Effect of clinical nursing teacher training mode based on deep learning theory / 中华医学教育探索杂志

ABSTRACT

Objective:To explore the effect of clinical nursing teacher training mode guided by deep learning theory.Methods:The clinical nursing teacher training mode was constructed under the guidance of deep learning theory and in combination with the characteristics of clinical nursing teachers, led and implemented by the university teacher development center. The questionnaire guided by Kirkpatrick Model was used to investigate clinical nursing teachers who had completed the five-stage training. The effects and differences in reaction, learning, behavior, and result levels were compared between the training objects in six training sessions. A total of 138 questionnaires were collected, of which 129 questionnaires were valid, with a response rate of 93.48%. The SPSS 22.0 was used to conduct analysis of variance or chi-square test.Results:On the reaction level, there were significant differences in the satisfaction of trainees in training time, examination form, and organization management ( P<0.05); on the learning level, the trainees had different opinions on the effect of training on promotion and improvement of clinical nursing quality ( P<0.05); on the behavior level, the training objects had different tasks in undergraduate classroom teaching and in hospital and medical association education and training ( P<0.05); on the result level, the clinical nursing teachers who completed the training all participated in different types of nursing teaching. Conclusion:The clinical nursing teacher training mode based on deep learning theory can significantly improve the teaching ability of clinical nursing teachers and promote their professional development.