Nursing Students' Scenario Performance: Game Metrics in a Simulation Game

Author:

Koivisto Jaana-Maija,Havola Sara,Engblom Janne,Buure Tuija,Rosqvist Kristiina,Haavisto Elina

Abstract

Abstract AIM The purpose of this study was to examine nursing students' scenario performance in a simulation game by utilizing game metrics. BACKGROUND A significant advantage of simulation games is that they can store large amounts of data. Although game metrics enable the objective evaluation and analysis of performance, their use in the evaluation of students' performance is limited. METHOD Nursing students (N = 376) played a simulation game at home for 1 week. The resulting data consisted of game metrics stored in the game: number of playthroughs, mean scores, and mean playing times. RESULTS The total number of playthroughs was 1,923. Statistically significant differences were found between different scenarios regarding the mean score (p < .0001). Mean playing time was significantly associated with the mean score (p < .05). CONCLUSION Game metrics demonstrate nursing students' scenario performance in clinical reasoning skills in different scenarios in a simulation game.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Education,General Medicine,General Nursing

Reference30 articles.

1. Clinical reasoning and COVID 19 pandemic: Current influencing factors let us take a step back!;Internal Emergency Medicine,2020

2. Designing for online computer-based clinical simulations: Evaluation of instructional approaches;Nurse Education Today,2018

3. Serious gaming and gamification education in health professions: Systematic review;JMIR Publications,2019

4. Value of nursing objective structured clinical examinations: A scoping review;Nurse Educator,2019

5. A systematic review of serious games in medical education: Quality of evidence and pedagogical strategy;Medical Education Online,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3