Review of: Ifenthaler, D., Mah, D., & Yau, J.Y. (Eds). (2019). Utilizing analytics to support study success. Cham, Switzerland: Springer International Publishing. https://doi.org/10.1007/978-3-319-64792-0.

For implementations based on learning analytics to be accepted, as could be said for implementations based on quantitative or qualitative analytics, new levels of data science competence are needed by both students and staff. This is another case where data and data science literacy need to progress alongside technical and organizational acceptance. In particular, the editors call for more longitudinal research, empirical and experimental research grounded in and advancing learning theory and intersections with data science methods. [Extracted from the article]