L&D

How can AI help L&D in a company?

Artificial intelligence can be used in many beneficial ways to leverage the power of L&D. In the following ways it can be useful to create better solutions for learners.

  • Easy search results:

Content tagging is useful for learners because it helps differentiate the content. AI can tag the content as per the keywords contained in it. So, when a user enters a particular keyword in the search bar of the LMS, he can get the desired results. All this is possible through AI which analyses the content carefully and checks what keywords can be used to describe it. This is the keyword extraction strategy used for content segregation.

AI can also segregate the content as per the named entity recognition method. This involves assigning tags to the content as per the names and the places which are a part of it. So, when the user wants to get more information about a certain entity, he can use AI to do it. Apart from the above two methods, AI can also use the images and the videos contained in the content to tag it. It can use the title of the image to know what the content is all about.

Since the learners can easily access the content through the use of AI in the LMS, it reduces the workload of the admin. Apart from that, since the searches are made quite easy through the use of AI in the LMS, there is greater scope for just-in-time learning because the learners can easily get information. With AI-based algorithms working to deliver the search results to them, they learn immediately leading to better outcomes for the company. They don’t have to scroll through the entire content trying to find the relevant results.

  • Fair performance review:

Artificial intelligence is also useful when it comes to evaluating skill gaps. The AI can also be used to check whether there are any skill gaps in any employee’s performance so that proper training programs can be created to help them in time.

Without AI, organizations have to spend a lot of time creating the proper employee evaluation forms and using them to get relevant data. Then it again expends hours to go through that data. AI, on the other hand, creates forecasts of employee performance based on the current performance data and how will the employee perform in the future. But AI can ensure that the performance reviews don’t have any element of partiality in them.

Managers may give a positive opinion about someone based on favoritism. Therefore, there is no bias in the AI-based performance reviews.

When such gaps are analyzed, it becomes easier for a company to design proper training programs for its employees.

Managers can have a prejudice against an employee apart from that it’s not possible for them to conduct performance reviews for so many employees, it’s exhausting for them. It’s also tough for them to fill out forms about the performance of so many employees because they don’t have such knowledge. They can’t analyze the performance-based data of so many employees.

But with AI, it’s easy for such forms to be accessed by everyone who is in touch with an employee. When the employee’s performance data has been collected from different sources, there is less scope for wrong data getting collected. Therefore, when data is collected through AI, true feedback about an employee’s performance is received.

When the future performance of the employee is predicted through AI, it can give the management an accurate idea about his performance gaps and what to do about them. They can also set realistic training goals through L&D for him.

  • Easier learning in L&D:

AI can be used to provide better search results for learners based on their usage in L&D.

This technology can also be used to help those learners who have hearing impairments. It can create subtitles for them so that they have an ease of understanding the content. When AI is used in the LMS, it leads to better experiences for the learners.

The standard operating procedures can quickly be created with AI-based algorithms so that users can quickly consult them and solve their work-related problems.

AI is also useful for getting better tracking data from the LMS, implying that the company can take better decisions about its use. It can also get insights into how well the users are responding to the eLearning content. AI can be helpful in creating content in the appropriate format for learners. Suppose the learners want to see simulations of a theoretical chapter, it’s possible with AI. This ensures that the learners are able to understand the tough concepts quite easily.

When the LMS admins in L&D, don’t have time to check the assignments given by students, AI can do the same tasks quite expediently and efficiently. This makes sure that the admin and the instructors are relieved to do other work.

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