赤字、资产还是整个人?影响归属的机构数据实践

IASSIST quarterly Pub Date : 2022-12-28 DOI:10.29173/iq1031
Nastasha E. Johnson, M. Nelson, Katherine N. Yngve
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引用次数: 0

摘要

考虑到自20世纪80年代以来发展起来的资本主义高等教育模式,高等教育机构收集的学生数据是基于微观目标的,以了解和留住学生作为消费者,并留住客户群(即防止流失/辍学)。机构数据的收集由来已久,但作者将质疑在当前的高等教育模式中如何、为什么以及为谁收集数据。然后,作者将转向当前高等教育对公平、多样性、包容性的关注,特别是高等教育中归属感的概念。作者质疑机构数据收集的集体和地方目的以及当前做法的后果,并将辩称,在当前做法下,利用现有机构数据促进学生归属感是不可能的。我们将提出一个以资产为导向的机构数据实践的新框架,以学生作为一个整体为中心,并使数据收集远离学生作为商品的概念。我们提出了一个基于数据女权主义的新框架,旨在提升定性数据和沿着钟形曲线的所有人/经验,而不仅仅是中间两个象限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deficit, asset, or whole person? Institutional data practices that impact belongingness
Given the capitalist model of higher education that has developed since the 1980s, the data collected by institutions of higher education on students is based on micro-targeting to understand and retain students as consumers, and to retain that customer base (i.e. to prevent attrition/dropouts). Institutional data has long been collected but the authors will question how, why, and for whom the data is collected in the current higher education model. The authors will then turn to the current higher education focus on equity, diversity, inclusion, and particularly on the concept of belongingness in higher education. The authors question the collective and local purposes of institutional data collection and the fallout of the current practices and will argue that using existing institutional data to facilitate student belongingness is impossible with current practices. We will propose a new framework of asset-minded institutional data practices that centers the student as a whole person and recenters data collection away from the concept of students as commodities. We propose a new framework based on data feminism that intends to elevate qualitative data and all persons/experiences along the bell-shaped curve, not just the middle two quadrants.  
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