The current state of using learning analytics to measure and support K-12 student engagement: A scoping review

Melissa Bond, Olga Viberg, Nina Bergdahl
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Abstract

Student engagement has been identified as a critical construct for understanding and predicting educational success. However, research has shown that it can be hard to align data-driven insights of engagement with observed and self-reported levels of engagement. Given the emergence and increasing application of learning analytics (LA) within K-12 education, further research is needed to understand how engagement is being conceptualized and measured within LA research. This scoping review identifies and synthesizes literature published between 2011-2022, focused on LA and student engagement in K-12 contexts, and indexed in five international databases. 27 articles and conference papers from 13 different countries were included for review. We found that most of the research was undertaken in middle school years within STEM subjects. The results show that there is a wide discrepancy in researchers’ understanding and operationalization of engagement and little evidence to suggest that LA improves learning outcomes and support. However, the potential to do so remains strong. Guidance is provided for future LA engagement research to better align with these goals.
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使用学习分析来衡量和支持K-12学生参与的现状:范围审查
学生参与已被确定为理解和预测教育成功的关键结构。然而,研究表明,很难将数据驱动的敬业度见解与观察到的和自我报告的敬业度水平结合起来。鉴于学习分析(LA)在K-12教育中的出现和越来越多的应用,需要进一步的研究来了解如何在学习分析研究中概念化和衡量参与。这一范围审查确定并综合了2011-2022年间发表的文献,重点关注洛杉矶和K-12背景下的学生参与度,并在五个国际数据库中进行了索引。来自13个不同国家的27篇文章和会议论文被纳入审查。我们发现,大多数研究都是在中学阶段的STEM学科中进行的。研究结果表明,研究人员对敬业度的理解和操作存在很大差异,并且很少有证据表明学习辅助能够改善学习成果和支持。然而,这样做的潜力仍然很大。为未来的洛杉矶参与研究提供指导,以更好地与这些目标保持一致。
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