Abstract: As the core driving force of a new round of technological revolution, artificial intelligence (AI) is profoundly reshaping educational forms and teaching models. Its application in digital course teaching not only enhances teaching efficiency but also provides technical support for personalized learning and intelligent assessment. Taking the integrated journalism course as an example, this article addresses issues such as the lack of content dynamism, weak intelligent interaction in learning environments, insufficient layered design of assessments, and inadequate feedback optimization. The paper proposes a digital teaching reform of the course from four aspects: dynamic content generation and precise push, intelligent interaction in teaching scenarios and innovative applications, layered design of the evaluation system and real-time feedback, and collaborative optimization and continuous improvement of teaching evaluations. The aim is to provide new ideas and practical references for the training of journalism and communication talents in the new era.

Key words: Artificial intelligence, Digital course teaching, Teaching evaluation, Personalized learning, Teaching strategies, Digital transformation in education