Learning Analytics for Communities of Inquiry

Vitomir Kovanovic
Dragan Gasevic
Marek Hatala

Abstract


This paper describes a doctoral research that focuses on the development of a learning analytics framework for inquiry-based digital learning. This research builds on the the Community of Inquiry model (CoI) as a foundation commonly used in research and practice of digital learning and teaching. Specifically, the main contributions of this research are: i) the development of a novel text classification algorithm for (semi)automated message classification which enables for easier adoption of the CoI model, ii) understanding of the relationships between different socio-technological interactions and the dimensions of the CoI model.


Keywords


Learning analytics; community of inquiry; quantitative content analysis; social network analysis; trace data clustering

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DOI: http://dx.doi.org/10.18608/jla.2014.13.21

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