Construction of a "Six-Dimensional Intelligent" Teaching System for Marketing Driven by Multimodal Digital Intelligence

Abstract

Multimodal digital intelligence-driven technologies are reshaping the teaching form of marketing. This study constructs a "Six-Dimensional Intelligent" teaching system, which takes the multimodal large model as the core and integrates multi-source data such as text and images to realize the visual representation and interactive transmission of marketing knowledge. At the theoretical level, it proposes the multimodal representation logic, the six-dimensional framework structural correlations, and the technology-capability-value triple-cycle mechanism; at the design level, it forms the dual-track support of multi-platform and content restructuring, the collaborative operation of multi-scenario and multi-evaluation, and the dynamic integration of technical tools and value guidance; at the operational level, it establishes data-driven feedback regulation, transdisciplinary content updating, and system self-regulation methods. By leveraging generative AI, virtual simulation, and an AI dynamic evaluation system, this system lowers the threshold for conceptual understanding, shortens the time lag between curriculum and market technology, and provides personalized paths for capability growth.