An elephant in the learning analytics room: the obligation to act

P. Prinsloo, Sharon Slade
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引用次数: 97

Abstract

As higher education increasingly moves to online and digital learning spaces, we have access not only to greater volumes of student data, but also to increasingly fine-grained and nuanced data. A significant body of research and existing practice are used to convince key stakeholders within higher education of the potential of the collection, analysis and use of student data to positively impact on student experiences in these environments. Much of the recent focus in learning analytics is around predictive modeling and uses of artificial intelligence to both identify learners at risk, and to personalize interventions to increase the chance of success. In this paper we explore the moral and legal basis for the obligation to act on our analyses of student data. The obligation to act entails not only the protection of student privacy and the ethical collection, analysis and use of student data, but also, the effective allocation of resources to ensure appropriate and effective interventions to increase effective teaching and learning. The obligation to act is, however tempered by a number of factors, including inter and intra-departmental operational fragmentation and the constraints imposed by changing funding regimes. Increasingly higher education institutions allocate resources in areas that promise the greatest return. Choosing (not) to respond to the needs of specific student populations then raises questions regarding the scope and nature of the moral and legal obligation to act. There is also evidence that students who are at risk of failing often do not respond to institutional interventions to assist them. In this paper we build and expand on recent research by, for example, the LACE and EP4LA workshops to conceptually map the obligation to act which flows from both higher education's mandate to ensure effective and appropriate teaching and learning and its fiduciary duty to provide an ethical and enabling environment for students to achieve success. We examine how the collection and analysis of student data links to both the availability of resources and the will to act and also to the obligation to act. Further, we examine how that obligation unfolds in two open distance education providers from the perspective of a key set of stakeholders - those in immediate contact with students and their learning journeys - the tutors or adjunct faculty.
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学习分析室里的一头大象:行动的义务
随着高等教育越来越多地转向在线和数字学习空间,我们不仅可以访问更多的学生数据,还可以访问越来越细粒度和细微差别的数据。大量的研究和现有的实践被用来说服高等教育中的关键利益相关者,让他们相信收集、分析和使用学生数据对这些环境中的学生体验产生积极影响的潜力。最近学习分析的焦点主要集中在预测建模和人工智能的使用上,以识别有风险的学习者,并进行个性化干预以增加成功的机会。在本文中,我们探讨了对我们的学生数据分析采取行动的义务的道德和法律依据。采取行动的义务不仅包括保护学生隐私和合乎道德地收集、分析和使用学生数据,而且还包括有效分配资源,以确保适当和有效的干预措施,以提高有效的教与学。然而,采取行动的义务受到若干因素的制约,包括部门间和部门内部业务的分散以及不断变化的供资制度所造成的限制。越来越多的高等教育机构将资源配置在回报最大的领域。选择(不)回应特定学生群体的需求,就会引发有关采取行动的道德和法律义务的范围和性质的问题。也有证据表明,面临不及格风险的学生往往对机构干预的帮助没有反应。在本文中,我们建立并扩展了最近的研究,例如,通过LACE和EP4LA研讨会,从概念上描绘了行动的义务,这些义务来自高等教育的授权,以确保有效和适当的教与学,以及它的信托责任,为学生提供一个道德和有利的环境,以取得成功。我们将研究学生数据的收集和分析如何与资源的可用性、采取行动的意愿以及采取行动的义务联系起来。此外,我们从一组关键利益相关者(与学生和他们的学习旅程直接接触的人)的角度,考察了这一义务如何在两个开放远程教育提供者中展开。
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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