乌干达坎帕拉市公立大学E-Learning的能力与有效实施

W. Mugizi, Joseph Rwothumio
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引用次数: 0

摘要

由于间歇性封锁,新冠肺炎疫情限制了进入大学校园的通道。因此,教育机构被迫采用虚拟教学技术,以确保持续的教与学。然而,乌干达大学在线教育的有效实施面临着能力挑战,阻碍了其有效性。因此,本研究调查了在COVID-19大流行期间和之后,大学能力对乌干达坎帕拉市公立大学有效实施电子学习的影响。基于资源基础理论(RBT),研究了大学有效实施电子学习的能力,包括实验能力、集成能力和内容管理能力。采用定量方法,从位于乌干达坎帕拉市仅有的两所公立大学Kyambogo和Makerere大学的312名学术人员样本中收集了横断面数据。数据是通过自我管理的问卷收集的。使用描述性和推断性统计对数据进行分析。描述性统计涉及均值的计算,而推理分析涉及使用SmartPLS的结构方程模型(SEM)。结果显示,内容管理和整合能力对电子学习实施具有显著的正向预测作用。然而,实验负向且不显著地预测电子学习的实施。该研究的结论是,内容管理和集成能力对电子学习的实施至关重要。然而,实验并不是有效实施电子学习的必要条件。因此,建议大学管理者应发展整合能力,并应支持讲师改进其内容管理,但在实施电子学习时不应优先考虑实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Universities’ Capabilities and Effective Implementation of E-Learning in Public Universities in Kampala City, Uganda
The COVID-19 pandemic restricted access to campuses of universities owing to intermittent lock downs. Consequently, educational institutions were forced to adopt virtual teaching techniques to ensure continued teaching and learning. However, the effective implementation of online education in universities in Uganda faced capability challenges that hindered its effectiveness. Therefore, this study investigated the influence of universities’ capabilities on the effective implementation of e-learning in public universities in Kampala City, Uganda during and beyond the COVID-19 pandemic period. Anchoring in resource-based theory (RBT), universities’ capabilities for effective implementation e-learning studied included experimentation, integration capability, and content management. Using the quantitative approach, cross-sectional data was collected from a sample of 312 academic staff from Kyambogo and Makerere Universities,the only two public universities located in Kampala City, Uganda. Data was collected using a self-administered questionnaire. The data was analysed using descriptive and inferential statistics. Descriptive statistics involved the calculation of means while inferential analysis involved structural equation models (SEM) using SmartPLS. The results revealed that content management and integration capability positively and significantly predicted e-learning implementation. However,experimentation negatively and insignificantly predicted e-learning implementation. The study concluded that content management and integration capability are vital for e-learning implementation. Nonetheless, experimentation is not a probable requirement for the effective implementation of e-learning. Therefore, it was recommended that university managers should develop integration capabilities, and should support lecturers to improve their content management, but experimentation should not be prioritised in the implementation of e-learning.
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