Construction of Basic Education Informatization Evaluation Model Based on Deep Neural Network

The transformation of basic education informatization from construction to evaluation, and from level evaluation to benefit evaluation is a new trend in the development of educational informatization in my country. Due to the large differences in the level of educational informatization in different regions, the evaluation of educational informatization benefits presents diversified characteristics. The evaluation of school education informatization is a problem that school principals who implement informatization teaching and management need to actively deal with certain informatization conditions. In this paper, deep neural network is used for statistical analysis of a large amount of data, and through feature extraction in the original data, the accurate output is found from the original data. Using information technology, the big data generated by the user's learning behavior is analyzed by the machine, and the key and effective features are retained, so as to generate a complete and accurate basic education information evaluation. Through the research of this paper, it is concluded that the effect of educational informatization is the achievement of goals in the process of educational informatization construction and application, and it is observable, quantifiable, and explicit educational informatization performance.