Intelligent deep learning model for recommending ideological and political music education resources.

ABSTRACT: In the context of the digital transformation of ideological and political education (IPE) in the new era, this study explores the interdisciplinary integration of red music and intelligent recommendation technologies. An intelligent deep learning model is developed to recommend IPE resources enhanced with red music, addressing challenges such as the low precision of traditional IPE resource delivery and limited emotional engagement. The model employs multimodal feature extraction techniques to fuse the emotional content of red music-captured via short-time Fourier transform and time-frequency attention mechanisms-with lyrical semantics. Learner profiles are constructed using dynamic cognitive diagnosis combined with Transformer-based temporal sequence modeling. Based on these profiles, pre

SUBMITTER: Zhang L 

PROVIDER: S-EPMC12534570 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature