在发展公平的预警系统中应用负责任的创新框架:案例研究

C. Patterson, Emily York, D. Maxham, Rudy Molina, Paul Mabrey
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引用次数: 0

摘要

预期、包容、响应和反身性(AIRR)框架(Stilgoe et al., 2013)是一个新颖的框架,它帮助科技领域的人们将注意力从产品转移到用于创建这些产品的过程。然而,该框架尚未被应用于高等教育中数据分析的开发和实施。在詹姆斯·麦迪逊大学(James Madison University)创建预警留用系统的案例研究中,一个由大约20名教职员工和学生组成的工作组创造性地利用了AIRR框架。本研究讨论了如何利用AIRR框架来观察和增强群体过程,以及这些增强过程的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying a Responsible Innovation Framework in Developing an Equitable Early Alert System:: A Case Study
The anticipation, inclusion, responsiveness, and reflexivity (AIRR) framework (Stilgoe et al., 2013) is a novel framework that has helped those in science and technology fields shift their focus from products to the processes used to create those products. However, the framework has not been known to be applied to the development and implementation of data analytics in higher education. In a case study of creating an early-alert retention system at James Madison University, a working group of ~20 faculty, staff, and students creatively utilized the AIRR framework. The present study discusses how the AIRR framework was utilized to observe and enhance group processes, and the outcomes of those enhanced processes.
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