Exploring the Precision Teaching Model in Nursing Vocational Education under the Context of Digital Transformation

Abstract

As the world advances into the digital age, the rapid development and deep integration of digital technologies are driving profound transformations across industries and education. The digital transformation of nursing vocational education has become an inevitable path for its future development. Emerging technologies such as big data, artificial intelligence (AI), and virtual reality (VR) are infusing nursing education with fresh dynamics and methodologies. With the support of big data, educators can collect and analyze vast amounts of educational data, gaining deeper insights into students' needs and learning progress. This enables the implementation of personalized teaching plans and the dynamic adjustment of instructional content and methods in line with students' actual conditions. Online education platforms facilitate active interaction and communication between teachers and students, further enhancing learning outcomes. Students, on the other hand, can study according to their individual learning needs, pace, and schedules, thus improving both learning efficiency and results. Furthermore, pre-class and post-class practical exercises are supported through diverse digital resources, offering more flexible and comprehensive learning support to guide educational activities. The precision teaching model not only aligns with the demands of the era but also signifies a profound reform in educational approaches, impacting educational content, teaching methods, and assessment systems. This model places students at the core of teaching, emphasizing the development of personalized and practical skills, making nursing education more tailored and intelligent. Digital transformation not only enhances learning efficiency and outcomes but also paves the way for the future development of nursing vocational education.