How effective is immersive VR for vocational education? Analyzing knowledge gains and motivational effects

职业教育 计算机科学 虚拟现实 人机交互 心理学 多媒体 教育学
作者
Herbert Thomann,Jan Zimmermann,Viola Deutscher
出处
期刊:Computers & education [Elsevier BV]
卷期号:220: 105127-105127 被引量:6
标识
DOI:10.1016/j.compedu.2024.105127
摘要

While Immersive Virtual Reality (IVR) technology has been predominantly employed in technical and medical academic education, it also holds significant potential for Vocational Education and Training (VET). IVR's unique properties, such as high immersion could be especially beneficial in VET, where action-oriented skills, domain-specific knowledge, and their application in new work contexts are crucial. This study investigates the effectiveness of IVR in vocational education, focusing on (1) objective knowledge acquisition, (2) subjectively perceived knowledge acquisition, and (3) motivational effects in the domain of warehouse logistics. Through a randomized controlled trial with 72 vocational students, we compared IVR-based learning to traditional paper-based methods. Results show that IVR did not improve immediate declarative knowledge acquisition; in fact, the paper-pencil group outperformed the IVR group on an objective post-test. However, IVR significantly enhanced students' perceived knowledge gains. The study also confirms higher motivation and immersion in IVR settings compared to paper-based learning environments. The identified discrepancy between perceived and actual learning may help explain the unclear state of research regarding knowledge acquisition in IVR studies, based on the measures used. Moreover, the findings underscore the necessity for a nuanced approach to IVR implementation in VET education. While IVR can be recommended for enhancing short-term learner engagement, traditional methods or a blend of IVR and non-immersive techniques may be more effective for fostering declarative knowledge in the short term.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
干饭魂发布了新的文献求助10
刚刚
刚刚
LTB发布了新的文献求助10
刚刚
1秒前
1秒前
我在高维宇宙完成签到,获得积分10
2秒前
安静的冷风完成签到,获得积分20
2秒前
maomao发布了新的文献求助10
2秒前
ZY完成签到,获得积分10
2秒前
ytong发布了新的文献求助10
2秒前
2秒前
烟圈发布了新的文献求助10
2秒前
3秒前
李健的小迷弟应助zhouxiaoyu采纳,获得10
3秒前
6秒前
CipherSage应助身法马可波罗采纳,获得10
6秒前
6秒前
凡人发布了新的文献求助10
6秒前
leuskz完成签到,获得积分10
7秒前
拼搏忆文发布了新的文献求助10
7秒前
牛安完成签到,获得积分10
7秒前
一条摆摆的沙丁鱼完成签到 ,获得积分10
7秒前
ww关闭了ww文献求助
7秒前
dh关闭了dh文献求助
8秒前
yyc910110完成签到,获得积分20
8秒前
科研通AI6.2应助LTB采纳,获得10
9秒前
阳光元彤完成签到,获得积分10
11秒前
dudu88完成签到 ,获得积分10
11秒前
风q完成签到,获得积分10
11秒前
无花果应助萨达采纳,获得10
11秒前
11秒前
领导范儿应助www采纳,获得10
11秒前
美丽万声完成签到,获得积分10
11秒前
11秒前
拼搏忆文完成签到,获得积分10
12秒前
13秒前
小白虫发布了新的文献求助10
13秒前
玉米青椒完成签到,获得积分10
13秒前
Healer完成签到,获得积分10
14秒前
屈屈完成签到,获得积分10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6526803
求助须知:如何正确求助?哪些是违规求助? 8319786
关于积分的说明 17808706
捐赠科研通 5628440
什么是DOI,文献DOI怎么找? 2929840
邀请新用户注册赠送积分活动 1906594
关于科研通互助平台的介绍 1766136