Analysis of the Teaching Mode Based on the Integration and Mutual Promotion of Cultural and Creative Professional Construction and Curriculum Civics in the Context of Deep Learning

Abstract

Abstract In this paper, an intelligent fusion teaching system is constructed in the context of deep learning. Firstly, a convolutional neural network is utilized to extract multi-level knowledge point features, and a nonlinear function is combined to accelerate the fusion of knowledge point features. Then, semantic features are integrated into keyword extraction, and the SKE algorithm calculates the semantic contribution value of words, and word centering density, and the words are matched according to the keyness. Finally, multiple regression analysis is used for the dynamic mining of online learning behavior data to get the frequent dynamic metric distribution set of the data so as to realize intelligent recommendations. The results show that 75% of the students believe that the integration of curriculum Civics in the cultural and creative majors can enhance the values and is conducive to the integration and development of Civics education and the construction of cultural and creative majors.