Learning an algorithm--a systematic sequence of operations for solving a problem with given input--is often difficult for students due to the abstract nature of the algorithms and the data they process. To help students understand the behavior of algorithms, a subfield in computing education research has focused on algorithm visualization--learning material showing the steps and data used by an algorithm. As the use of mobile devices has risen together with the capabilities of the devices, mobile learning is more important than ever. It also opens possibilities to contextualize the learning experience. In this paper, we present our work towards location-aware mobile learning of spatial algorithms that adapts the learning material to the location of the student. [For the full proceedings see ED562140.]