One of the biggest challenges that companies face as they try to improve their learning & development programs is time. With today’s technology, L&D professionals can get granular data on how learners interact with content, what resonates and what does not.
That information is a goldmine for refining L&D strategies and making training more efficient and effective. However, manually sifting through data and updating content can be too time consuming an endeavor to undertake.
Artificial intelligence tools are the answer to this problem. Not only that, but they can also improve the quality of L&D programs by helping learners. We’ve discussed how AI can help personalize content to address individual learning styles. But the possibilities for integrating AI to improve L&D go far beyond that, and they are not as futuristic as people think.
Let’s look at some AI-based capabilities that are available today.
How AI can help with L&D management
Data is the backbone of AI. By measuring what courses learners are taking, how long it takes to complete them, how well they perform on tests and evaluations, as well as what feedback they have on the efficacy of the modules, AI can equip L&D professionals with valuable insights on how to refine programs. They can also ensure that those programs are aligned with business goals.
The tools can even automatically suggest improvements or implement them, and they can do so in a real time and continuous manner that keeps L&D content relevant while freeing up the time of L&D professionals to oversee and manage systems rather than manually input changes.
Many L&D professionals spend a lot of time curating their learning libraries for learners. AI can do that instantly, and it can personalize choices to the learner and their preferred style, making course content more relevant.
How AI can help learners
At most companies, executives receive individual coaching while most employees rely on learning modules and occasional meetings with managers to advance their careers. One of the most exciting uses of AI in L&D is that it can make individual mentorship available to all workers.
Imagine an AI tool that assesses a worker when they are hired and suggests training that helps them attain missing skills. It helps them stay on task with reminders and collects feedback, continually assessing the learner at regular intervals. As the individual’s job role shifts, the tool can suggest ways to upskill. Over the years, the tool develops a deep understanding of how the individual learns and the most effective ways to help the learner advance.
Coaching apps are already common and they can be a valuable guide that complement classic mentorship. They help managers better understand learners and how best to help them.
Another advantage AI offers learners is that it can make the L&D process impartial and objective, so that paths of learning and the hiring decisions made based on them can be free of bias.
Clearly, for both the learner and the L&D professional, AI provides many useful ways to improve learning and make developing a smart, competitive workforce more achievable.
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