@inproceedings{Klopp2020, author = {Klopp, Marco}, title = {Work-in-Progress: Learning Culture of Generation Z in Informatics}, publisher = {IEEE}, pages = {1589 -- 1593}, year = {2020}, abstract = {A new generation of students is entering the university - Generation Z. This generation is characterized mainly by the existing digitization, since they grew up entirely in it. With regard to different generations, the relationship of the different ages and the associated large cohort difference in the interaction between lecturers and learners should be taken into account and analysed. It's important because, according to the Hattie study, the most important influencing factor for the learning success of learners are the teachers. This means that excellence in teaching (according to the characteristics of the learners) is the most important single factor for the learning outcome. In order to draw the link to Informatics, the consideration of the subject-related culture and the connected learning culture is of central importance. It is obvious to recognize learning cultures in their cultural context, in their reasons and with their consequences for lecturers and students. Frames are therefore not static, but socially constructed and therefore changeable. Learning cultures are created in a communicative negotiation process by all actors in a learning situation. Subject-related culture research also deals with the question of whether and to what extent university teaching differs and which different behaviors can be found among its members. The aim is to classify the Informatics subject-related culture and to describe the ideas and expectations of lecturers and students in the learning environment and in the various social contexts of Informatics, and to reconstruct implicit, practical knowledge for the improvement of learning in Informatics.}, subject = {Generation Geschichte 1995-2010}, language = {en} } @book{Borgeest2024, author = {Borgeest, Kai}, title = {Manipulation of Exhaust Gas Values}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3-658-45863-8}, doi = {10.1007/978-3-658-45864-5}, pages = {128}, year = {2024}, abstract = {This booklet presents background information on the exhaust gas scandal, e. g. pollutants, engine control units, exhaust gas recirculation, exhaust gas aftertreatment, which driving cycles are used for testing, how manipulations on the test bench are possible and in which legal and political environment this happened unnoticed. Measures are presented, how vehicles can comply with legal limits and how manipulations can be prevented legally and politically in future.}, subject = {Kraftfahrzeug}, language = {en} } @inproceedings{FischerHaugSchoppeletal.2025, author = {Fischer, David Vincent and Haug, Jim and Schoppel, Paul and Abke, J{\"o}rg and Becker, Matthias and Hagel, Georg}, title = {Evaluation of a Node-based Automatic Short Answer Tool "NodeGrade"}, series = {Proceedings of the 6th European Conference on Software Engineering Education}, booktitle = {Proceedings of the 6th European Conference on Software Engineering Education}, publisher = {ACM}, address = {New York, NY, USA}, doi = {https://dl.acm.org/doi/10.1145/3723010.3723021}, pages = {20 -- 29}, year = {2025}, abstract = {NodeGrade tries to provide a suitable solution for the problem of time-intensive short answer grading. This research focuses simultaneously on performance, functionality and user experience, which is underlined by a triangulated approach. The evaluation results show comparable performance of NodeGrade on public datasets, even outperforming GPT-4 on the SemEval 2013 Task 7. Matching of NodeGrade's output with multiple human expert raters reveals some weaknesses regarding cases at the lower and upper boundary. In terms of user experience, the interviewed and observed students recognized both positive facets, like better learning support and helpful feedback, and negative sides, including technical limitations and lack of transparency. Overall, NodeGrade promises high potential for further practical use and testing in the field of software engineering education and automatic short answer grading.}, subject = {Software Engineering}, language = {en} }