As digitalization of education and distributed learning environments has become a prevalent trend, learning analytics (LA) has emerged as an integrative part of any modern learning system that aims to support teachers and students using educational data. LA takes advantage of powerful computer technologies to collect students’ digital traces with the hope of inferring actionable insights into their learning process. This presentation provides brief overview of LA, including basic concepts and exemplar use cases, ranging from built-in data reports to intelligence dashboards as well as predictive models. Concluding remarks emphasize the potential benefits and caveats arising from the use of analytics in education.

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