Integration of deep learning and vocational college education evaluation index system model construction

Deep learning is becoming a powerful “hand” to promote the development of future education. This paper constructs an evaluation model that integrates deep learning, in order to provide a reference for the application of deep learning in education. The evaluation indexes for vocational college education are constructed by integrating deep learning features, and the ANP-CRITIC combination assignment method is applied to assign weights to the indexes. The education evaluation model for vocational colleges and universities is being constructed based on a cloud model. The education evaluation is divided into four standard levels and the standard cloud is determined. The indicator cloud is obtained by determining the evaluation cloud for the indicator. Finally, the comprehensive cloud map is compared with the standard cloud map to determine the education evaluation grade of colleges and universities. After the experiment to determine the evaluation grade of each index of the sample vocational college education, the comprehensive evaluation grade of education in school A is “poor”, and the evaluation result is in line with the actual situation, and this paper puts forward targeted suggestions to strengthen the construction of specialized teaching team and create a good teaching environment for the subsequent vocational colleges and universities’ education evaluation management. It provides effective reference and guidance for managing education assessment in subsequent vocational colleges and universities.