Cognitive robots in efficient education address the current teaching climate which has changed compared to the last decade of traditional teaching with teachers mostly relying on chalk and board in the workforce. At this stage, the trend in education will change to be very beneficial for many upcoming generations. Thus, a solution to the features of the current education system will be suggested in this research paper as an artificial social cognitive robot, solely for the new student’s future enhancement learning experience. The robot suggested in this research paper, is a cognitive robot which uses a number of techniques in a unified architecture where each technique is good, and a combination of all approaches is the best or most robust solution. Next, in part for the purpose of actual implementation and then verification of the suggested idea, a functional area “the Electric Motor Concepts” will be used for the development of a cognitive artificial robot using natural language to help teachers in their educational teaching of fundamental Electric Motor Concepts. The suggested cognitive robot has the following capabilities; Natural Language Processing (NLP), experiential knowledge base, confidence value system, recommendation system, and Cognitive Computing approaches.