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AI-backed L&D systems will evaluate employee profiles and collect feedback from their knowledge and preferences to optimize this productivity. As a one-size-fits-all solution does not work for learning and development, these advanced learning frameworks help curate customized development programs.
Fremont, CA: The next generation of L&D is to reinvent how companies handle skills and talent management. With the advancement of artificial intelligence (AI) and machine learning (ML), new learning needs have arisen, and the way we consume information has drastically changed. We now have access to some learning by clicking a button. Smart capabilities derived from embedding AI and ML have permeated our daily lives, whether online shopping or watching a video. Here are three important L&D trends:
Gamification and Experiential Learning
Maintaining a multi-generational workforce is one of the most significant obstacles that companies face today, and they are embracing gamified learning in many ways. Others incorporate partial gamification, using game methods such as qualification badges or rewards, while others integrate their Learning Management Systems to customize learning paths with leaderboards and scores. This smart end-to-end approach motivates workers to increase their skills, but it also instills responsibility for their career and learning paths. The integration of the calculation metric into the method also proves to be an essential tool for quantifying the elusive L&D and ROI objectives.
Technology companies are also building internal technology communities among employees to provide training on emerging technologies such as AI, IoT, ML, data science, DevOps, and mobile. Employees can opt for a range of training courses and webinars offered by domain experts within the group.
Soft Skills Training
Many organizations overlook the importance of equipping their employees, particularly leaders and potential leaders, with necessary but critical soft skills such as communication, teamwork, and critical thinking. When companies become more data literate, vast quantities of employee data are being used to improve learning techniques and training curricula for soft skills growth. L&D leaders should consider learner attitudes and personalities to recognize prospective leaders and speed up their leadership growth by filling the skills gaps needed for the job.
Anytime, Anywhere Learning Model
As on-demand learning becomes mainstream, most technology companies use micro-learning for successful training. This effective delivery of learning effectively breaks down information as bite-sized learning modules for better long-term retention of skills and knowledge. This approach is useful for developing advanced technology skills, such as data science or DevOps, as concepts become easier to understand when workers can follow the momentum of a computer of their choosing.