Exploratory data visualization is a key component of data mining processes. It is particularly useful to gain insights from high-dimensional data and improve the interpretability of these processes as a result. Data visualization is limited to the capabilities of the viewer. These perceptual limitations in the process of data visualization can be at least partially overcome through interactive systems that allow us to “navigate” through visual displays. Virtual Reality (VR) is an adequate paradigm to achieve such interaction, but, despite its current blossoming, most efforts in that direction so far have required complex systems and specialized environments and are still far from being standardized. We are currently witnessing a quick industrial move towards wearable VR systems associated to mobile telephony. In parallel, the educational world is steadily moving towards ubiquitously-accessible e-learning environments. Acknowledging both trends, we propose in this thesis the foundations for the future development of a VR mobile app for visual data exploration in the context of educational data mining. The focus on data visualization for data mining is meant to be a proof of concept that could be extended to the teaching of many other aspects of data mining.