The Integration of Digital-Intelligent Innovation Models with the Teaching Reform and Practice of Health Assessment Courses

Abstract

With the rapid advancement of digital technologies and artificial intelligence, the field of higher education is undergoing profound transformations. As a core course in medical education, the Health Assessment curriculum faces significant challenges, including lagging updates to teaching content, limited teaching methodologies, and inadequate practical components. Grounded in the concept of digital-intelligent innovation and leveraging the Superstar Learning Platform, this study has developed a tripartite teaching model for the Health Assessment course—comprising “Knowledge Graph + Virtual Simulation + BOPPPS”. By integrating the comprehensive process management functionality of the Learning Platform, virtual simulation technologies, and a knowledge graph engine, this model enables dynamic optimization of teaching content, diversified transformation of teaching methods, and more precise instructional assessment. Following two semesters of classroom implementation, students in the experimental group demonstrated significantly superior performance compared to those in the control group across all metrics—including theoretical knowledge mastery, clinical skill application, and comprehensive assessment capabilities (p <0.05); furthermore, their teaching satisfaction rate increased to 92.3%. This study demonstrates that the digital-intelligent innovation approach can effectively enhance the teaching quality of the Health Assessment course and improve students’ learning experience, offering a valuable reference framework for the reform of nursing education.