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.
Nowadays, people – and society in general – live against the clock, between work, appointments, household chores, taking care of children, spending time with family and, last but not least, finding time for oneself. Therefore, it's obvious that the last thing one wants to do is attend a classroom training, read an endless manual, or watch an e-learning module for 3 hours. But then how is it possible to learn and retain all the information needed to do our job correctly, without having to spend a huge amount of time on it? One of the solutions is microlearning: small pills of information concentrated on a single subject, which are revised over a short period of time. Thanks to the brevity of the exercises, learning is more effective and employees engage more in their own learning. In terms of results, Drillster offers learning that is at least 40% faster and at least 10% more effective.
In most professions, the human factor is an essential part of the work. Although machines are becoming more and more important, almost everything depends on the qualities of the people who make up an organization. Because of this, it is important to ensure that qualified employees know how to perform their tasks at all times and minimize risk to a minimum. The “drills” consist of a series of questions containing only the crucial information that the user must know. This avoids overloading the brain's cognitive capacities and helps the user to better anchor the important concepts: users achieve a better level of knowledge on what they really need to know!
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Although this is important, mastering concepts and skills at a given moment is not enough. In addition to achieving a high level of knowledge, it is very important to maintain it. To retain this knowledge, a series of evaluation techniques are applied to stimulate the brain and develop active learning. Employees learn actively by answering questions on real cases and reading the feedback focused on the correct answer they receive immediately after answering. As a result, concepts are much better anchored and memorized.
Furthermore, not only is knowledge memorized correctly, but users know how to apply what they learn and how to translate concepts into practice. Thanks to the dilemmas and use cases that you can add, employees can project themselves into what they are studying. Later, when they find themselves in the same situation they have learned, they will know exactly what to do. The key is to learn, remember and apply! And that's not all. Drillster has also developed location-based learning: this allows transmitting or testing the level of knowledge exactly where someone needs it to do their work. This ensures they have the right knowledge to do their job, as well as increased learning, because they can immediately put into practice what they have just learned.
How many times have you studied something, and after a week, realized that you had almost forgotten everything? It's something very frustrating that happens to everyone, all the time. The problem is that when you learn something passively and punctually, you feel like you master a subject, whereas in reality you only recognize its concepts. You may have passed the exam very well, but if you don't review the concepts afterwards, you will end up forgetting everything you have learned.
But don't worry, because all that is in the past! Drillster predicts the learning curve of each user. This means that it calculates when and how knowledge will decrease if it is not updated, and informs users that they need to review the concepts in time. As a result, skills remain at the right level throughout the year and employees know how to do their work at all times.
Finally, implementing Drillster is a very simple process. It can be added to your existing ecosystem by integrating it with your current LMS. In addition, training modules can be edited at any time and without additional costs. This means that as soon as information is updated, or new learning material is available, it is possible to add items (or remove obsolete items) instantly, without having to wait for the next exam. In this way, courses are permanently kept up to date and employees are aware of any changes. As a result, good skills and practices are ensured. In addition, this avoids unnecessary risks and ensures permanent compliance with regulations.
Sometimes, studying is a necessary evil. That's why our goal is to make training as easy and comfortable as possible by creating active, fast and dynamic learning that increases user engagement. Our methodology brings out the best in each person in the shortest possible time. In this way, everyone wins!
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