GAI Application Method for Course Content and Curriculum System Reconstruction in New Media Marketing Course

New media marketing occupies an important position in enterprise marketing strategies, and has significant effects in enhancing brand awareness, increasing user stickiness, and improving marketing accuracy. New media marketing is a technological means, and the current transmission of this marketing technology in courses is limited by teaching methods. Therefore, this article explores the method of integrating generative artificial intelligence into the curriculum system to address the current situation of low teaching efficiency and rigid and outdated teaching content in new media marketing courses in universities. Firstly, by designing and distributing survey questionnaires to accurately locate the demand for new media marketing courses, and conducting scientific analysis of the survey questionnaires, generative artificial intelligence is used in the teaching form to intelligently assist the process of online and offline blended learning and self-directed learning. In the course evaluation, bibliometric methods and coding system construction are used to suggest a technical solution that combines learning and optimized content generation, enhancing the recognition of the big language model on classroom teaching scenarios and providing positive feedback for the classroom. Finally, through comparison, the effectiveness of the method proposed in this article is verified, providing new directions for the reform of new media marketing courses.