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Learning managers, have you heard the distant rumble these last few years? Have you felt the earth moving under your feet? If yes, then you probably know you’re feeling AI technology’s stealth stampede. If you haven’t, well, maybe remove the earbuds, lift up the rock of complacency you’ve been snuggled under and start paying attention. The world of learning is under siege, mostly in a good way. Nearly 50% of learning management systems will be powered by AI in the next three years, higher in traditional academic settings, given students’ proclivity for tech adoption (both positive and negative). The whole concept of how we learn is undergoing nothing less than a revolution.
As we’ve said in this space, however, L&D leadership must not rush headlong into this integration. They need to thoughtfully incorporate, resisting the temptation to charge ahead without a prudent plan. But if educators approach it with a modicum of caution, if they pull back on the reins a bit, AI is destined to make learning more successful, content more efficient and engaging, and perhaps best of all, personalized for all learners.
Each learner is unique—with strengths, weaknesses, blindspots, and intellectual foundations—and so has a unique pathway to achieving knowledge. Personalized learning adapts the content—whether that means upskilling, technological growth, or pain point focus—and communication methods necessary to align with each learner’s needs. This customization allows each user to take a more active role in the learning experience, which in turn increases motivation and improves outcomes.
Learning pathways have been evolving for decades, since the earliest LMS platforms. They’ve gone from self-study-anything-goes to narrower, career-focused learning, to learning on demand, to micro-learning, which can happen anytime, anywhere. But, while the pathways have been changing steadily, this decade marks the first time the content itself has become moldable, adaptable, and fully personalized.
Clearly, AI has the ability to elevate the way we approach personalized learning, offering tools, and techniques to create tailored and adaptive learning experiences. Given that it’s such a recent development, there aren’t a ton of definitive statistics, but here’s a quick peek at some early indications of success.
We already mentioned that AI can motivate learners to engage more by serving ever more relevant content. But how else can AI benefit the learning process?
AI’s inherent ability to deliver personalized, scalable, and engaging learning experiences can significantly improve employee performance and organizational outcomes. However, the limitations for learning leadership also remain high. Those limitations include but are not limited to:
In the End
Incorporating AI in workplace training will provide long-term value to your organization and, because of its effectiveness, could also prove to be a smart strategic move. Opportunities for leadership to create more relevant and inclusive learning environments will evolve with technology. And because this evolution in learning caters to the needs of today’s workforce, it will empower your staff to take control of their own personalized learning path, refine their ability to better do their jobs, and prepare themselves to assume even greater career roles.
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