提高高校科研产出:以巴斯特马大学科研模式为例

Asaph KEIKARA MUHUMUZA, Fulgensia KAMUGISHA MBABAZI
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引用次数: 0

摘要

大学排名已经成为衡量高等院校特征的标准,无论其专业是社会科学、自然科学、卫生科学还是技术。尽管专业领域和地理位置不同,但全球排名最高的大学都是基于相同的标准。高等院校的排名主要基于教学方法、战略定位、以出版物为单位的研究产出、学术人员与学生的比例、国际联系或伙伴关系、技术资源的管理以及现有的人力和基础设施资源。本文试图通过对乌干达Busitema大学的一个案例研究来探讨在发展中机构加强研究的可能方法。我们提出了Busitema大学研究(BUR)模型,该模型可以用来分析为什么高等院校(HIL)的绩效应该基于机构研究产出(IRO)的标准进行排名。我们还对29名受访者进行了调查,并使用电子表格对数据进行了分析。从产生的结果来看,学术人员的质量在很大程度上决定了研究产出,从而决定了大学排名的提高。研究结果也为BUR模型的发展奠定了基础。我们会在一项涉及不同高等教育机构的综合研究中进一步测试已开发的模型,特别是在计算各自的机构研究指数和排名方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Research Output in Higher Institutions of Learning: A Case Study of Busitema University Research Model
University rankings have become a standard criterion of characterising higher institutions of learning irrespective of their specialisation, be it social sciences, natural sciences, health sciences or technology. The most highly ranked institutions worldwide are based on the same criteria despite the area of specialty and the geographical location. Higher institutional rankings are mainly based on pedagogy, strategic placement, research output in terms of publications, academic staff-student ratio, international linkage or partnerships, management of technological resources, and the existing human and infrastructural resources. This article attempts to address the possible ways to enhance research in developing institutions with a case study of Busitema University, Uganda. We propose the Busitema University Research (BUR) Model that can be used to analyse why the performance of higher institutions of learning (HIL) should be ranked based on the criteria of institutional research output (IRO). A survey was also conducted from 29 respondents and the data was analysed using Spreadsheet. From the generated results, it was established that the quality of academic staff highly determines the research output and thereby the increased university ranking. The results also formed the basis of the BUR Model development. The developed model will further be tested during a comprehensive study involving different HIL, especially in computing their respective institutional research index and rankings.
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