Alternative methods for teaching cadastre and remote sensing

Cadastre is essential for the sustainable development of modern society. As well, mapping and surveying is one of the most important tasks for surveyors worldwide in order to maintain the Cadastre. This article summarises a recent study conducted by the authors on overall student assessment of learning Cadastre and Remote Sensing. The goal is to highlight which teaching method has better success rate for students. This paper studies the academic outcomes for a total of 286 students divided into two optional courses of Cadastre at higher education for eight academic years. They are analysed through three different educational modalities: face-to-face (FTF), blended and online for one course, and FTF and online for another. In order to deepen the analysis, a model using classification trees (Classification and regression trees, CART) was created. It has been observed that the blended modality is the one that offers worst results in terms of success rate. If we compare exclusively the FTF method to the online one, we can conclude that the latter shows better results in all respects, improving the success rate and increasing the percentage of students who obtain highest marks.