predictive learning analytics

Adaptive learning 3.0: Death, Taxes and Predictive AI

Fulcrum Labs
111 posts

Nothing’s certain but death and taxes…so the saying…went.

That’s because today, armed with AI and machine learning technology, death and taxes no longer corner the market on certainty.

Companies are leveraging AI to predict things like diabetic emergencies, crop yields, social unrest and even court case outcomes. And, if AI can mimic our speech, finish our stories and identify personality types from eye movements (yes, that last one is a real thing), then why can’t it be harnessed to reduce some of the uncertainty that plagues L&D?

For example, imagine if you could actually predict how your employees will perform – not just today but far into the future? Or if you could accurately forecast how your training programs will impact your organizations’ bottom line? Or if you didn’t have to wonder about employee engagement, because you could track it in real time?

For L&D departments that struggle to make sense of (and impact with) learner data beyond the simple learner survey, this might sound like some far-fetched future scenario. But we’re here to tell you it’s the real deal. And it’s happening now with something we call: Adaptive 3.0.

AI Drives Predictive Learning Analytics

We’ve talked before, in other posts, about the ways that AI is changing adaptive learning programs. Adaptive 3.0 learning systems leverage AI and machine learning to deliver training that’s more dynamic, more effective and more user friendly than anything previous. These adaptive 3.0 systems are also smarter. Not just in terms of getting more intelligent with every user interaction (although they’re doing that too), but in terms of the insights they can provide to learning departments and executives.

AI technology allows adaptive learning programs to do something they’ve never truly been able to do before – to predict learning outcomes. AI-powered adaptive platforms not only analyze learner performance but can also evaluate two powerful new factors: behavior and confidence. Combined together, this data formulates a holistic picture of workforce skills and aptitudes. And using this data, AI can make some very accurate and incredibly useful predictions, like:

  • Where there are areas of risk within an organization
  • What skills people need to learn today, tomorrow and next year
  • When skills need to be refreshed to maintain accurate application

 

Fulcrum’s Predictive Learning Analytics

Fulcrum’s adaptive 3.0 learning platform is one technology that’s leading the vanguard of AI in learning tech. In fact, AI and machine learning are at the very core of our technology – driving how it adapts to best serve each learner, how it validates skill mastery and confidence, supports self-remediation and how it delivers analytics…predictive learning analytics, that is.

Our analytics not only tell L&D the “who, where and why” of learner analytics (who’s struggling, where they’re struggling and why they’re having difficulty), but they also make some pretty accurate predictions about future learner performance, behavior and likelihood to succeed. For example, the system can tell you:

  • Who’s likely to master the content, and who’s going to need more remediation
  • Who will be able to use the skills they’ve learned to excel in their role
  • Who will struggle to apply the training once they’re back on the job

When your learners will start to forget the training and what time is optimal for a refresher

  • How your workforce as a whole will perform around specific KPIs
  • Which learners are most engaged and what’s likely to get their attention
  • How effective content is and areas where it needs to be improved
  • What content you’ll need to develop next to meet emerging needs, wants and learner behaviors

 

Outcomes of Predictive Learning Analytics

This type of data doesn’t just predict the future, it also empowers learning professionals to change it – through targeted remediation, coaching and mentoring and improved training initiatives. Additionally, predictive learning data equips CLOs and learning leaders with the quantitative analytics they need to demonstrate efficacy, tie learning to business outcomes and, when necessary, advocate for more budget and significantly greater buy-in. Finally, predictive learning data helps learning departments foster a culture of learning within their organizations. It allows them to proactively anticipate and recommend continual learning and growth opportunities for their employees.

Don’t let your learning data remain an uncertainty. Let us show you the impact the Adaptive 3.0 predictive analytics can bring to your organization. Schedule a demo of our AI-powered adaptive platform today.

 

Adaptive Learning 3.0: Beyond Branching & Algorithms

Adaptive Learning 3.0: Defeating the Adaptive Loop of Death

Adaptive Learning 3.0: Finding the Right Learning Pathway for ALL Learners

Adaptive 3.0: Using AI to rework Confidence in Adaptive Learning