The robots are coming. But maybe not in the horrific sense you imagine. On the contrary, when artificial intelligence (AI) moves into corporate learning, a lot of beautiful magic can happen. And, most importantly, make it easier to create, administrate, and boost learning activities for your employees.
Today, AI gets more and more advanced, and it is used in many different scenarios, for example in internet software, for security circumstances, in autonomous flying and, as we will dive into here, corporate learning. However, no matter what place the AI flows freely, one thing is always for sure: The more high quality data you have to fuel your AI technology (and other digital hr tools), the more effective and accurate it will be.
Let's look into specific examples where AI can improve corporate learning:
Examples - AI in Corporate Learning
However, in some cases, robots can be evil. And this is when they take over human jobs. Technology is evolving in a rapid pace, and, at the same time, it gets more capable to do more tasks - often with a sort of routine element. When this happens people should be reskilled into new jobs internally, instead of losing their jobs completely to the technology.
Reskilling is, in general, a key point to focus globally. The World Economic Forum anticipates that 75 million jobs get displaced by 2022 in 20 major economies. Underlining the importance of reskilling. Furthermore, 42.9 % considered upskilling and reskilling as their top priority in Learningbank's Nordic Learning Trends 2020.
AI recommended learning can come in handy to handle reskilling. This is learning recommended to you personally, if you want to get the right skills to move into another function internally. The learning content provided by the AI can come to you in small pieces to unbox called microlearning, and over a period of time. In this way, learning content will not cluster your workday and, instead, be easier to digest. This is called stretched learning.
And now, we are talking recommendations... AI in corporate learning is all about personal recommendations. These are some typical examples of personal recommendations an AI technology can give to you in a learning setting:
- Upskilling opportunities based on your job profile in specific industry
- Based on your own interests
- What learning content did your teammates/organization complete?
- Most popular learning content others completed with the same job profile as you
- Best time of day to complete learning content based on your habits
AI is not necessarily 'invincible' recommendations just happening and flowing straight to your screen. AI can also take shape as a friendly chatbot or a virtual coach.
They are AI-personifications of the recommendations, and, at the same time, they can boost motivation where it is suitable, while they keep track of learners' performance. This creates a more personal learning experience, and this type of virtual coach can also assist in finding specific content that you ask for. This will improve the AI too, and get it even more focused on what kind of learning content you could need in the future.
If we dig a bit deeper. AI in corporate learning can also be used in advanced analytics setups. Let's get technical: Experience APIs (xAPI) are types of integrations for your LMS, LXP or LLP. An xAPI can track different types of learning activities, collect data, and store it. The data can come from at lot of places, both your company intranet, surveys, resumes with information about skills, courses completed, etc. This data can be used in an advanced analytics setup, where you with the help from the AI can find out what kind of training and learning activities are needed for this specific individual.
Furthermore, AI can be valuable for you as an administrator, because you can view certain patterns and connections in the behaviour of learners. By connecting the dots you can improve the learning content at certain points - maybe to boost learner engagement and completion rates.