Nursing Students' Acceptance of an Online Computer-based Simulation System Utilizing the Technology Acceptance Model

被引:3
作者
Stephen, Anita M. [1 ]
Ritzhaupt, Albert [2 ]
机构
[1] Univ Florida, Coll Nursing, Gainesville, FL 32610 USA
[2] Univ Florida, Coll Educ, Gainesville, FL USA
关键词
Computer-based simulation; Online; COVID-19; Technology Acceptance Model; Undergraduate nursing students; PERCEIVED EASE; IMPLEMENTATION; EXTENSION; EDUCATION; ADOPTION; CARE;
D O I
10.1016/j.ecns.2023.04.004
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
Background: The utilization of online simulation to teach nursing students has increased. The purpose of this study was to discover if external factors of instruction and support influence nursing students' acceptance of an online computer-based simulation. Methods: A quantitative study using the Technology Acceptance Model (TAM) was completed by 210 nursing students. Data was collected using an online questionnaire with a Likert scale and analyzed using descriptive statistics, reliability, correlation, and path analysis.Results: The external factors of instruction and support had a significant impact on the acceptance of the online computer-based simulation.Conclusion: The acceptance of online computer-based simulations in nursing students are influenced by external factors of instruction and support.Cite this article: Stephen, A.M., & Ritzhaupt, A. (2023, Month). Nursing Students' Acceptance of an Online Computerbased Simulation System Utilizing the Technology Acceptance Model. Clinical Simulation in Nursing , 81, 1-9. https://doi.org/10.1016/j.ecns.2023.04.004 .& COPY; 2023 International Nursing Association for Clinical Simulation and Learning. Published by Elsevier Inc. All rights reserved.
引用
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页数:9
相关论文
共 39 条
[1]   Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors [J].
Abdullah, Fazil ;
Ward, Rupert .
COMPUTERS IN HUMAN BEHAVIOR, 2016, 56 :238-256
[2]   The History of Simulation and Its Impact on the Future [J].
Aebersold, Michelle .
AACN ADVANCED CRITICAL CARE, 2016, 27 (01) :56-61
[3]   Implementation and outcome evaluation of high-fidelity simulation scenarios to integrate cognitive and psychomotor skills for Korean nursing students [J].
Ahn, Heejung ;
Kim, Hyun-Young .
NURSE EDUCATION TODAY, 2015, 35 (05) :706-711
[4]   Nursing Simulation and Transfer of Knowledge in Undergraduate Nursing Programs: A Literature Review [J].
Alt-Gehrman, Penny .
NURSING EDUCATION PERSPECTIVES, 2019, 40 (02) :95-98
[5]   An extension of the technology acceptance model in an ERP implementation environment [J].
Amoako-Gyampah, K ;
Salam, AF .
INFORMATION & MANAGEMENT, 2004, 41 (06) :731-745
[6]   STRUCTURAL EQUATION MODELING IN PRACTICE - A REVIEW AND RECOMMENDED 2-STEP APPROACH [J].
ANDERSON, JC ;
GERBING, DW .
PSYCHOLOGICAL BULLETIN, 1988, 103 (03) :411-423
[7]  
[Anonymous], 2012, An introduction to statistical concepts
[8]  
Cant R. P., 2015, J NURSING ED PRACTIC, V5, P113, DOI [10.5430/jnep.v5n11p113, DOI 10.5430/JNEP.V5N11P113]
[9]   The value of simulation-based learning in pre-licensure nurse education: A state-of-the-art review and meta-analysis [J].
Cant, Robyn P. ;
Cooper, Simon J. .
NURSE EDUCATION IN PRACTICE, 2017, 27 :45-62
[10]   Simulation in the Internet age: The place of Web-based simulation in nursing education. An integrative review [J].
Cant, Robyn P. ;
Cooper, Simon J. .
NURSE EDUCATION TODAY, 2014, 34 (12) :1435-1442