Study on Cognitive load variations for Cognitive computing architecture design

Cognitive computing is focused on supercomputing, nanotechnology, and cognitive science . It is mainly focused to simulate the brain functionality in to a process able mechanism with chips. The learning process is one among the challenge in the brain cognitive architecture and its cognition. The modern technology is providing a smart environment for learners to enhance their performance and gain the knowledge . The knowledge acquisition process efficiency is based on content and cognitive process of the learner . The cognitive process influenced with long term, short term, working, instant, responsive, process, recollect, reference, instruction and action memory. While processing the such a activities the cognitive load such as mental, physical, temporal, performance, effort and frustration. This study observe the cognitive load variation using NASA scaling for computer science students while they are performing different learning activities. The research work is an attempt to model the determination of influencing attributes and the attributes, which affected for the learning. The result shows the influencing cognitive load and recommendations to map the Cognitive load and the memory process to design cognitive architecture .