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Differentiating between Educational Data Mining and Learning Analytics: A Bibliometric Approach

Educational Data Mining and Learning Analytics are two relatively new research fields. Natural language techniques can be used to identify major research themes within each field. Similarities and differences between both domains are identified through the use of keyword analysis. Over 4,000 articles are analyzed and bibliometric techniques are used to select 60 articles that best represent major research themes within the intersection, as well as disjoint elements of both fields. Following keyword analysis, we conclude it is more accurate to describe what appears to be two domains (i.e. Educational Data Mining and Learning Analytics) as one domain (i.e. Learning Analytics) with one prominent subset (i.e. Educational Data Mining).