Yes, automatically tag my content with skills (Recommended)”, the detected skills are automatically added to an LO. If the configuration setting is set to “No, I would like machine learning to only suggest skills for my content”, the detected skills are saved as ‘Suggested’ for an LO.
Note: Regardless of the configuration, administrators may continue to manually add skills to LOs via Edge Import.
To access Configuration Setting on the Content Skills Tagging page, go to . After selecting an option, click .
The enhancement affects the status shown on the Training Capabilities report in Reporting 2.0, what skills are shown on the Course Console, and which Learning Objects (LO) are shown as results in the Related Learning widget and Search's Skills filter.
How Does this Enhancement Benefit My Organization?
- Grants control over what skills are tagged to content and their effect on the Skills Filter in Search and Related Learning results.
- Improved UI for the page and clearer user flow for the skills enablement process.
- Affects what Learning Objects are shown via the Skills Filter in Search, and Related Learning results (from their Skills Profile).
Considerations
- If the configuration is set to ‘No, I would like machine learning to only suggest skills for my content’, the LOs shown in the Related Learning widget and the Skills Filter for Search are only impacted by administrator-tagged skills.
- As Suggested Skills do not influence the Related Learning widget or the Skills filter, the onus falls on the administrator to tag content with skills manually if they select the configuration ‘No, I would like machine learning to only suggest skills for my content’.
- A customer’s custom skills are only considered in Content Skills Tagging if they are marked as equivalent to a Skills Graph skill (See Linked Skills in Online Help).
Frequently Asked Questions (FAQs)
How long does it take for a portal to be tagged with skills?
Once Content Skills Tagging is enabled, the page is locked for 24 hours. This is the case both for initial enablement and subsequent configuration changes.
After enablement, can I change my configuration setting?
Yes, changing your configuration setting triggers a re-tagging of your portal’s content and updates the status of your skills from Auto-tagged to Suggested, or vice versa. This change takes up to 24 hours.
How does the Machine Learning model identify which skills to tag to an LO?
The model scans key metadata fields for each LO (Title, Description, Keywords, Subjects). Based on this data, the model identifies skills as a ‘Strong Match’ or a ‘Weak Match’. If Auto-tagging is configured, ‘Strong Match’ skills are tagged to LOs.
Does that mean that a ‘Strong Match’ skill can be either ‘Auto-Tagged’ or ‘Suggested’?
Yes, based on the configuration setting, Strong Match skills are either Auto-Tagged or Suggested. This impacts what skills are tagged to your LO, which affects results in Search's Skills Filter and the Related Learning widget, the status of skills in a Training Capabilities report in Reporting 2.0, and which skills are shown for an LO on the Course Console.
What is the benefit of seeing Suggested skills in reports?
Administrators can decide whether to manually add these skills to an LO. This human input feeds back into Cornerstone’s Machine Learning model, improving future skills recommendations.
Implementation
This enhancement is enabled by default for all organizations.
Permissions
The following existing permissions apply to this functionality:
| PERMISSION NAME | PERMISSION DESCRIPTION | CATEGORY |