The Learning Blog

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There are few industries where technical innovation and development are as exciting and fast-moving as the automotive industry. That means, however, that everyone who touches a vehicle, from technicians and engineers to those working the sales floor, needs to be ahead of the curve so they can act quickly when implementing new systems or tech
Investing in a digital training programme to address skill gaps is one of the most important decisions a company leader can make. But how can learning and development (L&D) managers effectively prove that investing time and resources in employee training and development was worthwhile? Or, that the training was effective in pushing their workforce forward? 
We’ve written about adaptive learning as an AI-powered training solution and how it creates personal learning journeys based on a learner’s performance and responses. This technology is truly a turning point in the evolution of digital training — but what comes next?  Researchers believe that with advancements in AI and large language models, interactions with computers will become
One of the biggest challenges in corporate training and development is the rapid pace of technological advancement. Even modern training programs become outdated quickly, and traditional learning distribution solutions often cannot meet mounting reskilling needs — especially for hard-to-reach learners. This can make it challenging for learning and development (L&D) professionals to quantify training effectiveness
Across industries, employees are suddenly faced with a deluge of workplace software applications and SaaS platforms that promise to make them more productive and deliver better value to their businesses and customers. However, adopting and implementing these workplace apps depends largely on employees’ ability to quickly master them.  One way HR and learning and development

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