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

Published: 08 April 2013 Publication History

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.

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  • (2014)DCLA14Proceedings of the Fourth International Conference on Learning Analytics And Knowledge10.1145/2567574.2567631(283-284)Online publication date: 24-Mar-2014

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

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    cover image ACM Conferences
    LAK '13: Proceedings of the Third International Conference on Learning Analytics and Knowledge
    April 2013
    300 pages
    ISBN:9781450317856
    DOI:10.1145/2460296

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 08 April 2013

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    Author Tags

    1. argumentation
    2. deliberation
    3. dialogue
    4. discourse
    5. learning analytics
    6. visualization

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    LAK '13 Paper Acceptance Rate 16 of 58 submissions, 28%;
    Overall Acceptance Rate 236 of 782 submissions, 30%

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    • (2014)DCLA14Proceedings of the Fourth International Conference on Learning Analytics And Knowledge10.1145/2567574.2567631(283-284)Online publication date: 24-Mar-2014

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