动态技术环境中的教学资源和能力需求:来自津巴布韦哈拉雷学校的证据

IF 2.6 Q1 EDUCATION & EDUCATIONAL RESEARCH E-Learning and Digital Media Pub Date : 2023-12-01 DOI:10.1177/20427530231217040
More Chinakidzwa, L. T. Chamba
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引用次数: 0

摘要

随着大多数教学转移到网上,2019冠状病毒病大流行要求将数字技术融入教师的实践。然而,对动态技术环境下教学的资源和能力需求的询问仍然缺失。因此,本研究试图确定在动态和技术的在线环境中教学的资源和能力需求。这项研究至关重要,因为学习者的语境不同,从而限制了现有知识的适用性。此外,现有知识对动态技术环境中各种能力对教学的影响仍然没有定论。因此,从津巴布韦的情况提供经验证据是至关重要的。本研究采用横断面方法,使用结构化问卷收集数据。人口包括哈拉雷选定学校的教师。由于COVID-19的限制,我们方便地选择了样本。采用warpppls 7.0软件建立结构方程模型。结果表明:技术能力(TechCap)、技术经验(TechExp)和技术获取(TechAcc)显著影响技术环境下的教学(β = 0.41, p < 0.01;β = 0.31, p < 0.05; β = 0.27, p < 0.01)。技术意愿(TechWill)对教学无显著影响(β = - 0.05, p > 0.05)。研究建议提高教师的技术能力、经验和获取途径。此外,该研究还就职前和在职培训、能力和基础设施发展方案以及技术综合教学框架设计提出了政策建议。
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Resources and capability needs for teaching in dynamic technological environments: Evidence from schools in Harare, Zimbabwe
The COVID-19 pandemic has necessitated the integration of digital technologies into teachers’ practice as most teaching moved online. However, an interrogation of the resource and capability needs for teaching in the dynamic technological environment remains missing. Therefore, the study sought to determine the resource and capability needs for teaching in a dynamic and technological online environment. The study was critical because learner context differs, thereby limiting the applicability of existing knowledge. In addition, existing knowledge remains inconclusive on the influence of various capabilities on teaching in dynamic technological environments. It was, therefore, crucial to provide empirical evidence from the Zimbabwean context. The study adopted a cross-sectional approach to data collection using a structured questionnaire. The population comprised teachers from selected schools in Harare. Due to the COVID-19 restrictions, the sample was conveniently chosen. A structural equation model was conducted using WarpPLS 7.0. The results show that technological capability (TechCap), technological experience (TechExp), and technological access (TechAcc) significantly influence teaching in technological environments (β = 0.41, p < .01; β = 0.31, p < .05 and β = 0.27, p < .01) respectively. Technological will (TechWill) was found not to significantly influence teaching (β = −0.05, p > .05). The study recommended the enhancement of teachers’ technological capability, experience and access. Further, the study made policy recommendations for pre-service and in-service training, capacity and infrastructure development programmes, and technology-integrated teaching and learning framework design.
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来源期刊
E-Learning and Digital Media
E-Learning and Digital Media EDUCATION & EDUCATIONAL RESEARCH-
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4.30
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