Each month, we highlight one of the new additions to the LACE Evidence Hub, which brings together evidence about learning analytics. Everyone is welcome to add to the Hub site, which you can visit via one of the tabs at the top of this page.
The Evidence of the Month for June 2015 is a literature review that is intended to provide a comprehensive background for understanding current knowledge related to learning analytics and educational data mining and its impact on adaptive learning. Its authors examined the literature on experimental case studies conducted in the domain between 2008 and 2013. They analysed and categorised the research questions, methodology and findings of the 40 published papers that met their inclusion criteria, and went on to evaluate and interpret the findings of these papers. They also developed a SWOT (strengths, weakness, threats and opportunities) analysis of the field.
Papamitsiou, Z., & Economides, A. A. (2014). Learning analytics and educational data mining in practice: a systematic literature review of empirical evidence. Educational Technology & Society, 17(4), 49-64.
In terms of the LACE Evidence Hub, the literature review is particularly interesting, because it summarises the findings of these key papers, classifying the pedagogical results in terms of formal and non-formal learning. It thus provides an overview of current evidence in the field, as well as evidence of the scale of deployment.