A Study on the Construction of an Intelligent Broadcasting Teaching System Integrating a Cross-Cultural Perspective

Abstract

In the context of the deep integration of global communication and artificial intelligence, broadcasting pedagogy must shift towards cultivating cross-cultural intelligent communication competencies. This study aims to construct an intelligent broadcasting teaching system that integrates a cross-cultural perspective. By elucidating the evolution of intelligent technology from a tool of assistance to one of cognitive collaboration, and by reconstructing the pedagogical connotations through cross-cultural theory, the research proposes a pathway for transforming towards a human-machine collaborative paradigm. Furthermore, the study focuses on deconstructing cultural dimensions and achieving their parametric mapping onto intelligent speech features, constructing an adaptive training model based on dynamic context modeling and closed-loop feedback, and establishing teaching interaction principles oriented towards cross-cultural understanding. Ultimately, it designs a system architecture encompassing intelligent knowledge integration, multimodal context simulation and feedback system integration, as well as iterative evaluation based on multidimensional data, thereby providing a systematic framework for the intelligent and globalized transformation of broadcasting education.