Title

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

Document Type

Conference Paper

Publication Details

Buckingham, S., de Laat, M., De, A., Ferguson, R., Kirschner, P., Ravenscroft, A., Sandor, A. & Whitelock, D. (2013). DCLA13: 1st International Workshop on Discourse-Centric Learning Analytics. LAK '13 Proceedings of the Third International Conference on Learning Analytics and Knowledge (pp. 282-282). New York: ACM Digital Library.

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. 2013 Authors.

RIS ID

115567

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Link to publisher version (DOI)

http://dx.doi.org/10.1145/2460296.2460357