What is Brainpower?
In the online academy, there is a training tool that allows users to train their knowledge in a clever way: Brainpower. Brainpower is based on Ebbinghaus’ forgetting curve and repetition learning. By training on an interval basis with learning objectives, you ensure that knowledge enters the user's long-term memory and doesn't fade away.
Several concepts form the basis of Brainpower. Below, we highlight these concepts and explain how they relate to each other.
Learning objectives
In Brainpower, you train with learning objectives. Based on these learning objectives, your knowledge acquisition and knowledge level are measured.
Knowledge acquisition
This measures how many of the learning objectives you have demonstrated to know. If you correctly answer two questions in a row within a learning objective, you demonstrate that you have understood the learning objective at ‘some point’. The number associated with knowledge acquisition never decreases.
Knowledge level
Because knowledge tends to diminish over time (the forgetting curve), it is important to train your knowledge. The knowledge level measures knowledge in your long-term memory. The more you train in Brainpower and perform well on learning objectives, the higher your knowledge level becomes. Are you not training for a while? Then, your knowledge level will decrease again.
How do I create a Brainpower collection?
To use Brainpower, you need learning objectives with associated questions. You can compile these in a collection. Read how to create a collection, here.
How does Brainpower work?
By training with Brainpower, you, as a user, work towards a high score in knowledge acquisition and knowledge level for each learning objective. Brainpower assists you in this process.
In a new training, Brainpower presents one question per learning objective.
Did you answer a question correctly? Then, the knowledge acquisition and knowledge level for that learning objective increases.
Did you answer a question incorrectly? Then, Brainpower will present another question from that learning objective in the next training.
By default, each training consists of 10 questions, but users can increase or decrease the number of questions themselves.
Over time, the scores on learning objectives decrease (knowledge level decreases). Brainpower reintroduces the learning objectives with the lowest scores once you start training again.
How are learning objectives trained?
Brainpower has an overarching focus on learning objectives. Did you encounter learning objectives in a (new) collection before, in another training or collection? Then, the results are taken into account in the current collection. You train the learning objectives across all collections and learning activities.
Brainpower as an exam trainer
It is possible to set a deadline for Brainpower. In this case, the tool operates slightly differently: Brainpower aims for a 70% knowledge level across all learning objectives in the collection before the deadline.
In this scenario, Brainpower will present the number of questions necessary to train all learning objectives in the collection before the deadline. This means that a user may be presented with (much) more than 10 questions.
It is up to the user to ensure that they complete enough training sessions in Brainpower on time, to achieve the desired knowledge level.
How do I get started as a user in Brainpower and how can I track my progress?
Read how to get started and how to track your progress in Brainpower, here.