Neuroscience Engineering Education Using Self-learning by Mind-controlled LEGO Robots

Unlike for physical health, individuals generally lack insight into their own cognitive condition. This blind spot, in addition to the stigma of seeking early help, results in many disorders related to neuroscience going untreated. Although many brain regions have been shown to play a role in cognitive processes, a comprehensive formalization of each region’s contribution to cognition is still lacking. This paper, for the first time, envisions using a cognition-controlled programmable LEGO robot that will generate insights into the science of mental state of an individual through self-study and -learning approach as neuroscience and robotics are STEM fields of study. This self-study idea is unique to recent research in neuroscience and robotics for STEM education. The STEM areas involved are (a) computer, neuro, and data sciences, (b) fabrication, embedded system integration and sensor technologies, (c) electrical, mechanical, computer, and neural engineering, and (d), functions, density functions, and algorithms math. Algorithms based on EEG (Electroencephalogram) data coming from different parts of brain collected using fabric-embedded micro systems technology – such as in a cap or a shirt collar – help quantify neural activity for STEM education.