Personalized and adaptive learning powered by AI
As AI and machine learning (ML) take center stage, the way eLearning content is designed and delivered is changing. Arguably, the most significant example of this is the growing focus on adaptive learning within the workplace. By analyzing vast amounts of learner data, (for example, performance, interactions, and preferences), AI can tailor content in real time to suit the needs of every individual. This level of personalization in terms of learning paths ensures that employees are developing at their own pace. And receiving targeted and timely training that aligns with their roles and career aspirations.
A spotlight on (soft) skills
The truth is, due to developments in AI, some skills are expiring fast. In fact, the ‘half-life’ of skills is now just five years (two for tech professionals), according to Boston Consulting Group MD, Sagar Goel. Which means? One out of three workers today will find their jobs significantly disrupted in this decade because of advancements in technology, and Gen AI.
“What this means is there’s going to be a sudden change in the need for skill building…not just the incremental L&D that we experience with the usual on-the-go training programs.
“Slowly but steadily, some of our skills…are becoming obsolete and redundant…businesses need to reskill or get left behind.” – Boston Consulting Group MD, Sagar Goel. Keep it Simple podcast, episode 19
In the modern workplace, AI is demanding more and controlling more. It’s asking more from employees in terms of AI capabilities. It’s also taking over more in terms of processes and tasks. The result? A sudden and urgent change in the need for skills building, specifically upskilling and reskilling. Put bluntly, employees will need to reskill to understand how AI tools can help them in their jobs. They also need to upskill to find new ways to add value to their role that AI can’t compete with.
The demand for soft or interpersonal skills—like communication, empathy, and adaptability—is also set to rise as AI assumes more of the admin. This is something eLearning will need to address now and moving forward.
Blended learning
Driven by trends like remote work, hybrid setups, and flexible hours, work models will continue to evolve. Blended learning, which combines the convenience of online training with the personal touch of in-person interactions, will gain momentum as organizations seek to balance scalability with human connection.
Continuous learning
The shift towards continuous learning and the importance of adopting a growth mindset will also define the future of eLearning. In a world where skills can quickly become obsolete, organizations and individuals must adopt an attitude that sees the value and importance of lifelong education. For this reason, stackable, bite-sized credentials are set to be a big part of the eLearning future. Equipped with analytics, microlearning modules, and personalized recommendations, eLearning platforms will play a pivotal role in making continuous learning not just a possibility, but a natural part of daily work.
Learning ecosystems
The future of eLearning is about more than just technology—it’s about creating ecosystems that empower employees to grow, innovate, and adapt. By leveraging advancements like AI, embracing the flexibility of blended models, and fostering a culture of lifelong learning, organizations can ensure their workforce is ready to meet the challenges of tomorrow. In this dynamic environment, eLearning isn’t just a tool for education, but a cornerstone of resilience and success in the ever-changing workplace.