Human learning system is highly sensitive to responsive system according the processing, mapping, motion, auditory and visualization system. Special education system is implemented to overcome the demanded sense of the human special care sensitive signals. This responsive system is balanced and effectively instrumented with modern technological learning pedagogy to bring the special need learners into the normal learning system. In the learning process, cognitive human sensors directly influence the learning effectiveness. This paper attempted to observe the cognitive load such as mental , physical , temporal ,performance , effort and frustration in the long term , short term, working , instant , responsive, process, recollect , reference , instruction and action memory and classify the observed values as per the generalized and specialized properties. The six working loads are observed in the ten types of learning system. The classification analysis aimed to predicate the pattern for learning system for specific learning challenges.