Learning Analytics for Primary and Secondary Schools

Vitomir Kovanovíc, Claudia Mazziotti, J. Lodge
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引用次数: 19

Abstract

Over the past decade, the increasing use of learning analytics opened the possibility of making data-driven decisions for improving student learning. Driven by the strong university adoption of learning analytics, most early learning analytics research focused on issues specific to tertiary education. With the broader adoption of educational technologies in primary and secondary education and the emergence of new classroom-focused technologies, there has been a growing awareness of the potentials of learning analytics for supporting students and diagnosing their learning progress in pre-university contexts. This special section focused on investigating, developing, and evaluating state-of-the-art learning analytics approaches within primary and secondary school settings. In this editorial, we summarize the papers of the special section and discuss the challenges and opportunities for learning analytics within the school context. We conclude with the discussion around the opportunities for future work and the implications of this special section for the field of learning analytics.
《中小学学习分析》
在过去的十年里,学习分析的使用越来越多,为提高学生的学习水平提供了数据驱动决策的可能性。在大学大力采用学习分析的推动下,大多数早期学习分析研究都集中在高等教育的具体问题上。随着教育技术在中小学教育中的广泛应用以及以课堂为中心的新技术的出现,人们越来越意识到学习分析在大学预科环境中支持学生和诊断他们的学习进展方面的潜力。这个特别的部分集中在调查,开发和评估在小学和中学设置的最先进的学习分析方法。在这篇社论中,我们总结了特别部分的论文,并讨论了在学校背景下学习分析的挑战和机遇。最后,我们讨论了未来工作的机会,以及这一特殊章节对学习分析领域的影响。
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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