Basic Principles for AI-Driven Innovation in College Ideological and Political Education Teaching Models
The basic principles of artificial intelligence-driven innovation of ideological and political education(IPE)teaching models in colleges and universities are the guidelines and to be followed and the fundamental requirements to be met during the process of AI empowerment These principles are a scientific condensation and summary of the practical experience of ideological and political teaching in colleges and universities.The innovation in IPE teaching models driven by AI should proceed in an orderly manner based on the fol-lowing fundamental principles:the unification of ideological and scientific aspects,the unification of disciplinary and holistic aspects,the unification of uniformity and diversity,the unification of dominance and subjectivity,the unification of relevance and effectiveness,the unification of initiative and regularity,and the unification of openness and sharing.To advance AI-driven innovation in IPE teach-ing models,it is necessary to strengthen the standardized management of AI applications,build a team of IPE teachers,develop AI-based teaching standards,curricula,and textbook systems,and pursue multiple pathways.
artificial intelligenceideological and political education course in institutions of higher learningteaching modelsbasic principle
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