Are We Living In LA (P)LA Land? Reporting on the Practice of 30 STEM Tutors in their Use of a Learning Analytics Implementation at the Open University

Tom Olney, S. Walker, Carlton Wood, Anactoria Clarke
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引用次数: 4

Abstract

Most higher education institutions view their increasing use of learning analytics as having significant potential to improve student academic achievement, retention outcomes, and learning and teaching practice but the realization of this potential remains stubbornly elusive. While there is an abundance of published research on the creation of visualizations, dashboards, and predictive models, there has been little work done to explore the impact of learning analytics on the actual practice of teachers. Through the lens of social informatics (an approach that views the users of technologies as active social actors whose technological practices constitute a wider socio-technical system) this qualitative study reports on an investigation into the practice of 30 tutors in the STEM faculty at Europe’s largest distance learning organization, The Open University UK (OU). When asked to incorporate learning analytics (including predictive learning analytics) contained in the Early Alert Indicator (EAI) dashboard during the 2017–2018 academic year into their practice, we found that tutors interacted with this dashboard in certain unanticipated ways and developed three identifiable “shadow practices”.
我们生活在洛杉矶吗?报告30名STEM导师在开放大学使用学习分析实施的实践
大多数高等教育机构认为,他们越来越多地使用学习分析,对于提高学生的学习成绩、保留结果以及学习和教学实践具有巨大的潜力,但这种潜力的实现仍然难以实现。虽然有大量关于可视化、仪表板和预测模型创建的已发表研究,但探索学习分析对教师实际实践的影响的工作却很少。通过社会信息学(一种将技术用户视为活跃的社会行动者的方法,其技术实践构成了更广泛的社会技术系统),本定性研究报告了对欧洲最大的远程学习组织英国开放大学(OU) STEM学院30名教师实践的调查。当被要求在2017-2018学年将早期预警指标(EAI)仪表板中包含的学习分析(包括预测学习分析)纳入他们的实践中时,我们发现导师以某些意想不到的方式与该仪表板互动,并开发了三种可识别的“影子实践”。
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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