1. A sensor system comprising: a sensor input to couple to an electroencephalograph sensor to detect a neuro-physiological state of a student; a configurator input to receive information regarding training objective functions and to modify control algorithms and system parameters in accordance with a selected training objective function; and a controller coupled to the sensor input to implement the control algorithms and provide a communication if the student is outside a desired neuro-physiological state consistent with a desired learning zone and to provide a lesson intensity control signal as a function of the provided communication, sensed neuro-physiological state and selected training objective function; a converter to convert the sensed neuro-physiological state of the student to cognitive parameters that are representative of cognitive workload, level of engagement, and alertness and wherein the lesson intensity is regulated using proportional integral control as a function of workload calculated from the sensed neuro-physiological state; wherein the controller calculates the cognitive workload as a function of the amplitudes of the electroencephalograph signal at multiple electroencephalograph signal frequencies; and wherein the electroencephalograph signal frequencies include: Î± corresponding to a range 8-12 Hz, Î² corresponding to a range of 12-30 Hz, Î³ corresponding to a range of 30-100 Hz, Î¸ corresponding to a range of 4-7 Hz and Î´ corresponding to a range 0-4 Hz, and wherein the controller is configured to calculate workload, W(t), at time, t, according to the following formula: W â¡ ( t - n ) = k 1 â¢ Î± â¡ ( t - n ) + k 2 â¢ Î² â¡ ( t - n ) + k 3 â¢ Î³ â¡ ( t - n ) + k 4 â¢ Î¸ â¡ ( t - n ) + k 4 â¢ Î´ â¡ ( t - n ) + k 5 â¢ Î± â¡ ( t - n ) Î¸ â¡ ( t - n ) + k 6 â¢ Î³ â¡ ( t - n ) Î± â¡ ( t ) , n = 0 , 1 , 2 , â€¦ â¢ â¢ m â¢ W â¡ ( t ) = âˆ‘ i = 0 m â¢ r i â¢ W â¡ ( t - i ) where k i are conversion coefficients for different frequencies Î±(t), Î²(t), Î³(t), Î¸(t), Î´(t) and r i are coefficients.