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Learning analytics: where information science and the learning sciences meet

机译：学习分析：信息科学与学习科学的交汇之处

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Purpose - The explosive growth in the number of digital tools utilized in everyday learning activities generates data at an unprecedented scale, providing exciting challenges that cross scholarly communities. This paper aims to provide an overview of learning analytics (LA) with the aim of helping members of the information and learning sciences communities understand how educational Big Data is relevant to their research agendas and how they can contribute to this growing new field. Design/methodology/approach - Highlighting shared values and issues illustrates why LA is the perfect meeting ground for information and the learning sciences, and suggests how by working together effective LA tools can be designed to innovate education. Findings - Analytics-driven performance dashboards are offered as a specific example of one research area where information and learning scientists can make a significant contribution to LA research. Recent reviews of existing dashboard studies point to a dearth of evaluation with regard to either theory or outcomes. Here, the relevant expertise from researchers in both the learning sciences and information science is offered as an important opportunity to improve the design and evaluation of student-facing dashboards. Originality/value - This paper outlines important ties between three scholarly communities to illustrate how their combined research expertise is crucial to advancing how we understand learning and for developing LA-based interventions that meet the values that we all share.
机译：目的-日常学习活动中使用的数字工具数量的爆炸性增长产生了前所未有的规模的数据，这为跨学术界的挑战带来了令人兴奋的挑战。本文旨在概述学习分析（LA），以帮助信息和学习科学界的成员了解教育性大数据如何与他们的研究议程相关联，以及他们如何为这个不断发展的新领域做出贡献。设计/方法/方法-突出共享价值和问题说明了洛杉矶为何是信息和学习科学的理想聚会场所，并建议了如何通过共同努力设计有效的洛杉矶工具来创新教育。调查结果-分析驱动的绩效仪表盘作为一个研究领域的特定示例提供，信息和学习科学家可以为洛杉矶研究做出重要贡献。现有仪表板研究的最新评论指出，缺乏对理论或结果的评估。在这里，学习科学和信息科学领域研究人员的相关专业知识被提供为改善面向学生仪表板的设计和评估的重要机会。原创性/价值-本文概述了三个学术社区之间的重要联系，以说明他们的综合研究专长对于提升我们对学习的理解以及开发符合我们共同价值的基于LA的干预措施至关重要。

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