TY - GEN A1 - Kutzner, Tobias A1 - Steinert, Christian A1 - Rojas, Pedro A1 - Wälder, Olga A1 - Wolf, Bodo T1 - Konzept einer universellen Selbstlern App als mobiles (online) Self Assessment für die Studieneingangsphase an Hochschulen N2 - An der BTU wurden bisher vorrangig Apps für Mathematik in der Studieneingangsphase entwickelt, mit (angehenden) Studierenden über mehrere Semester erfolgreich getestet und in zahlreichen Publikationen vorgestellt. Inzwischen wurde das Konzept der an der BTU seit 2012 entwickelten Mathematik App weitergedacht. Dabei standen folgende grundlegende Fragen im Raum: Warum nicht eine App für alle Fachgebiete der Studieneingangsphase? Warum nicht eine App die völlig geräteunabhängig ist? Warum nicht eine App deren Inhalte auch von nicht Informatikern eingepflegt werden können? Aus diesen Fragestellungen und den darauffolgenden Überlegungen kamen wir zum Schluss eine Universelle Lern App als mobiles (online) Assessment für die Studieneingangsphase zu entwickeln. KW - eLearning KW - Lern Apps KW - HTML 5 Y1 - 2020 UR - https://www.th-wildau.de/files/ZQE/Selbststudium/Poster_BTUCottbus_Kutzner.pdf CY - TH Wildau ER - TY - GEN A1 - Rojas, Pedro A1 - Caviedes-Voullième, Daniel A1 - Hinz, Christoph T1 - Semi-automatic image analysis of spatiotemporal vegetation evolution in the Hühnerwasser catchment T2 - EGU General Assembly 2020, Online, 4–8 May 2020 Y1 - 2020 U6 - https://doi.org/10.5194/egusphere-egu2020-13522 ER - TY - GEN A1 - Brück, Yasemine A1 - Rojas, Pedro A1 - Caviedes-Voullième, Daniel A1 - Hinz, Christoph T1 - Processing of aerial images to detect vegetation cover and evaluate transient vegetation patch characteristics of Hühnerwasser catchment T2 - European Geosciences Union, General Assembly 2019, Vienna, Austria, 7–12 April 2019 N2 - The artificial catchment “Hühnerwasser” was built in a post-mining landscape, as a field experiment to observe and monitor early-development ecosystems at first catchment scale. As vegetation is a key driver of hydrological catchment behavior, spatial distribution and temporal dynamics of vegetation affects water redistribution from plot to catchment scale. In the context of early ecosystem development, quantifying changes in vegetation structures is an obvious indicator for state transitions. The first years of ecosystem development at the Hühnerwasser catchment showed rapidly increasing complexity of emerging structures associated with rising vegetation cover and increasing number of plant species. This work will focus on characterizing vegetation cover using aerial images aiming to describe spatial structures and how those evolve in time. The early stages are especially of interest. The structure is therefore characterized by the area of the catchment covered by vegetation, the number of vegetation patches, the mean and maximum patch size and a form factor (area of patch divided by its perimeter). Aerial images with a resolution at cm scale were taken once per year from 2007 to 2018. Binary maps are generated by setting thresholds for red, green and blue channels to differentiate between vegetation cover and bare soil. To evaluate the consistency of the binary images of each channel these images were stacked and compared. The performance of the method was tested by using a set of combinations of thresholds and a comparison with manual mapping of vegetation cover at an image subset was made. The blue channel seems to be very sensitive to detect vegetation and a better differentiation of vegetation and dark/wet soil can be achieved by setting the thresholds of the channels in a specific order. The structures derived by the classification into vegetated and bare soil are more important in the early years of ecosystem development. In those years (2007 to 2011) the most changes took place. As time advances vegetation became less patchy and other characteristics need to be implemented to describe the vegetation cover, taking into account different plant functional types. Y1 - 2019 UR - https://meetingorganizer.copernicus.org/EGU2019/EGU2019-14603.pdf CY - Katlenburg-Lindau ER - TY - GEN A1 - Kutzner, Tobias A1 - Meißner, Marlen A1 - Nesterow, Igor A1 - Rojas, Pedro A1 - Freytag, Andreas T1 - Concept of a cross-university question exchange platform with Moodle LMS T2 - VII Jornadas Iberoamericanas de Innovación Educativa en el Ámbito de las TIC y las TAC, Las Palmas de Gran Canaria, 19 y 20 de noviembre de 2020 N2 - In the European Social Fund (ESF)project "Profilgebundene-Wissenschecks 2.0", seven Brandenburg Universities and Colleges are working together on the implementation and further development of online tools for study orientation, study preparation and support. The work packages include the development of online subject quizzes(online self-assessments), in order to support prospective students to compare their individual knowledge levels with the knowledge required at the beginning of their studies. Depending on the results achieved, e-learning units are provided with the necessary subject-related knowledge.These unitscan be refreshed independently and the attendance of preliminary courses is recommended. The basis for the online assessments is a cross-university question exchange platform on which the affiliated universities sharethe developed questions and thereby establish a nationwide quality standard for self-assessments. The project partners at Brandenburg University of TechnologyCottbus -Senftenberg (BTU)are responsible fordeveloping the question exchange platform and for making the platform available to all partner universities. For this purpose, a concept was developed, whereinMoodle Learning Management Systems (LMS)is used as a basis and expandedto include functions for storing questions with associated metadata and search functions to search for questions with specific metadata. The concept of the cross-university question exchange platform is presented in this paper. KW - higher education KW - databases KW - metadata KW - Moodle KW - plugins Y1 - 2020 UR - https://accedacris.ulpgc.es/bitstream/10553/76553/2/Concept_of_a_cross_university.pdf SN - 978-84-09-22254-4 VL - 2020 SP - 325 EP - 334 CY - Las Palmas G.C. ET - 7. Auflage ER -