Research of teaching methods on medical statistics of undergraduate nurse students studying traditional Chinese medicine
10.3760/cma.j.issn.1674-2907.2011.35.043
- VernacularTitle:中医护理本科生医学统计学教学方法探讨
- Author:
Juan WU
1
;
Guo-Chun LI
;
Ju DONG
;
Jun-Fang ZHANG
Author Information
1. 南京中医药大学
- Keywords:
Education,Nursing(TCM);
Teaching;
Statistics;
Research
- From:
Chinese Journal of Modern Nursing
2011;17(35):4356-4359
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the cognitive level of medical statistics course in undergraduate nurse students studying traditional Chinese medicine and the methods to improve the present teaching method,and to develop statistical thinking of students with the view of promoting the research level of students.Methods With the nursing project and teaching method of enlightening interesting,A self-designed questionnaire was used to survey the cognitive level of 142 undergraduate nurse students studying traditional Chinese medicine in Nanjing University of TCM,all of them had completed the medical statistics curricula.Results Total of 142 students were collected,most students had confidence in studying the course.90.1％ students had gasped the basic thought,51.4％ students did not think about the future research work,80.3％ students had realized the existence of variance and error,16.9％ students thought nursing of Chinese medicine had disadvantages compared to Western medicine.Most students supported the application of statistical software.Among several examination methods,practice a specific data or distinguish data processing error was the methods that more accepted by students.Conclusions Nursing of Chinese medicine has broad and bright prospects,thus,it is essential to raise the scientific cognition and data procession level of nursing students.Data pertaining Chinese medicine is complicated and it is vital to deep the teaching of medical statistics course,to raise the studying interesting,to practice the concrete data and to teach the theory course combine with the software.
