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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.

BBVA Microfinance Foundation chooses Drillster to keep critical competencies top of mind

Customer stories

The philanthropic financial institutionBBVA Microfinance Foundation(BBVAMF), has selected Drillster, an adaptive microlearning application, to ensure critical competencies remain at the forefront of their employees’ minds. By using the app, BBVAMF enables their people to develop knowledge, awareness, and skills, while retaining these newly acquired skills in the long term. This met the need to create an innovative and future-proof learning program for their organization.

Event: Performance Journey Goes Dutch 2024

Events

Performance Journey Goes Dutch is back! This event—hosted by our partner Xprtise—is packed with inspiration, fresh insights, and networking opportunities. The keynote line-up features David James (host of ‘The Learning & Development Podcast’) alongside experts Bob Mosher, Donald Clark, Pieter van den Hoogenband, and Katelijn Nijsmans. Join us on 5 and 6 June 2024 at the remarkable venue De Heerlickheijd van Ermelo. Drillster will be present with a booth and two co-hosted sessions with railAlert.

Adaptive learning: push or pull?

Learning science

Adaptive learning, a method where learning content is personalized for the learner, is often associated with ‘directed learning’ or ‘push learning’. People believe that the development, anchoring, and retention of crucial competencies in an adaptive way leaves little room for a learner to choose whether to engage with the proposed learning object. However, adaptive learning can also be used for ‘pull learning’ or ‘self-directed learning’. Let’s dive a little deeper into the applicability of adaptive learning in both push and pull learning scenarios.