LAL工作坊:学习者的学习分析

S. Bull, B. Ginon, J. Kay, M. Kickmeier-Rust, Matthew D. Johnson
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引用次数: 1

摘要

随着“大数据”的到来;在教育领域,除了指导改革和支持教育工作者改进教学和学习过程外,人们还认识到学习分析的潜力,以跟踪学生的学习,揭示他们的学习模式,或识别有风险的学生[1]。学习分析仪表板已在各级使用,包括机构、区域和国家层面[2]。在课堂使用中,虽然学习可视化通常基于活动数据或交互模式的计数,但人们越来越认识到学习分析与学习有关,因此应该提供教学上有用的信息[3]。虽然越来越多的技术增强的学习应用程序正在接受课堂层面的学习分析的潜力,但这些应用程序通常是针对教师的。然而,学习者也可以从学习分析数据中受益(例如[4][5])。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LAL workshop: learning analytics for learners
With the arrival of 'big data; in education, the potential was recognised for learning analytics to track students' learning, to reveal patterns in their learning, or to identify at-risk students, in addition to guiding reform and supporting educators in improving teaching and learning processes [1]. Learning Analytics dashboards have been used at all levels, including institutional, regional and national level [2]. In classroom use, while learning visualisations are often based on counts of activity data or interaction patterns, there is increasing recognition that learning analytics relate to learning, and should therefore provide pedagogically useful information [3]. While increasing numbers of technology-enhanced learning applications are embracing the potential of learning analytics at the classroom level, often these are aimed at teachers. However, learners can also benefit from learning analytics data (e.g. [4][5]).
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