Team
Cornelia Gläßer
Mike Teucher
Duration: 2017-2019
In this project, the Department of Remote Sensing and Cartography is investigating the possibilities of using e-learning and e-teaching tools in university teaching. The focus is on learning modules and learning analytics methods. Learning modules help students at the beginning of their studies, when changing between study programmes and during the transition from Bachelor’s to Master’s programmes in order to analyse their own prior knowledge, to close knowledge gaps and to show new learning paths. By integrating learning analytics methods, learners are given the opportunity to identify and compensate for deficits. Thus, the learning concept is aimed at a very heterogeneous target group with diverse application possibilities of the learning modules in fields of study with spatial relevance. Application scenarios include fields of study in the natural sciences, but also other branches of science, such as archaeology and history, as well as teacher training in geography. The existing learning and examination units of the subject area of geo-remote sensing and cartography will be examined with regard to the efficiency of conveying the material. On the basis of these results, prototype learning modules will be developed which, with defined learning objectives and associated questions, will enable the user of the system to access the teaching content in different ways. The expansion and integration of the learning modules into the existing IT infrastructure, the ILIAS system, is a key focus. Based on the evaluation of previous modules and examination units, the contents of the system can be adapted to the different target groups in a modular and user-specific way, taking into account the individual level of knowledge. In doing so, the contents of the learning modules are oriented towards a general geographical understanding of space that is independent of the study programme, as it is used in science and practice. In detail, general basics in the field of geo-remote sensing and cartography are presented, which are thematically oriented with the landscape types and regions of the earth and geo-data relevant for process analysis, and which include modelling in different data and scales (e.g.: data acquisition, recording and evaluation). More…