乌干达公立大学讲师的政策支持与研究生产力:以Kyambogo大学为例

Moses Kanaabi, George Wilson Kasule, P. Owino
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引用次数: 0

摘要

在当今竞争激烈的全球高等教育市场中,研究生产力已成为决定大学有效性的主要标准。此外,高质量的研究可以提高学者个人、院系和机构的全球排名、认可度和声望,从而带来多重收益。然而,在乌干达公立大学的研究产出较低的情况下,迫切需要增加组织支持,以便利讲师履行这一主要的大学职能。因此,这项混合方法研究的目的是评估大学研究政策对Kyambogo大学讲师研究生产力的影响。Kyambogo大学是乌干达最大但相对较新的公立大学之一。相关调查设计指导研究使用定性和定量方法。研究对象包括127名博士讲师、3名学院院长、质量保证及人力资源总监、大学财务主管和大学图书馆员。通过问卷调查和访谈收集的数据使用结构方程模型对定量数据进行分析,而对定性数据使用主题内容分析来建立变量之间的关系。研究结果显示,政策对科研生产力的支持程度中等,均值为3.07,变量之间的beta值为0.416,p值为0.000,呈显著正相关。该研究建议制定和实施有利于和支持政策,以提高公立大学讲师的研究生产力。这些发现可能会被用来告知大学管理者如何制定实际的政策干预措施,以提高公立大学讲师的研究生产力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Policy Support and Research Productivity among Lecturers in Ugandan Public Universities: Case of Kyambogo University
In today’s competitive global higher education market, research productivity has become a dominant criterion for determining the university’s effectiveness. Besides, high-quality research benefits individual academics, their departments and institutions by raising their global rankings, recognition and prestige, with multiple accruing benefits. However, in a situation of low research output from Ugandan public universities, there is urgent need for increased organisational support to facilitate lecturers in conducting this cardinal university function. This mixed-methods study was, therefore, intended to evaluate the effect of the university research policy on lecturers’ research productivity in Kyambogo University, one of the biggest but relatively new public universities in Uganda. A correlational survey design guided the study using both qualitative and quantitative approaches. A sample of 127 PhD-holding lecturers, three faculty deans, Directors of Quality Assurance and Human Resource, the University Bursar and the University Librarian participated in the study. Data collected using questionnaire and interviews were analysed using structural equation modelling for quantitative data while thematic content analysis was used for qualitative data to establish relationships between the variables. The findings revealed moderate policy support for research productivity with a mean value of 3.07, a positive and significant relationship between the variables with a beta value of .416 and a P-value of .000. The study recommended the formulation and implementation of favouring and supportive policies to increase lecturers’ research productivity in public universities. The findings will likely be used to inform university managers on generating practical policy interventions to boost research productivity among lecturers in public universities.
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