在上下文中设置学习分析:克服大规模采用的障碍

Rebecca Ferguson, D. Clow, Leah P. Macfadyen, Alfred Essa, S. Dawson, S. Alexander
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引用次数: 140

摘要

一旦学习分析被成功地开发和测试,下一步就是在更大的范围内实施它们——跨教师、机构或教育系统。这带来了一系列新的挑战,因为教育是一个稳定的系统,抗拒变化。实现大规模的学习分析涉及到与围绕技术增强学习(TEL)存在的整个技术综合体一起工作。这包括所涉及的不同群体——学习者、教育者、管理人员和支持人员——这些群体的做法、他们对教与学如何进行的理解、他们使用的技术以及他们工作的特定环境。在实施过程中,电讯大楼的每一个要素都需要明确和仔细的考虑,以避免失败,并最大限度地提高成功的机会。为了成功地大规模实施学习分析,不仅要提供分析及其相关工具,还要提供适当形式的支持、培训和社区建设,这一点至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Setting learning analytics in context: overcoming the barriers to large-scale adoption
Once learning analytics have been successfully developed and tested, the next step is to implement them at a larger scale -- across a faculty, an institution or an educational system. This introduces a new set of challenges, because education is a stable system, resistant to change. Implementing learning analytics at scale involves working with the entire technological complex that exists around technology-enhanced learning (TEL). This includes the different groups of people involved -- learners, educators, administrators and support staff -- the practices of those groups, their understandings of how teaching and learning take place, the technologies they use and the specific environments within which they operate. Each element of the TEL Complex requires explicit and careful consideration during the process of implementation, in order to avoid failure and maximise the chances of success. In order for learning analytics to be implemented successfully at scale, it is crucial to provide not only the analytics and their associated tools but also appropriate forms of support, training and community building.
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