评估肯尼亚公立大学在线学习的前景与挑战:马辛德-穆利罗科技大学案例研究

Salmon Owidi, Eric Wangila, J. Shiundu, Mukasa Simiyu
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引用次数: 0

摘要

互联网用户数量的增加、对教育的需求以及电子设备在学者中的广泛使用,为在线学习提供了替代传统教育的潜力。这可以与适当的规划、明确的在线学习政策和训练有素的人员联系起来,以促进在线学习过程。最近的研究表明,非洲公立大学今后有可能比以往任何时候都更积极地采用在线学习。因此,本研究概述了马辛德-穆拉利科技大学的讲师、学生和管理层对在线教学基础设施的前景和挑战以及它如何影响公立大学学习的看法。研究采用了描述性调查的方法。从 682 个样本中收集了数据,其中包括学生、教师和技术人员。样本采用分层抽样技术选出。数据收集使用了问卷和访谈表。分析方法包括频率、平均值、标准差和回归分析。研究结果表明,鉴于移动学习在大多数学习者中的可及性和可用性,移动学习是在线学习问题的解决方案。研究还表明,在线学习提供了以学生为中心的定制化学习体验。有序逻辑回归的结果(Wald = 0.673)表明,使用在线教学基础设施的挑战确实影响了公立大学的学习。使用简单线性回归分析区间数据也证实了这一点,其中教师和学生的结果也与逻辑有序回归的结果一致、
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the Prospects and Challenges of Online Learning in Kenyan Public Universities: A Case Study of Masinde Muliro University of Science and Technology
The increase in the number of internet users, the demand for education, and the widespread use of electronic devices among scholars have created a potential in online learning as an alternative to traditional education. This can be linked proper planning, clear online learning policies and trained personnel to facilitate the online learning process. Recent studies point to the possibility of African public universities adopting online learning more aggressively in the future than ever before. This study therefore outlines the opinions of lecturers, students and the management of Masinde Mulari University of Science and Technology regarding the prospects and challenges of online pedagogical infrastructure and how it affects learning in public universities. The study used a descriptive survey. Data was collected from a sample size of 682 which included students, members of faculty, and technical staff. The sample was selected using a stratified sampling technique. Data was collected using questionnaires and interview schedules. Analysis was done using frequencies, means, standard deviations, and regression analysis. The findings showed that mobile learning is the solution to online learning problems given its accessibility and availability amongst most learners. It also shows that online learning provides customized learning experiences in which learning is student-centered. The results from ordered logistic regression, (Wald = 0.673,) showed that indeed challenges of use of online pedagogical infrastructure affects learning in public universities. This was confirmed by the analysis of interval data using simple linear regression in which the outcome for both faculty and students also were in line with the findings of logistic ordered regression,
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