Analysis and reflections on the third Learning Analytics and Knowledge conference (LAK 2013)

Type: Evidence | Proposition: C: Uptake | Polarity: | Sector:

This paper reports a scientometric analysis, coupled with a manual content analysis, of the proceedings and programme of LAK 2013. Authorship analysis reveals an open and international community, while internal citation analysis provides evidence of the construction of a body of knowledge central to learning analytics.

Learning analytics is found to be a diverse multidisciplinary field which, in 2013, included 40 core researchers and around 100 additional authors. In addition to papers reflecting on the field, five main topics are identified: visualization, behaviour analysis, social learning analytics, learning analytics for MOOCs, and learning analytics issues (such as ethics and scalability). The body of knowledge central to learning analytics is small, but already shows signs of consolidation.

Scientometrics

Scientometrics involves the use of simple statistics about authors and their papers to provide an indication of the reach, diversity, and ‘health’ of a research community and its knowledge building process).

Citation: Ochoa, Xavier, Suthers, Dan, Verbert, Katrien, & Duval, Erik. (2014). Analysis and reflections on the third Learning Analytics and Knowledge conference (LAK 2013). Journal of Learning Analytics, 1(2), 5-22. | Url: http://epress.lib.uts.edu.au/journals/index.php/JLA/issue/view/335