The concept of “Personalized” learning has become a hot topic with learning and development (L&D) professionals. Every learning software vendor is attempting to show that they provide a personalized experience for learners. Why? One key reason is that personalization has become an expectation because it is pervasive in the tools we use every day outside of work, from social media to entertainment to productivity applications. In that sense, our work lives are just trying to keep up to make learning more inviting. But the impact of personalization is not just a nice-to-have. As 93% of respondents to Brandon Hall Group’s 2021 State of Learning Practices study said, personalized learning improves organizational and individual performance. The link to improved performance is the real value that L&D leaders are seeking from personalized learning.
L&D teams seeking performance gains must remain wary, however, because all personalized learning is not created equal. For example, personalizing the user interface of the Learning Management System so the colors and layout appear just how each user likes it can make using the system more enjoyable. But when the actual learning content remains one-size-fits-all, no one is fooled. And while personalizing the suggestions of what courses a learner should take goes a bit further, this Netflix approach still fails to tailor the experience to improve how actual learning occurs.
Most people have a sense of what truly personalized learning looks and feels like, but most do not know where to start to deliver a level of personalization that is more effective and elevates performance. The biggest challenge becomes how to personalize at scale without simply throwing people at the problem and doubling or tripling your content-developer staff in the process. The answer to the personalization-at-scale challenge is to enhance your team’s capabilities by bringing an AI-powered adaptive learning solution into your learning ecosystem.
Adaptive learning starts with a new way of constructing training by focusing first on the specific knowledge and skills you need to develop in your learners. This knowledge map is then linked to bite-sized and measurable learning resources, ensuring the content remains focused on the learning goals. The result is an improved learning design that an AI-powered adaptive learning engine can use to continuously personalize the experience for each learner. The benefits include improving learning efficiency, speed, achievement, learner engagement, trainer and coaching efficiency and effectiveness, and job performance.
Adaptive learning delivers a more advanced approach to eLearning and directed learning beyond what an LMS or an LXP can provide. This includes a personalized, AI-powered eLearning experience that delivers precisely what each learner needs to know just when they need to know it.
An intelligent adaptive learning system also increases confidence for learners, trainers, and managers because the system introduces new levels of precision that allows stakeholders to reliably know exactly what learners know and do not know at a point in time.
What are the major ways an adaptive learning system makes a business impact? Here are eleven benefits to consider:
To achieve alignment with business goals and drive performance, your next move should be to bring personalization into your learning ecosystem by deploying an intelligent adaptive learning solution. The right adaptive solution will work as a catalyst with your LMS and LXP to deliver deeply personalized learning that is much more efficient and effective than the dreaded one-size-fits-all approach. With adaptive learning, L&D leaders can truly offer a continuous, integrated, life-long learning solution that works for all, and spans all needs and moments of learning.
To read more about the eleven benefits of adaptive learning, download our eBook, Adaptive Learning – The Key to Personalization in the Workplace. Here you will find more detail about the improvements adaptive learning can bring to use in building your business case for truly personalized learning.