GEOBIZ - project goals
GEOBIZ - Business driven problem-based learning for academic excellence in geoinformatics
Developments in the field of geoinformatics, especially advanced knowledge and skills in EO, UAV, GNSS, sensor technology in general, geo-statistics, data science, deep learning and artificial intelligence, etc. are developing so fast that both business and university sector face problem to keep up with those developments. In a moment, on individual basis, there are enterprises far advanced in development of applications and usage of geoinformatics technologies. Universities are at same time managing to handle changes on theoretical level (in a sence of availability of this knowledge), but they face problems in practical part of teaching (not regarding available equipment, but in a sence of highest practical level of practical part of teaching based on real cases from bussines environment).
Since there is well recognized gap between possibilities offered by systems like Copernicus, Galileo, UAV and sensor technologies in general, synergy is necessary between leading enterprises and universities aiming to develop such methods and teaching approaches which will focus students of geoinformatics on problem based learning to become ready for open labour market in which they will be ready to deal with real cases (almost) directly after their study. To achieve this, a knowledge bank should be established and intensive training provided to university teachers, but also to a secondary school teachers (who prepare scholars for universities).
Wider objectives of this project are to develop new learning and teaching methodologies in field of geoinformatics and geodesy based on business-driven problem-based learning approach, new forms of university-enterprise cooperation, to provide bidirectional transfer of knowledge and skills between enterprises and universities in filed of advanced applications in geoinformatics, to develop new forms of practical training schemes and study of real-life cases in business and industry, long-life learning training programmes for professionals in geoinformatics and quality assessment methodlogy of the new type of learning approach.
