Exploring pre-service teachers’ intentions of adopting and using virtual reality classrooms in science education

Author:

Ogegbo Ayodele AbosedeORCID,Penn MaforORCID,Ramnarain UmeshORCID,Pila OniccahORCID,Van Der Westhuizen ChristoORCID,Mdlalose NoluthandoORCID,Moser Ivan,Hlosta MartinORCID,Bergamin PerORCID

Abstract

AbstractThis study investigated how pre-service teachers perceive and plan to use a virtual reality classroom for science teaching during microteaching practices. The UTAUT 2 model was adopted as the conceptual framework for this study. Data were collected through an online survey from eighty-three pre-service science teachers from a large metropolitan university in Gauteng Province, South Africa. The collected data were analysed using descriptive and regression analysis. The results revealed that pre-service teachers demonstrated a high level of acceptance and intention to use Virtual reality classrooms in their microteaching practice and future classroom teaching. Thus, implying that they were receptive to the idea of using virtual reality classrooms in their microteaching practice and future classroom practice. Results further indicate that the preservice teachers are fascinated by the utilization of virtual reality classrooms for their microteaching practice based on two significant factors: social influence and technology self-assurance. However, results show that age and gender do not moderate the influence of performance expectancy, effort expectancy, social influence, facilitating condition, hedonic motivation, self-efficacy, anxiety and attitude on preservice teachers’ behavioural intention to accept and the virtual reality classroom for their microteaching practice and future classroom teaching. The implications of these findings for science teaching and learning are discussed as it delves into the motivations and considerations of pre-service teachers when incorporating virtual reality classrooms into their teaching practices for science education.

Funder

University of Johannesburg

Publisher

Springer Science and Business Media LLC

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