The new generation of artificial intelligence accelerates the digital transformation of education and offers new support for the reform of ideological and political courses in universities. Traditional ideological and political classrooms suffer from drawbacks including rigid content

monotonous forms

lagging evaluation and inadequate personalized education

which fail to fit the cognitive characteristics of contemporary youth. By relying on learning condition analysis

scenario construction

resource recommendation and process-oriented evaluation

artificial intelligence helps realize targeted education in ideological and political teaching. Against the backdrop of educational digitalization

this paper elaborates on the practical value of technological application

and analyzes real dilemmas such as cognitive bias

technical risks

insufficient teacher capacity and institutional loopholes. A human-machine collaborative classroom system is constructed from five dimensions including concept renewal

platform development

process reconstruction

teacher training and ethical risk prevention

so as to deliver practical strategies for the digital reform of ideological and political education.