Research on the Talent Training Path for Undergraduates in Public Security Colleges and Universities from the Perspective of Smart Education

Abstract

Artificial intelligence (AI) drives the paradigm innovation of higher education. Based on the research on the integration of AI and undergraduate talent training in public security colleges and universities, this study analyzes the role of AI in improving the quality of undergraduate education and teaching. It includes four aspects: smart education helps enhance the quality of prospective police officers, facilitates the integration of teaching theories with grassroots police work, innovates intelligent assessment schemes, and improves teachers’ digital and intelligent literacy. On this basis, the study explores the internal mechanism of smart education supporting talent training in public security colleges and universities, and systematically puts forward countermeasures for smart education to boost talent training in such institutions. These countermeasures mainly cover four dimensions: promoting the high-quality development of public security higher education via smart education, enriching the research system of smart education and teaching, gradually optimizing the smart education and teaching model, and establishing and improving the smart education evaluation system.