In the world of structured on-the-job training, the emphasis is on how learning is applied not just in work-based scenarios, but also in the very real context of the specific duties of the learner’s job.
On-the-job training gives learners the convenience of hands-on learning at their own pace within their workday. It gives learners the autonomy over their learning and development, reframing training as a tailored experience for their own learning journey.
Learning technologies powered by artificial intelligence (AI) can help deliver on-the-job training to manufacturing employees.
Let’s explore some strategies learning and development (L&D) teams can use to maximize knowledge acquisition, practice and application to bridge that gap.
Of all the workflow-embedded learning opportunities, experience-based development offers an important and distinctive benefit: Real-time contribution.
Our organizations are in desperate need of training options that empower learners to gain knowledge and skills without having to gather in a classroom.
Many workplaces are practicing an informal approach to on-the-job training. Formalizing this process provides a means of measuring its efficacy.
A sound leadership training strategy can be the difference between lackluster courses with disappointing results and improved job performance that drives organizational success.