Automated AI-based intervention and issue detection, resolution and monitoring

Automated AI-based intervention and issue detection, resolution and monitoring

ELSA automatically detects the most common issues and helps you resolve these with recommended actions, templates and smart tracking

By observing and analysing common behaviour and interactions of your participants, Practera’s AI-based “Experiential Learning Support Assistant” – ELSA – is able to help you identify potential issues and can provide you with the tools and guidance to intervene in real-time. You could say that ELSA is your personal support assistant for any type of experiential learning.

Whenever ELSA detects an issue based on the participant or mentor behaviour in your experience, it will instantly create a todo list item.

Each automated todo list item has a suggested action that should be taken to resolve the issue. When taking the action, ELSA will provide you with message templates based on best-practices from thousands of previous interventions.

Once an intervention message has been sent, it will automatically be logged and tracked by the system, so that you can see whether or not a particular participant or mentor has actioned on your intervention.


The types of automated intervention tasks

Based on artificial intelligence and machine learning

  • Negative sentiment (Detecting negative sentiment in any part of a mentor, student or team submission)
  • Team disengaged (coming soon)
  • Team off track (coming soon)

Based on statistical analysis

  • Team dissonance (Detecting dissonance between the students answering the Pulse Check question “Do you feel your team is on track”)
  • Missing teams allocations (Detecting participants without a team in an experience that has at least one team)
  • Submission overdue (Detecting an overdue submission)
  • Submission unassigned (Detecting a feedback cycle that is stuck because a  submission hasn’t been assigned to a reviewer yet)
  • Reviewer reminder (Detecting a feedback cycle that is stuck because an assigned reviewer hasn’t done their review yet)
  • Feedback unpublished (Detecting a feedback cycle that is stuck because the feedback hasn’t been published to the student or team yet)

Resolving an issue

Depending on the the type of suggested intervention, ELSA will provide you with the required next action. The different actions are either

  • leading to the Practera screen where the issue can be resolved (indicated by an arrow icon in the action label) or
  • opening up a messaging popup to reach out to the suggested participants (indicated by a mail icon in the action label)

Once the suggested action has been performed by and administrator or coordinator, the todo list item will be crossed through and moved to the bottom of the list.

Intervention messaging tool

For every item with a message action, ELSA guides you through the process using its intervention message popup.

Note: Every message will have an action link at the bottom that logs in the participant. You will be able to monitor who has clicked on that link and actioned on your intervention.

Select Users

On the left hand side of the Message Popup you see all participants that have been detected for the specific intervention. You can select the ones that you want to send the message out to. If you don’t send the message to everyone, the remaining users will continue to show up as detected issue on the todo list.

Select Template

You can write the messages from scratch, or you can select one of our templates. The templates are specifically written for the type of intervention at hand and can be customised by you in the editor to suit your specific environment.

Dynamic message codes

To personalise the message further, you can select from a range of codes that will be interpreted for every individual message. For example, use “Hi [first_name]” to use the first name of the user.
To add a code, you can either click on it, or type it manually.

Select notification channel

The two available channels are SMS and Email. Practera will use any channel that has message content.

Important Note: It is advised to always include the email channel, because SMS can only be delivered if the user has their mobile number stored.

Intervention tracking

When actioning a suggested intervention, ELSA automatically logs the intervention for and its message in the intervention log for you. (You can see the log by clicking on the “Interventions” tab on the dashboard)

Every message includes an action link at the bottom that guides participants to exactly where they need to go to address the detected issue. The “Suggested action taken” will indicate if someone has clicked on that link – either in the SMS or email.

Once a click is detected, it will show a “YES” in the column.

Deleting wrong suggestions

Elsa is constantly learning how to become better at detecting and predicting issues. She is far from perfect, so sometimes she will recommend an action that is irrelevant. If you think a flagged issue is not needed, it can be removed from the list

Delete the suggestion

You can, at any time, remove an entry from the todo list by clicking on the “Delete” icon. Elsa will not flag the same issue for the same student again.

Let Elsa remove it

The todo list entry will be visible for 7 days. If you haven’t actioned the suggestion, Elsa will assume that it was not relevant and remove it from your interface.

What’s next


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