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Scenario-based learning for compliance training: examples that test judgement

Scenario-based learning turns compliance policy into decision practice through realistic cases, plausible choices, and feedback that explains the decisive cue.

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Browse fresh analysis, customer stories, and best practices to keep your teams audit-ready.

The Benefits of Drillster's Adaptive Learning for Your Business

Learning science

Adaptive learning is a method that adapts to each employee's level of knowledge and experience, adjusting to their learning speed. In this sense, Drillster is an adaptive learning methodology that uses Artificial Intelligence, Big Data, and an intelligent algorithm to collect and analyze data, and assess each user's needs. The application then adjusts learning to these needs. In this way, employees are able to develop, maintain, and retain knowledge and skills in the long term, quickly and at low cost.

The learning trends of 2022

Learning science

On May 9-11, the Performance Journey goes Dutch event was held. Normally, the Performance Journey is the annualXprtise-organized trip to Orlando, Florida, the home of the Learning [2022] event. This annual journey sees a varied group of around 60 L&D professionals travel to the U.S. to attend sessions, dine together, and take the opportunity to go on a few working visits as well, so as to further enrich the trip with inspiration, new contacts, and interesting stories from others in their field.

The positive effects of positive feedback

Learning science

Now we’re going to talk about feedback. Not the feedback you get from your manager or director at the end of the year, but the feedback that is used in (corporate) learning to give information to the student after completing exercises or courses. What was good? What was wrong? And why? It isn’t exactly rocket science, but there’s definitely science behind it. And that knowledge is important to ensure that people learn as effectively and efficiently as possible. In this blog we discuss learning goals, important differences between direct and indirect feedback, and the usefulness of positive feedback.