Learning Quality Analysis System for the Second Degree Education Based On K-means Algorithm

Based on K-means algorithm and elbow method, this paper constructs a second-degree learning quality analysis system, and uses the data of students with a second-degree in Software Engineering to analyze and explore the potential relationship between course nature, gender, major, major college, and usual performance and achievement. Results show that the course of provincial unified examination, boy, major with a large gap with the second degree major, and poor usual performance are easy to lead to poor learning effect, and corresponding suggestions are put forward for the enrollment, management and teaching of the second degree, which can be used as a reference for other majors and sister colleges.