学习分析:大型远程开放教育机构的挑战、悖论和机遇

P. Prinsloo, Sharon Slade, F. Galpin
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引用次数: 33

摘要

尽管自Spady等人提出学生成功的第一个概念映射以来,对学生的保留和成功进行了所有研究[12],但对学生的成功率和保留率的影响并不相等。为了实现学习分析对学生留存率和成功的影响,大型开放式远程学习(ODL)机构面临着许多挑战、矛盾和机遇。为了本文的目的,我们批评了学习分析的“封闭”观点,认为它只关注学生与高等教育机构互动产生的数据。学生并不是他们学习过程中唯一的参与者,学习分析也包括所有利益相关者对学生学习过程的影响,以提高学生学习的成功率,这一点似乎至关重要。因此,文化、后现代和身份理论家所使用的“第三空间”概念为绘制挑战和机遇提供了有用的启发,但也为学习分析的悖论及其对学生成功和保留的潜在影响提供了有用的启发。本文以英国开放大学(OU)和南非大学(Unisa)这两个大型ODL机构为例,探讨了其中的一些挑战、矛盾和机遇。虽然这两个机构有许多共同的特点,但它们之间也有一些主要和重要的区别。我们将探讨在这两个机构的背景下,学习分析提供的一些共同的挑战、悖论和机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Learning analytics: challenges, paradoxes and opportunities for mega open distance learning institutions
Despite all the research on student retention and success since the first conceptual mappings of student success e.g. Spady [12], there have not been equal impacts on the rates of both student success and retention. To realise the potential of learning analytics to impact on student retention and success, mega open distance learning (ODL) institutions face a number of challenges, paradoxes and opportunities. For the purpose of this paper we critique a 'closed' view of learning analytics as focusing only on data produced by students' interactions with institutions of higher learning. Students are not the only actors in their learning journeys and it would seem crucial that learning analytics also includes the impacts of all stakeholders on students' learning journeys in order to increase the success of students' learning. As such the notion of 'Thirdspace' as used by cultural, postmodern and identity theorists provide a useful heuristic to map the challenges and opportunities, but also the paradoxes of learning analytics and its potential impact on student success and retention. This paper explores some of these challenges, paradoxes and opportunities with reference to two mega ODL institutions namely the Open University in the UK (OU) and the University of South Africa (Unisa). Although these two institutions share a number of characteristics, there are also some major and important differences between them. We explore some of the shared challenges, paradoxes and opportunities learning analytics offer in the context of these two institutions.
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