Assessing Levels of Learning

About

E-Learning has become an important component in the delivery of education courses. Developers seek real time review and validation of course materials to structure them to the greatest advantage for the student. This real-time feedback is critical to the success of these courses. This technology is an assistive analytical approach for predicting levels of learning in real time. The approach is based on the temporal analysis of eye response and the stimulus that is causing the response. Eye response variations to the same concept over time are indicative of levels of learning. Additionally, neural signals, pupillary response, facial expression and various other human biological signals are also evaluated as “Levels of Learning” indicators by this technology.