Learner Login Types: Pros & Cons

No Login

• Easiest way to log in
• Does not allow you to track individual learners
• Licenses are used quickly since the sessions are anonymous. For instance, if 1 Learner does 2 sessions, this is equal to 2 licenses

Learner Email Login

• Allows you to track individual learners
• Email addresses of Learners are not needed in advance, especially if there is only one class available to them per module
• This is the recommended login for tracking individual learner data and license usage

Class Login

• All members of a class log in with one code
• Most useful if there is more than one class and Learners need to remain anonymous
• Does not allow you to track individual Learners
• Learners must know their class code to access content
• Licenses are used quickly since the sessions are anonymous. For instance, if 1 Learner does 2 sessions, this is equal to 2 licenses

FAQ

What happens if a Learner enters an incorrect email address?

If the Learner chooses to enter an email address, it will be checked to ensure that it is in a proper email address format, but there is not a check to confirm that the email address is valid and registered to Perform. Their session data will still be captured, but it will appear in the "ungrouped" category on the analytics page.

If the Learner has already been added to the system, the system will automatically recognize their email address when the session data is uploaded, and the data will be associated with that Learner Group.

NOTE: If there is more than one active Class, the Learner will need to choose a Class after submitting their email address before their session can start.

What happens if the email address a Learner enters into their device is correct, but the email address hasn’t previously been registered in the Perform portal and there is no user account?

The Learner’s session will still be recorded, but the user's name and email address will be flagged as unidentified. The email address the Learner entered is displayed in the Code field.

If a learning session happens while the device is not connected to the internet, how does a class code get validated?

If the device isn't connected to the Internet, the system will make sure the code is in the right format (4 alphanumeric characters) and will show an error if not in the right format:

Once a code is entered in the appropriate format, the experience will launch. When the device reconnects to the Internet and session data is sent to Perform, data will be associated with the appropriate class.

When only one Class is active in the portal, regardless of whether the code entered while offline is valid, all data will automatically be associated with that Class. If the code was entered incorrectly (but still in the correct format) while the device was not connected to the Internet, and there is more than one Class active for the corresponding Module, that data will only appear on the performance analytics in the portal if the [Unassigned Class] option is selected in the Class filter section.

Email support@promisevr.com if you need assistance associating a learning session with a particular Learner and/or Class.

What happens if a Learner enters the wrong class code?

If the device is connected to the Internet, entering a wrong code prompts an error message where the Learner is asked to re-enter the code. If the device isn't connected to the Internet, the system will make sure the code is in the right format (4 alphanumeric characters) and will launch the experience. 

However, when the device reconnects to the Internet and session data is sent to Perform, data will only appear if the [Unassigned Class] option is selected in the Class filter section.

How do I verify that an individual Learner has completed the experience?

Each Learner who entered a valid email address will have session data available in the export file available on the Performance analytics page in Perform. Be sure to apply the relevant module and Class filter settings in order for the export to show the data you are looking for. The export only shows the data represented by the filters on the Performance page.

 

Example csv export data showing email address:

How do I enable class codes?

If approved by Moth+Flame for unique situations, Moth+Flame can alternatively set, at the Module level, the ability to use a Class Code to indicate which Class the session data should be recorded for.

Note: Performance analytics will not be available at the Learner level when Class Codes are used. Email addresses are required to track license usage, so session counts will be used to track license usage when no email login exists. The steps to enable a Class Code are as follows:

1. Contact your Customer Success Manager to have a discussion about your desire to use anonymous performance analytics.

2. Once approved, a Moth+Flame administrator will enable anonymous Class Code login for the Module(s) that are not intended to have Learner-level tracking.

3. Log in to Perform.

4. Create a Class.

5. A class code will be automatically generated.

6. The Instructor or Administrator can optionally choose a different 4-character Class Code.

   

7. Provide Class Code to all Learners at training.

How do I enable anonymous login?

If approved by Moth+Flame for unique situations, Moth+Flame can alternatively set, at the Module level, the ability to avoid using any Learner ID. Email is required to track license usage, so session counts will be used to track licenses when usage is anonymous.

How does login method affect the user experience when multiple classes are active?

Classes are used for tracking analytics across shared devices. If there are multiple active Classes, one of the following scenarios would apply:

• If there is no learner ID enabled, the Learner would be asked to choose which Class to associate their session with. 
• If email login is enabled, the learner will go directly to their assigned class.

If there are many active Classes, this will cause added friction and potential for errors rather than using an alternate method of code-based learner identification.