Measuring University Staff Mobility Impact in Higher Education

Karlis Valtins, Zane Emilija Sarma
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Abstract

The paper addresses an issue within the field of higher education that has been discussed since the inception of the Erasmus mobility programme in 1987 - how to properly measure the impact of the staff mobility (academic and administrative). Students have a clear roadmap when it comes to the mobility practice and impact assessment but when it comes to staff mobility, impact assessment is less clear. For academic staff mobility, certain metrics can be used to objectively assess outcomes, but when it comes to the administrative staff, matters become more abstract as there are no widely used common metrics. This paper proposes a tool – the Mobility Matrix, that allows to measure the staff mobility impact using quantitative and qualitative data. The Mobility Matrix offers 10 characteristics of the mobility period that can be assessed at 3 levels for the quantitative part and three text fields for the qualitative part. This tool was tested at Riga Technical University (2023) for the assessment of the staff mobility impact. If the staff member provides credible and accurate data, the Mobility Matrix has the potential to become a common practice in higher education, allowing for new recognition mechanisms of staff mobility to emerge.
衡量大学人员流动对高等教育的影响
本文探讨了自 1987 年伊拉斯谟流动计划启动以来高等教育领域一直在讨论的一个问 题--如何正确衡量(学术和行政)人员流动的影响。在流动实践和影响评估方面,学生有一个清晰的路线图,但在人员流动方面,影响评估就不那么清晰了。对于学术人员的流动,可以使用某些指标来客观评估结果,但对于行政人员的流动,由于没有广泛使用的通用指标,情况就变得更加抽象。本文提出了一种工具--流动矩阵,可以利用定量和定性数据来衡量人员流动的影响。人员流动矩阵提供了人员流动期间的 10 个特征,这些特征可以在定量部分的 3 个级别和定性部分的 3 个文本字段中进行评估。里加技术大学(2023 年)对这一工具进行了测试,以评估人员流动的影响。如果工作人员能提供可信和准确的数据,流动矩阵就有可能成为高等教育中的一种普遍做法,从而出现新的工作人员流动认可机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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