DCLA13: 1st International Workshop on Discourse-Centric Learning Analytics

S. B. Shum, M. Laat, A. Liddo, Rebecca Ferguson, P. Kirschner, Andrew Ravenscroft, Ágnes Sándor, Denise Whitelock
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引用次数: 6

Abstract

This workshop anticipates that an important class of learning analytic will emerge at the intersection of research into learning dynamics, online discussion platforms, and computational linguistics. Written discourse is arguably the primary class of data that can give us insights into deeper learning and higher order qualities such as critical thinking, argumentation, mastery of complex ideas, empathy, collaboration and interpersonal skills. Moreover, the ability to write in a scholarly manner is a core competence, often taking the form of discourse with oneself and the literature. Computational linguistics research has developed a rich array of tools for machine interpretation of human discourse, but work to develop these tools in the context of learning is at a relatively early stage. Moreover, there is a significant difference between designing tools to assist researchers in discourse analysis, and their deployment on platforms to provide meaningful analytics for the learners and educators who are conducting that discourse. This workshop aims to catalyse ideas and build community connections among those who want to shape this field.
第一届以话语为中心的学习分析国际研讨会
本次研讨会预计,在学习动力学、在线讨论平台和计算语言学的交叉研究中,将出现一个重要的学习分析类。书面话语可以说是数据的主要类别,它可以让我们了解更深层次的学习和更高层次的品质,如批判性思维、论证、对复杂思想的掌握、同理心、协作和人际交往能力。此外,以学术方式写作的能力是一种核心能力,通常采取与自己和文学对话的形式。计算语言学研究已经开发了丰富的机器解释人类话语的工具,但在学习背景下开发这些工具的工作还处于相对早期的阶段。此外,设计工具来帮助研究人员进行话语分析,与在平台上部署工具来为进行话语的学习者和教育工作者提供有意义的分析,两者之间存在显著差异。这个研讨会的目的是在那些想要塑造这个领域的人之间促进思想和建立社区联系。
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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