Your employees completed their cybersecurity training. But will they still recognise a suspicious request three months from now, and remember what to do?
Browse fresh analysis, customer stories, and best practices to keep your teams audit-ready.
AI. AI. AI. Everything is AI these days, especially the generative kind. And that’s good because we encourage innovative developments. However, it’s important to talk about didactic AI as well. While generative AI helps you with information, it doesn’t necessarily facilitate better and more effective learning. Didactic AI does. In this article, we explain what it is, why it is useful, and how you can benefit from it.
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.
Adaptive learning is a term used a lot, but its actual application varies enormously. As the word suggests, ‘adaptivity’ is all about adapting. When it comes to learning, adaptivity means adjusting to the learner. You can adjust the level, pace, content, and medium of learning. While adaptive learning is often focused on catering to learners who struggle, it is also smart to adapt a learning process to learners who are finding it very easy.
Did the recurrent exam give you the chills? And more importantly, are your cabin crews still stressing themselves out over this? Can we make this easier?
Memory traces are strengthened when making an effort to retrieve information. This is whyassessment-based learning– learning by answering questions, evaluating dilemmas, solving problems, and reviewing cases – is so effective. Its success is easy to explain using the ‘Testing Effect’.
The well-known 80% claim is not a fixed law, but it does point to a real problem: the forgetting curve means much of what people learn fades quickly if they do not retrieve or apply it. Here is what the evidence says and what you can do about it.
