Abstract
The emergence of learning analytics as a discipline of its own has given way to a diverse subset of research fields offering very different approximations to the topic. One of the most recent and active approaches is social learning analytics, which focuses primarily on the application of social network analysis (SNA) techniques and visualizations to study and help understanding interactions in online courses as a key pillar of social construction of learning. However, and despite this interest, current tools for analysis and visualization are very limited for advanced social learning analytics, and SNA applications cannot directly process data from learning management systems. This paper presents a technical view of the design and implementation of a web services-based application that aims to overcome these limitations by extracting and processing educational data about forum interactions in online courses to generate the corresponding social graphs and enable advanced social network analysis on SNA software.
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Chaparro-Peláez, J., Acquila-Natale, E., Iglesias-Pradas, S., Suárez-Navas, I. (2015). A Web Services-Based Application for LMS Data Extraction and Processing for Social Network Analysis. In: Palacios-Marqués, D., Ribeiro Soriano, D., Huarng, K. (eds) New Information and Communication Technologies for Knowledge Management in Organizations. GIKA 2015. Lecture Notes in Business Information Processing, vol 222. Springer, Cham. https://doi.org/10.1007/978-3-319-22204-2_11
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DOI: https://doi.org/10.1007/978-3-319-22204-2_11
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