In recent years, with the rapid development of artificial intelligence technology, combining it with western economics course civics provides new possibilities for improving students’ comprehensive quality. In this study, we realized learner profiling and personalized teaching resources recommendation by designing a smart teaching platform, combining convolutional neural network and deep learning algorithms. The experimental results show that the experimental class utilizing the smart teaching platform performs significantly better than the control class in the final exam, especially in the freshman and junior grades, where the difference reaches a significant level (p-value of 0.018 and 0.042, respectively). By comparing the midterm and final grades, it was found that the students in the experimental class not only improved their academic performance, but also gained enhancement in their knowledge of ideological and political education. The application of this platform effectively promotes the organic integration of western economics courses and ideological and political education, and provides a new solution for improving the quality of talent cultivation in applied colleges and universities.
