Practical Logic, Practical Dilemmas and Optimization Strategies of Artificial Intelligence Empowering Precise Ideological and Political Education in Universities

Abstract

With the rapid development of artificial intelligence, big data, algorithm recommendation, intelligent portrait and other technologies, ideological and political education in colleges and universities is gradually moving from traditional experience-driven to data-driven, intelligent assistance and precise education. Artificial intelligence empowers colleges and universities to accurately think and politics. It is not simply embedding technology in ideological and political classrooms, nor replacing ideological guidance with platform construction. Instead, on the basis of adhering to the fundamental task of cultivating morality, it improves ideological and political education through data collection, academic analysis, resource push, process evaluation and feedback optimisation. Targeted, timely and effective, it provides a new path for the implementation of the fundamental task of cultivating morality. However, in practice, there are still problems such as deviation risk between algorithm technology and value guidance, disconnection between platform construction and practical application, and incompation between teachers' digital literacy and intelligence requirements. In this regard, colleges and universities should improve the data governance mechanism, optimise the construction of intelligent platforms, improve the digital literacy of teachers, adhere to student-centred, and improve the evaluation feedback mechanism, promote the deep integration of artificial intelligence technology and ideological and political education, and realise the organic unity of technological empowerment and value education.