Research on the Construction and Application of Risk Prediction Model for University Management Students with Learning Difficulties Based on Machine Learning

Abstract

The state has proposed to promote educational equity and the all-round development of students, but the existence of "students with learning difficulties" is contrary to the requirements of all-round development. The construction of a risk prediction model for students with learning difficulties is a teaching mode that can help students identify learning difficulties in advance, stimulate their interest in learning, reduce cognitive load, improve learning efficiency, and cultivate students' abilities and core literacy. This paper takes strengthening the education of the management major in universities as the core, and aims to promote educational equity and facilitate the all-round development of "students with learning difficulties". It proposes the construction and application research of a risk prediction model for students with learning difficulties in university management majors based on machine learning. In response to the problem of slow convergence speed in traditional machine learning This paper proposes an analysis model for the causes of learning difficulties among college management students based on the conjugate gradient method in machine learning, in order to predict the formation reasons of the difficulties of college management students. The factor quantification adopts the fuzzy comprehensive evaluation method. The experimental simulation results show that the system model shortens the training time, and the error between the predicted value and the actual value is zero. This model can be applied to the learning difficulties of English in higher vocational colleges Analysis and prediction of causes.