Towards strengthening links between learning analytics and assessment: Challenges and potentials of a promising new bond
Towards strengthening links between learning analytics and assessment: Challenges and potentials of a promising new bond
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加强学习分析和评估之间的联系：有希望的新纽带的挑战和潜力
DOI：
10.1016/j.chb.2022.107304
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发表时间：
2022
影响因子：
9.9
通讯作者：
Shaffer, D. W.
中科院分区：
文献类型：
--
作者：
Gašević, D.;Greiff, S.;Shaffer, D. W.
学习分析使用有关数字学习环境中学习者交互的大量数据来理解和增强学习。虽然测量是学习分析的一个核心维度，但迄今为止，很少有研究探讨学习分析和评估之间的联系。这期《计算机在人类行为中的应用》特刊重点介绍了11项研究，这些研究探讨了如何加强学习分析和评估之间的联系。这些研究的贡献可以大致分为三类：评估分析（学习分析方法作为评估的形式）;评估分析（学习分析的应用，以回答有关评估实践的问题）;和测量的有效性（概念化和实用方法，以确保有效性的测量学习分析）。这些研究的结果突出了学习分析和评估之间联系的紧迫科学和实践挑战和机遇，需要跨学科团队解决：任务设计，学习进展分析，可信度和公平性-以释放学习分析和评估之间联系的全部潜力。
Learning analytics uses large amounts of data about learner interactions in digital learning environments to understand and enhance learning. Although measurement is a central dimension of learning analytics, there has thus far been little research that examines links between learning analytics and assessment. This special issue ofComputers in Human Behaviorhighlights 11 studies that explore how links between learning analytics and assessment can be strengthened. The contributions of these studies can be broadly grouped into three categories:analytics for assessment(learning analytic approaches as forms of assessment);analytics of assessment(applications of learning analytics to answer questions about assessment practices); andvalidity of measurement(conceptualization of and practical approaches to assuring validity in measurement in learning analytics). The findings of these studies highlight pressing scientific and practical challenges and opportunities in the connections between learning analytics and assessment that will require interdisciplinary teams to address: task design, analysis of learning progressions, trustworthiness, and fairness – to unlock the full potential of the links between learning analytics and assessment.