Auflistung nach Autor:in "Morgenstern, Martin"
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- KonferenzbeitragNovice-friendly Feedback for Python Tasks in ArTEMiS(Proceedings of DELFI Workshops 2022, 2022) Kazimiers, Antje; Morgenstern, Martin; Leonhardt, Thiemo; Bergner, NadineSince Python is a popular language to teach programming to novices, there is a need for programming exercises which require knowledge of basic concepts of imperative programming. At the same time, educators have an interest in giving individual feedback which guides students to improve their results. We implement Python programming exercises in the automatic assessment system ArTEMiS and explore the possibilities to provide formative elaborated feedback and hints which support learning.
- KonferenzbeitragRequirements for a public digital forensics cloud(INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Morgenstern, Martin; Honekamp, WilfriedThe acquisition of digital evidence in criminal proceedings has become considerably more important in recent years. At the same time, the amount of data has also increased. The need to use cloud or big data solutions for digital forensics to be able to efficiently process the permanently increasing amount of data and number of cases has been recognised for years. By using public cloud providers, such as Amazon AWS and Microsoft Azure, to secure and analyse digital evidence, resources could be used in a scalable and flexible way. Forensic service providers have had to keep a large number of data carriers for forensic backups because they have to be available immediately in case of an emergency and cannot be procured only when needed.