Discourse-centric learning analytics

Authors:
Anna De Liddo;Simon Buckingham Shum;Ivana Quinto;Michelle Bachler;Lorella Cannavacciuolo
Affiliations:
The Open University, Milton Keynes, United Kingdom;The Open University, Milton Keynes, United Kingdom;The Open University, Milton Keynes, United Kingdom and Universita' degli Studi Napoli Federico II, Piazzale Tecchio, Napoli, Italy;The Open University, Milton Keynes, United Kingdom;Universita' degli Studi Napoli Federico II, Piazzale Tecchio, Napoli, Italy
Venue:
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
Year:
2011

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Abstract

Drawing on sociocultural discourse analysis and argumentation theory, we motivate a focus on learners' discourse as a promising site for identifying patterns of activity which correspond to meaningful learning and knowledge construction. However, software platforms must gain access to qualitative information about the rhetorical dimensions to discourse contributions to enable such analytics. This is difficult to extract from naturally occurring text, but the emergence of more-structured annotation and deliberation platforms for learning makes such information available. Using the Cohere web application as a research vehicle, we present examples of analytics at the level of individual learners and groups, showing conceptual and social network patterns, which we propose as indicators of meaningful learning.