The Evaluation Model of University Education Level Based on Deep Learning Algorithms

Evaluation is an important means to promote the development of college education. At present, scholars have carried out research on college education and have also proposed some evaluation indicators for college education. The purpose of this article is to study the educational level evaluation model based on deep learning algorithms. First, based on deep learning, the AGA-BP model is proposed, which outlines the concept of education level, builds an evaluation index system with output and input resources, and designs corresponding questionnaires to establish a university education level evaluation model based on deep learning algorithms. Taking Province M as an example, this model can provide powerful tool support for the practice of evaluating the educational level. The experimental results show that the lowest scoring higher education efficiency score reached 1.2 in 2018, and higher quality output can be obtained through reasonable adjustment of higher education input. Evaluation practice provides guidance and suggestions for the development of higher education level, and provides decision-making support for higher education.