Neuro adaptive content boost learning
boost learning
There are many processes involved in creating long-term memory. We have isolated the most pertinent of them to adapt content creation for memorizing new knowledge more easily and much faster.
The core of enhanced learning.
Our approach is based on three components which together bring about a change in the education paradigm.
and learning patterns
Focus, engagement, and interest have strong influences on efficient learning and memorization. These cognitive processes can be monitored by EEG. We isolated the patterns of these cognitive processes and created algorithms to predict levels of optimal memorization.
content
Our algorithms are able to recognize when you remember information that you like - which enhances focus. They recognize what you have memorized more efficiently, when you have to repeat newly acquired knowledge, when you need to switch to another task or to finish your current one. Based on this, we can create optimal content to enhance the learning process and make it more efficient and faster by 2.3x times on average.
There are many processes involved in creating long-term memory. We have isolated the most pertinent of them to adapt content creation for memorizing new knowledge more easily and much faster.
Use your Neone for many goals not only for learning.
89 %
89% average accuracy of long-term memory determination for content creation
2.3 x
Our algorithms detect which content you are able to memorize 2.3 times better on average
73 %
73% average accuracy of working memory determination for content creation
We are focused on developing a deep AI machine to improve our enhanced learning algorithms.
Our aims are:
