Learning analytics in formative assessment: A systematic literature review

Ke ZHANG, Ramazan YILMAZ, Ahmet Berk USTUN, Fatma Gizem KARAOĞLAN YILMAZ
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Abstract

This systematic review examines the use of learning analytics (LA) in formative assessment (FA). LA is a powerful tool that can support FA by providing real-time feedback to students and teachers. The review analyzes studies published on Web of Science and Scopus databases between 2011 and 2022 that provide an overview of the current state of published research on the use of LA for FA in diverse learning environments and through different delivery modes. This review also explores the significant potential of LA in FA practices in digital learning. A total of 63 studies met all selection criteria and were fully reviewed by conducting multiple analyses including selected bibliometrics, a categorical meta-trends analysis and inductive content analysis. The results indicate that the number of LA in FA studies has experienced a significant surge over the past decade. The results also show the current state of research on LA in FA, through a range of disciplines, journals, research methods, learning environments and delivery modes. This review can help inform the implementation of LA in educational contexts to support effective FA practices. However, the review also highlights the need for further research.
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形成性评价中的学习分析:系统的文献综述
这个系统的回顾检查了学习分析(LA)在形成性评估(FA)中的使用。LA是一个强大的工具,可以通过向学生和老师提供实时反馈来支持FA。该综述分析了2011年至2022年间发表在Web of Science和Scopus数据库上的研究,概述了在不同学习环境中通过不同交付模式使用LA进行FA的已发表研究的现状。这篇综述还探讨了在数字化学习的FA实践中LA的巨大潜力。共有63项研究符合所有选择标准,并通过多种分析进行全面审查,包括选定的文献计量学、分类元趋势分析和归纳内容分析。结果表明,FA研究中LA的数量在过去十年中经历了显著的激增。研究结果还从学科、期刊、研究方法、学习环境和交付模式等方面显示了FA中LA的研究现状。这篇综述可以帮助告知在教育背景下LA的实施,以支持有效的FA实践。然而,该综述也强调了进一步研究的必要性。
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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来源期刊
CiteScore
0.70
自引率
20.00%
发文量
14
审稿时长
10 weeks
期刊最新文献
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