Research on the Reconstruction of the Practical Teaching Model of Digital Intelligence Empowerment-driven Applied Undergraduate Ideological and Political Courses

Abstract

The rapid development of digital intelligence technology is profoundly changing the form of education and teaching in colleges and universities, and also provides new conditions for the practical teaching reform of applied undergraduate ideological and political courses. Applied undergraduate colleges and universities undertake the important task of cultivating high-quality applied talents. The practical teaching of ideological and political courses should not only serve the value guidance, but also respond to the actual needs of students' professional growth, social cognition and practical ability improvement. At present, there are still phenomena such as goal generalisation, content dispersion, single scene, and lagging evaluation in traditional practical teaching, which affects the effectiveness of ideological and political courses. Under the background of digital intelligence empowerment, we should rely on big data, artificial intelligence, virtual simulation, digital resource platform and other technical means to promote the systematic restructuring of practical teaching goals, content, scenarios and processes, and form a more open, collaborative, accurate and dynamic practical teaching model. By improving the top-level design, platform construction, collaborative education and quality evaluation mechanism, we can further improve the relevance, participation and educational effectiveness of practical teaching of applied undergraduate ideological and political courses.