Educational virtual environments: A ten-year review of empirical research (1999–2009)

计算机科学 实证研究 数据科学 数学 统计
作者
Tassos A. Mikropoulos,Antonis Natsis
出处
期刊:Computers & education [Elsevier BV]
卷期号:56 (3): 769-780 被引量:1026
标识
DOI:10.1016/j.compedu.2010.10.020
摘要

This study is a ten-year critical review of empirical research on the educational applications of Virtual Reality (VR). Results show that although the majority of the 53 reviewed articles refer to science and mathematics, researchers from social sciences also seem to appreciate the educational value of VR and incorporate their learning goals in Educational Virtual Environments (EVEs). Although VR supports multisensory interaction channels, visual representations predominate. Few are the studies that incorporate intuitive interactivity, indicating a research trend in this direction. Few are the settings that use immersive EVEs reporting positive results on users’ attitudes and learning outcomes, indicating that there is a need for further research on the capabilities of such systems. Features of VR that contribute to learning such as first order experiences, natural semantics, size, transduction, reification, autonomy and presence are exploited according to the educational context and content. Presence seems to play an important role in learning and it is a subject needing further and intensive studies. Constructivism seems to be the theoretical model the majority of the EVEs are based on. The studies present real world, authentic tasks that enable context and content dependent knowledge construction. They also provide multiple representations of reality by representing the natural complexity of the world. Findings show that collaboration and social negotiation are not only limited to the participants of an EVE, but exist between participants and avatars, offering a new dimension to computer assisted learning. Little can yet be concluded regarding the retention of the knowledge acquired in EVEs. Longitudinal studies are necessary, and we believe that the main outcome of this study is the future research perspectives it brings to light.
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
刚刚
1秒前
1秒前
称心的沛蓝完成签到,获得积分10
1秒前
2秒前
现代访梦完成签到 ,获得积分10
3秒前
领导范儿应助dsfd采纳,获得10
3秒前
3秒前
欣慰碧彤应助sunsiyu采纳,获得10
3秒前
时光是个无赖应助宋toki采纳,获得10
3秒前
zhai完成签到,获得积分10
4秒前
Ava应助momo采纳,获得10
4秒前
一刀完成签到,获得积分10
4秒前
可乐发布了新的文献求助10
5秒前
WEI发布了新的文献求助10
5秒前
快点毕业发布了新的文献求助10
5秒前
科研通AI6.2应助畔畔采纳,获得30
5秒前
5秒前
6秒前
6秒前
111完成签到,获得积分10
6秒前
薛薛完成签到,获得积分10
6秒前
gy发布了新的文献求助10
6秒前
6秒前
JingyuanZeng应助taipingyang采纳,获得10
7秒前
华仔应助隐形初曼采纳,获得10
8秒前
ljj完成签到 ,获得积分10
8秒前
Matrix应助kk采纳,获得10
9秒前
9秒前
Orange应助慈祥的丹寒采纳,获得10
9秒前
10秒前
胡图图发布了新的文献求助30
10秒前
an完成签到,获得积分10
10秒前
10秒前
11秒前
12秒前
hu970发布了新的文献求助10
12秒前
12秒前
Cong应助lingling采纳,获得30
12秒前
酒精喵喵应助毗昙采纳,获得10
12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
Encyclopedia of Cardiovascular Research and Medicine(2e) 820
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7780827
求助须知:如何正确求助?哪些是违规求助? 9320851
关于积分的说明 20379811
捐赠科研通 7368518
什么是DOI,文献DOI怎么找? 3319899
关于科研通互助平台的介绍 2467738
邀请新用户注册赠送积分活动 2335787