Scaling New Heights

Leveraging AI for Managing Large-Scale Learner Data in Learning Platforms

big data + AI = visibility and transformation

Harnessing the power of AI for managing and analysing large-scale learner data in learning platforms is a game-changer. AI organises vast amounts of data, efficiently. This enables the quick identification of learning trends and patterns. 

Whatsmore, is that you don’t need a large enterprise level learning platform to do this.

You can utilise AI to analyse your data to report on business impact, and tailor learning experiences to each individual. Even with large learner groups. Ultimately, AI transforms data into actionable insights, enhancing the overall learning process.

But what does this mean in reality? Let me explain…

Handling Large Data Volumes

Handling large data volumes is a breeze with AI. It efficiently manages and analyses data from numerous learners. AI extracts insights that are impossible to derive manually. This capability transforms raw data into valuable information. It ensures a deeper understanding of learning patterns and needs. 

If you are a medium to large organisation that does not want an enterprise level learning platform, this AI handling of data is still possible.

Lysander system screens

How to Make the Most of your Data without an Enterprise Level Platform

The best way for us to describe how you can utilise AI to enable visibility and transformation, is to explain how our clients do this with the vLearning Platform. 

Our clients utilise learning workflows. The workflow is a means to organise multiple learning events into one learning objective, and allocate this objective and all it´s associated learning events, to the relevant teams. 

This is linked to a back-end data tracking system. This tracking system enables you to:

  1. Show levels of engagement and progress in any learning objective.
  2. Identify sticking points, where learners struggle.
  3. Show business impact by tracking levels of ability to apply the learning in the workplace, using results and assessment, pass/completion/fail and more in-depth assessment types such as results from assessment submission and virtual coaching.
  4. Increase engagement with automated notifications for learners.

The manner in which AI can analyse the data for each type of learning intervention within your organisation, enables clear visibility on the business impact of each learning intervention. This is your key to improving and reporting on the business impact of learning.

learning workflow diagram

Want to Show the Business Impact of Your Learning Interventions?

We can help you to utilise data analysis to clearly and easily see learner interaction and levels of success of your learning interventions. Get in touch to take a look at the dashboard that can enable you to easily report on business impact.

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