Virtual Reality to Teach Students in Laboratories: A Bibliometric and Network Analysis

虚拟现实 元数据 计算机科学 万维网 人工智能
作者
Renato Matos Lopes,Luiza Amara Maciel Braga,Aline Silvestre Rosa Serrão,Luciana do Amara Teixeira,Michele Waltz Comarú,Raphael Argento de Souza,Cristina Alves Magalhães de Souza,Fábio Batista Mota
出处
期刊:Journal of Chemical Education [American Chemical Society]
卷期号:101 (2): 501-513 被引量:7
标识
DOI:10.1021/acs.jchemed.3c00925
摘要

The latest developments in virtual reality (VR) are gaining attention in education as they are expected to provide risk-free, hands-on learning experiences. However, the use of VR in laboratory settings is still in its early stages of adoption. Therefore, it remains unclear whether these technologies will be widely adopted to educate students in laboratories, as well as their advantages and disadvantages compared to traditional laboratories. This study aims to map the global scientific publications related to the use of VR for teaching in virtual laboratories. To achieve this, we analyze the global scientific landscape of publications related to the use of VR for teaching students in laboratories. We combined bibliometric and network analysis techniques to analyze the metadata of related research articles published between 1994 and 2022 indexed in the Web of Science Core Collection. Our findings show a rising trend, with almost 65% of all articles published between 2018 and 2022. Leading journals include the Journal of Chemical Education, Computers & Education, and Computers Applications in Engineering Education. Most publications are indexed in the research areas of Education & Educational Research, Computer Science, and Engineering. The United States leads in publications, collaborating mostly with Denmark, Spain, and the United Kingdom. The University of California is the top organization in publications, with Griffith University facilitating knowledge exchange among organizations. By providing an overview of publications related to the use of VR in laboratory education, we hope that this study will be of interest to researchers, educators, and students.
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
Nole应助科研通管家采纳,获得10
刚刚
田様应助科研通管家采纳,获得10
刚刚
Owen应助科研通管家采纳,获得10
刚刚
Hello应助科研通管家采纳,获得10
刚刚
轻松的寻桃完成签到,获得积分10
1秒前
hhh应助科研通管家采纳,获得20
1秒前
Orange应助科研通管家采纳,获得10
1秒前
Nole应助科研通管家采纳,获得10
1秒前
英姑应助科研通管家采纳,获得10
1秒前
Yuuki完成签到,获得积分10
1秒前
koui发布了新的文献求助10
3秒前
江南发布了新的文献求助10
4秒前
maner发布了新的文献求助10
4秒前
知性的猎豹完成签到,获得积分10
6秒前
残雪月完成签到 ,获得积分10
6秒前
lzn发布了新的文献求助10
6秒前
7秒前
可乐加冰完成签到,获得积分10
7秒前
失眠世平发布了新的文献求助10
8秒前
桐桐应助熊熊采纳,获得10
9秒前
10秒前
10秒前
幽默书瑶完成签到,获得积分10
13秒前
13秒前
14秒前
思源应助懦弱的洋采纳,获得10
14秒前
鹤卿完成签到,获得积分10
14秒前
Sumeru发布了新的文献求助10
14秒前
星辰大海应助lzn采纳,获得10
14秒前
16秒前
23完成签到 ,获得积分10
16秒前
17秒前
加油加油完成签到 ,获得积分10
17秒前
18秒前
丘比特应助破三计划采纳,获得10
18秒前
念l完成签到,获得积分10
19秒前
鹤卿发布了新的文献求助10
21秒前
呆萌冷雪发布了新的文献求助10
22秒前
22秒前
yerk发布了新的文献求助10
24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
Autoparametric Resonance in Mechanical Systems 1000
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 500
Auslegungsgeschichte 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7643778
求助须知:如何正确求助?哪些是违规求助? 9216781
关于积分的说明 19773275
捐赠科研通 7209104
什么是DOI,文献DOI怎么找? 3276715
关于科研通互助平台的介绍 2438276
邀请新用户注册赠送积分活动 2274526