Article 2018

Learning With E-books and Project-based Strategy in a Community Health Nursing Course

CIN - Computers Informatics Nursing
Journal · Vol. 36 · Issue 3 · pp. 140-146
Abstract

With advances in information technology, "information-assisted instruction" has been gradually introduced to nursing education curricula. Specifically, the integration of an e-book system can effectively enhance nursing students' attention and interest. Most studies on nursing education that incorporated e-books have focused on the advantages of convenience and assistance provided by e-books. Few studies have addressed community health nursing and off-campus practice activities in relation to suitable teaching strategies for learning activities. This study involved designing and planning a multimedia e-book learning system with a project-based learning activity that conforms to the curriculum and practical requirements of a community health nursing course. The purpose was to reduce the gap between theory and practice and realize an effective learning process. For learning evaluations, a final examination analysis with an independent sample t test; a scoring scheme with intrateam, interteam, and expert ratings; and Bloom's taxonomy-based analysis were conducted. The evaluation results indicated that the comprehension and learning abilities of the experimental group using the e-book system with a mobile device were effectively improved. In addition, the exploratory process involved in project-based learning can develop multiple cognitive skills and problem-solving ability, thereby realizing effective learning. © © 2018 Wolters Kluwer Health, Inc. All rights reserved.

Keywords

Author Keywords

Project-Based Learning community health nursing e-books Information-assisted instruction

Index Keywords

human nursing student procedures psychology Humans Students, Nursing Problem solving curriculum nursing education Problem based learning Problem-Based Learning Education, Nursing, Baccalaureate community health nursing book Books
Author Affiliations
Graduate School of Technological and Vocational Education, National Yunlin University of Science and Technology, Douliou, Yunlin, Taiwan
College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China
Funding & Acknowledgements
Ministry of Science and Technology, Taiwan, MOST
Grant: 104-2511-S-224-003-MY3, 105-2628-S-224-001-MY3
Author Affiliations: Fujian Provincial Key Laboratory of Big Data Mining and Applications, College of Information Science and Engineering, Fujian University of Technology, China (Dr Sung); and Graduate School of Technological and Vocational Education, National Yunlin Universityof Science and Technology, Taiwan (Dr Wu). This work is partially supported by the Ministry of Science and Technology, Taiwan, under grant nos. MOST 105-2628-S-224-001-MY3 and MOST 104-2511-S-224-003-MY3 and partially supported by the Fujian Province Education Science Thirteen-Five Plan 2016 Cross-strait Vocational Education Special Research Project, China, under grant no. FJJKHX16-031.
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