12th December 2017 TESTMatt Jarman

One size fits all? The benefits of reactive, AI-tailored learning

It’s annoying isn’t it?  Being taught something you already know?  Being tested on a skill you already have?  Imagine if you had to retake your driving test every year – just to prove you hadn’t forgotten how to drive?  But isn’t that what we do with corporate learning?

Every year Firms subject thousands of employees to the repetitive tedium of clicking through content that many of them already know.  Content that some probably know even better than the team that pulled it together.  Of course, not everyone knows everything and what is pointless for some will be crucial to others.  Some will find themselves so disengaged by being forced to click through turgid content that was already familiar, that by the time they reach the valuable materials that they could genuinely benefit from, they have simply lost the will to learn….

So how can we address the ‘one size fits all’ problem?  We have listed a few thoughts below.  As always, we’d be very interested to hear what you think.

Reactive learning

One solution is leveraging Artificial Intelligence (‘AI’) to adapt materials for employees.  This is far less complex than it sounds!  AI technology now allows us to learn loads of valuable information from the manner in which users interact with materials.  For example, the speed of interaction, the accuracy of response and the consistency of response within subject areas all provide a view of user competence, confidence and experience.  Users scoring highly in such fields can then be swiftly progressed to more challenging questions whilst those requiring more time can continue to hone their knowledge.  This allows all users to use training effectively and most importantly it keeps users engaged!

Put your money where your mouth is

Another solution is allowing users who feel they have little to gain from relearning content to prove it.  Think you know this all ready?  No problem – let’s have a look then.  Allowing users a ‘teach me’ or ‘test me’ option gives firms the opportunity to assess competence, whilst also showing flexibility.

Sounds great, but what if users fail?  These aren’t school exams and just because the user got one aspect wrong shouldn’t mean having to relearn the whole syllabus.  In fact, requiring users to restart materials from scratch would mean just wasting more of their time, and making them even more disengaged.  Of course, many users will not be able to meet the competency in every aspect of the subject straightaway.  Thankfully AI can identify areas requiring enhancement and direct users to shorter, discreet sections of learning materials.  Rather than rigidly sticking to a ‘one size fits all’ curriculum which tries to satisfy everyone’s needs and therefore meet nobody’s, this approach allows users to spend their time focusing on areas that really matter for them.

This is actually a great outcome, and in our view, has to be the future of learning.

What do you think?  We’d love to hear from you.  Contact us at info@hyfin.com to discuss.