Learning Analytics: a Bibliometric Study
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Abstract
Abstract. In recent years, Learning Analysis has attracted increasing attention by researchers, practitioners and institutions. The starting point is the question: How to conduct a state-of-the-art analysis of learning analytics? To answer this question, we designed an exploratory study to obtain an overview of the Learning Analysis theme. We define the search expression and the units of analysis to collect information from the Web of Science. The data analysis was supported by VOSviewer (to generate the networks of keyword co-occurrence and citation of cited references) and Gephi (for the calculation of analysis metrics, the identification of the most relevant terms and the structuring references of the theme). The results obtained, in addition to a general overview, allow us to generate new questions that will give the structure of the literature review, based on a solid conceptual model. This method allows evolving from the description of seminal and relevant articles to a more structured and interconnected analysis.
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