A study of learning effectiveness in disaster nursing course based on kirkpatrick’s evaluation model

Jing Shia Tang, Chien Liang Chen, Chia Chang Chuang, Chia Jung Chen, Jui Ying Feng

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

This study aims to evaluate the course of disaster nursing through assessing nursing students’ satisfaction, knowledge and skills gain and impact on practices by the Kirkpatrick’s evaluation model. Seventy undergraduate nursing students were surveyed. The study adopted the Kirkpatrick’s evaluation model which contains four levels. Data were presented by descriptive statistics, Person correlation and t-test to conduct the analysis. Level 1 “Reaction”, the significant positively correlation existed between course satisfaction and teaching strategies. Level 2 “Learning”, post-test data was significantly higher than pre-test data. There was positively significant correlation existed between level 3 (Behavior) and level 4 (Result). Our course programs can be used as a reference for future nursing schools offer related courses to prepare the implementation of disaster nursing courses and teaching methods, establish suitable disaster nursing education programs for our national conditions.

原文English
主出版物標題Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2018 International Conference on Human Factors in Training, Education, and Learning Sciences, 2018
編輯Aleksandra Polak-Sopinska, Salman Nazir, Anna-Maria Teperi
發行者Springer Verlag
頁面375-384
頁數10
ISBN(列印)9783319938813
DOIs
出版狀態Published - 2019
事件AHFE International Conference on Human Factors in Training, Education, and Learning Sciences, 2018 - Orlando, United States
持續時間: 2018 7月 212018 7月 25

出版系列

名字Advances in Intelligent Systems and Computing
785
ISSN(列印)2194-5357

Other

OtherAHFE International Conference on Human Factors in Training, Education, and Learning Sciences, 2018
國家/地區United States
城市Orlando
期間18-07-2118-07-25

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 一般電腦科學

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