"We need to bring learning to people instead of people to learning."
— Elliott Masie, Masie Center
One-on-One training is a methodology where training needs of each and every trainee is addressed in highly personalized manner. Traditionally One-on-One training is imparted using human trainers. However it has following disadvantages:
To provide scalable One-on-One training we developed an Engine called DynaMind. It uses Artificial Intelligence to mimic the way human mind works. Computing ability of a computer provides scalability to DynaMind.
Our goal has been to capture the impressive increase in learning -- an average of 2 sigma in the studies by Bloom (1984) -- that tends to result from One-on-One training as compared to group instruction. The much quoted "2-sigma effect" of having an individual trainer meant that the average trainee who had been trained performed better than 98% of the students who had been taught in the classroom. In comparing the effect of One-on-One training with the effect of a number of other variables and treatments, Bloom found that none of the others produced an effect as large as 2 sigma.
One-on-One training has the following components:
