Research on Multiple Intelligence Teaching Mode of Digital Media Technology Major Driven by AI Big Model

Xiaoying Liu
Chongqing Electronic Information College, China.

Abstract:

A big model-driven teaching mode integrating language generation and image generation abilities is constructed for the cultivation needs of multiple intelligences in digital media technology majors. The model is based on GPT-4 and Stabl e Diffusion framework, and realizes intelligent matching and process guidance of teaching content through ability portrait modeling, personalized task pushing and interactive feedback mechanism. The experimental results show that the average grade improvement rate of students in the experimental group is 21.0%, and the task completion rate reaches 98.2%, which is significantly better than that of the control group (10.3% and 85.6%), and there is also a significant difference between the creative output and the intelligence development scores, which verifies the comprehensive advantages of this model in terms of cognitive efficiency and multiple intelligences enhancement.