Early Childhood Educator Assistant with Brain Computer Interface

摘要

Education is the most important investment in the modern and complex industrial country. Currently, there are numerous methods to track and grasp how well a child is able to concentrate during lessons. However till date, there are still very limited studies in implementing adaptive self-learning techniques to suit the needs and preferences of each child for better learning experiences. Early Childhood Educator Assistant with Brain Computer Interface (BCI) is an interactive self-learning system capable of monitoring the learning capabilities of children and providing feedback by using visual optimization such as short video clip playback if the concentration of the child drops. An adaptive self-learning system able to change the learning content difficulty based on scores of children towards the lesson. The Emotiv neuroheadgear will detect EEG signals emitted from the scalp then be further processed to determine the state of mind and engagement levels of the child so that feedback can be sent based on the varying conditions. This system has been tried and tested with a group of children between the ages of 4 to 6 years old and shows an improvement in the engagement levels.