Author(s)

Li Sun and Huanxiang Gao

Corresponding Author

Huanxiang Gao

Abstract

Modern education is increasingly emphasizing "innovation education" and "skills education", and it is important to cultivate "knowledge + skills" talents. As one of the constituent disciplines of clinical nursing, basic nursing science has special requirements for nursing students, so the requirements for nursing students will be higher. This requires not only that nursing students have solid theoretical expertise, but also that they have strong Ability to evaluate thinking. As a professional foundation course, basic nursing is very theoretical and practical. Relying on a single teaching method cannot meet the needs of modern teaching. According to the characteristics of basic nursing teaching content, combining the existing teaching conditions and the characteristics of students. Based on a variety of teaching methods, comprehensive teaching methods such as situational simulation teaching, multimedia teaching, research-based learning, and camera feedback teaching methods have achieved good results. The purpose of this article is to optimize the application of multiple intelligent teaching models in basic nursing teaching. This article uses language, mathematical logic, visual space, body movements, music rhythm, interpersonal communication, self-awareness, and the cultivation of natural observation intelligence to improve the learning and optimization of basic nursing. And experimented with two undergraduate classes of 2018 in a certain school. The teaching teachers, content, and teaching progress of the two classes were consistent. Finally, the examination was conducted within a certain period of time, and it was found that the students in the observation group scored higher than the students in the control group using the multiple intelligence teaching method. In addition, more than 90% of participants in the observation group liked using multiple intelligent teaching methods.

Keywords

Modern Education; Basic Nursing; Professional Basic Courses; Multiple Intelligent Teaching