Machine Learning Tailors Training to the Student

Most training and learning systems today follow the same basic model developed a century and a half ago when the British pioneered industrial-scale education to produce a literate working class. With one teacher and a large group of students, instructors must focus on the ones in the middle. While the weakest in the class may drop out, the most talented are slowed down and forced to be average. Machine learning could change all that. Training systems today can capture individual performance characteristics and, with the help of data analytics, identify strengths and weaknesses so training can be tailored on the fly to match the specific needs and requirements of each individual student.