ISSN 1672-9234 CN 11-5289/R
Responsible Institution:China Association for Science and Technology
Publishing:Chinese Nursing Journals Publishing House Co.,Ltd.
Sponsor:Chinese Nursing Association
Source journal for Chinese Science Citation Database
China Academic Journals Full-text Database
China Core Journal Alternative Database
Chinese Science and Technical Journal Database

Chinese Journal of Nursing Education ›› 2024, Vol. 21 ›› Issue (5): 569-573.doi: 10.3761/j.issn.1672-9234.2024.05.010

• Nursing Education • Previous Articles     Next Articles

Application of PAD class teaching model in Internal Medicine Nursing course from the perspective of deep learning

MIN Gui(),DENG Yuan,QI Wenyan()   

  • Received:2023-11-12 Online:2024-05-15 Published:2024-05-16

Abstract:

Objective To explore the application effect of PAD class teaching model under the perspective of deep learning in the teaching of internal medicine nursing course. Methods From February 2023 to June 2023,120 second-year nursing students from two classes at a higher education institution in Jiangxi Province were selected as research subjects using a convenience sampling method. These students then were divided into an experimental group and a control group according to the class,with 60 students in each. The experimental group adopted a deep learning-informed PAD class teaching model,which included five phases:pre-class preparation,teaching new content,individual study,classroom discussion,and post-class reflection. The control group adopted the traditional teaching model,with a primary focus on teacher-led instruction. Results After the intervention,the experimental group scored higher than the control group in deep learning ability(131.50±11.56 vs. 122.07±20.60;t=3.093,P=0.003),and theoretical score higher than the control group(78.95±9.01 vs. 71.82±12.99;t=3.495,P<0.001). Conclusion The PAD class teaching model under the perspective of deep learning can enhance students’ deep learning abilities and academic performance,contributing to improving teaching quality.

Key words: Deep learning, PAD class, Internal medicine nursing, Teaching reform