Initiated by SOLAR and edited by Charles Lang and George Siemens, the Handbook of Learning Analytics & Educational Data Mining (HLAEDM) will bring an overview of important methods and techniques in the space of LA and EDM. We are glad that we are part of this great initiative!

I am glad that we are part of this great initiative!

Kovanović, V., Joksimović, S., Gašević, D., Hatala, M., & Siemens, G.: “Content Analytics: the definition, scope, and an overview of published research”

The preprint of our chapter is also available for [download].

Abstract The field of learning analytics recently attracted attention from educational practitioners and researchers interested in the use of large amounts of learning data for understanding learning process and improving learning and teaching practices. In this chapter, we introduce content analytics – a particular form of learning analytics focused on the analysis of different forms of content related to learning. While several publications provided brief overviews of content analytics, the goal of this chapter is to define content analytics and provide a comprehensive overview of the most important studies in the published literature to date. Given the early stage of the learning analytics field, the focus of this chapter is on the important problems and challenges for which existing content analytics approaches are suitable and have been successfully used in the past. We also reflect on the current trends in content analytics and their position within a broader domain of educational research.