Teaching Path generation model based on machine learning

In the field of online learning, lots of researches focused on how to provide students with adaptive learning support and Learning Path (a sequence of learning materials) is one of the keystone in this research direction. However, most of learning happened in the classroom with the instruction of teacher, and these kind of teaching activities actually occur in the most primary and secondary schools, even in university. We know that the teaching plan is a set of designed teaching material sequences which are prepared by teachers when they prepare lessons before delivering courses. We call theses teaching sequences Teaching Path(TP), it is very significant to study the Teaching Path planning and provide adaptive teaching for different classes. We propose a Teaching Path Generation(TPG) Model based on machine learning algorithms to help teachers plan the optimal Teaching Path for different classes to improve the teaching effect of teachers. We use the genetic algorithm(GA) to generate the Teaching Path, and the experimental results achieve our expected goal, which shows that our method is feasible.