Research on the Integration Mechanism and Practical Pathways of the 5E Teaching Model and Case Teaching Under AI Empowerment—Taking the Applied Statistics Major in Higher Education Institutions as an Example

Abstract

With the rapid advancement of artificial intelligence technology, traditional applied statistics education in higher education institutions faces the challenge of cultivating students' ability to solve complex real-world problems. Addressing the highly practical nature of the applied statistics discipline, this study explores the deep integration of the 5E teaching model with case-based teaching methods, empowered by AI technology. The paper first analyzes the inherent compatibility between the 5E teaching model and case-based teaching, then systematically constructs an "5E-C-AI" integration mechanism model under AI empowerment, and elaborates on specific implementation pathways within applied statistics instruction. Research demonstrates that this integrated model effectively stimulates students' inquiry interest, deepens statistical thinking, and enhances their comprehensive abilities in data acquisition, processing, modeling, and interpretation, thereby providing a new paradigm for cultivating innovative and application-oriented statistics professionals.