Learning is deeply embedded in the process of developing artificial intelligence. AI agents start out as young learners and deep learning takes place through a repetitive process where a particular piece of information is tried and tested multiple times by the agent before it starts doing it better than the human counterpart.

But what impact will AI have in the learning and development going forward? Well, the term AI immediately brings to mind the image of robot teachers thronging our classrooms and taking classes on everything from microbiology to history. However, before we actually start having them in classrooms, and which might not be anytime soon, AI has already started to percolate our learning programs in multiple ways.
Here we highlight some of the ways AI is and will impact our learning and development programs.
Adapative Learning
Imagine a platform that can identify your strengths and weaknesses the moment you enter and start going through questions and re-designs the assessment accordingly. So the customization happens instantly. Of course, it still needs human intervention in designing the assessments, carving out the content for the learning path and managing other aspects of learning. But adaptive learning platforms ensure that your learning path fits your psychographics, learning styles and learning speed and all of it can be monitored and directed by AI.
A good example of adaptive learning? Check out

Question bank
As learning developers, we all go through designing of evaluation methodologies and creating assessments becomes the key part to it. However, the entire process of designing question banks can now be eased up with AI with Intelligence Amplification. A startup working (check out on the stealth mode is already making it into a reality, where you can simply put up your content and he platform itself can give you the assessment questions in degrees of complexity. Imagine having an adaptive learning front end and an assessment engine at the backend driven by AI that can quickly churn out the right question based on the degree of complexity that has been determined by the front end for the learner? It's quite a bit of way before AI perfects the art of creating questions and responding to such a request accurately, but it will eventually be there.
Instructional design
It is difficult to create scenarios, weave them with teaching methodology, and create the right mix of teach and engagement to keep the learner hooked. So it doesn't look like the instructional designer will be replaced soon. However, in the world of content – AI startups are making an impact. Take for example. It's a robot writer with content brains.

You give it a topic, select whether you want the article to be unique or on a common area, select your word limit (the lowest being 250) and then hit Create. It will try and work out one for you that you can pay for and buy immediately.

The principles of instructional design are different of course, but it can still be directed and customized. In short, the technology can be created and if we are not wrong, someone is probably working on it.
So that's the third cog – an adaptive frontend, a robotic content brain in the middle and the assessment creation engine at the end.

So, what's left? Well, analytics and it's already there.

intelligent feedback
For an educator the aim is always to provide an intelligent feedback to the learner so that he or she can take corrective action and get better. With AI we can go the extra mile – providing data on which qualities need to be amplified based on approach, answer, ability to think, act and perform on a learning stage.

With recommendation systems and adaptive learning platforms it will only be easy for a learner to pick on the best qualities and rise above the rest.

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