协作分析需要更全面的模型和方法

A. Han, Florian Krieger, Samuel Greiff
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引用次数: 8

摘要

随着技术的进步,学习分析正在扩展到包括学生的协作设置。尽管它们在实践中的应用越来越多,但某些类型的分析可能无法完全捕获学生协作发生的综合教育背景(例如,当数据收集和处理时没有预定义的模型,这迫使用户在没有足够的上下文信息的情况下得出结论)。此外,现有的协作分析的定义和观点是不一致的。鉴于这些情况,本意见论文以协作课堂设置为背景,探讨了协作分析的相关综合模型。具体而言,本文基于谭佩玲和Koh的生态镜头(2017),《在教学上定位学习分析:走向生态镜头》。学习:研究与实践,3(1),1 - 11。https://doi.org/10.1080/23735082.2017.1305661),这说明了学生,教师和内容之间的三种互动与时间交织在一起的共同出现。此外,本文建议在执行协作分析时,在每个交互中考虑几个因素。并提出了今后研究的议程和建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collaboration Analytics Need More Comprehensive Models and Methods: An Opinion Paper
As technology advances, learning analytics is expanding to include students’ collaboration settings. Despite their increasing application in practice, some types of analytics might not fully capture the comprehensive educational contexts in which students’ collaboration takes place (e.g., when data is collected and processed without predefined models, which forces users to make conclusions without sufficient contextual information). Furthermore, existing definitions and perspectives on collaboration analytics are incongruent. In light of these circumstances, this opinion paper takes a collaborative classroom setting as context and explores relevant comprehensive models for collaboration analytics. Specifically, this paper is based on Pei-Ling Tan and Koh’s ecological lens (2017, Situating learning analytics pedagogically: Towards an ecological lens. Learning: Research and Practice, 3(1), 1–11. https://doi.org/10.1080/23735082.2017.1305661), which illustrates the co-emergence of three interactions among students, teachers, and content interwoven with time. Moreover, this paper suggests several factors to consider in each interaction when executing collaboration analytics. Agendas and recommendations for future research are also presented.
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