Corporate training is changing. It is evolving from the traditional classroom model into a more autonomous, technology-driven exercise that encourages learner self-direction. Driving this evolution is the cloud. New adaptive learning platforms leveraging cloud computing with artificial intelligence and deep learning are transforming the way companies pursue learning and development.
As with all systemic changes in the corporate world, the evolution of corporate training via adaptive learning is bound to have a significant impact on outcomes. In other words, improving training methods should improve outcomes. That is the whole point, right?
Salt Lake City’s Fulcrum Labs is an adaptive learning company with an award-winning platform. They say adaptive learning is changing corporate training in five key ways:
1. Real-World Competency
No amount of training will yield maximum ROI if it does not reflect real-world competency. As such, adaptive learning platforms tend to dispense with ‘check-the-box’ training, as Fulcrum Labs calls it, in favor of training that focuses on real-world outcomes. Learners are challenged not only to master information itself, but also how that information applies in the real world.
The goal is to ensure that learning has a purpose. It is to ensure that company KPIs are measurably improved because training was implemented. Companies are not training just to train; they are training to achieve real-world competency.
2. Reduced Training Time
Corporate training can be a drain on company resources if it takes too long. Adaptive learning platforms seek to reduce the drain by reducing the amount of time it takes to complete training. This is accomplished through an autonomous, self-directed approach that encourages learners to develop pathways that work best for them. It is not about getting through training courses as fast as possible. It is about making training more efficient so that it doesn’t take as long to master material.
3. Leveraging Artificial Intelligence
Artificial intelligence and deep learning are tools that have immense value in the adaptive learning environment. By making artificial intelligence part of the learning equation, adaptive platforms can deliver personalized learning that adjusts to learner needs in real time. Moreover, artificial intelligence provides valuable feedback and recommendations for remediation, helping learners complete their learning pathways according to their own strengths and weaknesses.
4. Teaching New Skills
As corporate training changes, so does the corporate environment itself. Employers are discovering that significant skills gaps exist within their workforces. They are also discovering they do not have to go out and hire in order to fill those gaps. They can turn to adaptive learning to give existing employees opportunities to learn those skills that will enhance their productivity, efficiency, and employability.
Better yet, an adaptive learning platform powered by artificial intelligence can identify skills gaps for each learner. A learner’s pathway can be adjusted on-the-fly to address those gaps. The learner emerges on the other end with new skills and greater confidence that benefit both him and the employer.
5. Data-Driven Decisions
Finally, one of the biggest advantages of modern adaptive learning is that it produces actionable data for employers. Learning and development policymakers no longer have to guess as to whether or not training programs are accomplishing something meaningful. They do not have to wonder what the ROI on their training programs really is. They can see all the data for themselves.
This allows for making data-driven decisions moving forward. Take away the guesswork and corporate training suddenly becomes more efficient and productive. ROI goes up, skills gaps narrow or disappear completely, and real-world competency improves.
Corporate training is changing. It is evolving to become an entirely new enterprise powered by data-driven, competency-based adaptive learning. Is your company on board yet?