@book{56446, author = {{Teubert, Hilke}}, publisher = {{Zugriff unter https://wimasu.de/8-schoene-kennenlern-und-kooperationsspiele-fuer-den-sportunterricht/}}, title = {{{8 schöne Kennenlern- und Kooperationsspiele für den Sportunterricht}}}, year = {{2022}}, } @inbook{56447, author = {{Teubert, Hilke}}, booktitle = {{Kompetenzorientierung und Bewegungsexpertise im Turnen. 11. Jahrestagung der dvs-Kommission Gerätturnen vom 01.-03.09.2020}}, editor = {{Menze-Sonneck, Andrea and Vinken, Pia Maria}}, pages = {{111--119}}, publisher = {{Feldhaus Verlag}}, title = {{{Einblicke in die Online-Lehre der Fachausbildung Bewegen an Geräten im „Corona-Sommersemester 2020“ an der Universität Paderborn}}}, year = {{2022}}, } @inbook{56886, author = {{Prietzel, Malte}}, booktitle = {{Die Habsburger im Mittelalter. Aufstieg einer Dynastie, hg. von Alexander Schubert}}, pages = {{104--111}}, title = {{{Der König im Krieg. Die Schlachten von Dürnkrut und Göllheim}}}, year = {{2022}}, } @book{56469, author = {{Teubert, Hilke}}, publisher = {{Eingeschränkter Zugriff am DATUM unter https://wimasu.de/shop/kleine-spiele-kennenlernen-kooperieren/}}, title = {{{Kennenlernen und Kooperieren. Die Große Spielesammlung für den Sportunterricht.}}}, year = {{2022}}, } @inproceedings{50288, author = {{Daniel-Söltenfuß, Desiree and Breuing, Friederike}}, location = {{Universität Paderborn}}, title = {{{Innovation and transfer processes in the German VET-system. Insights into the meta-research project 'ITiB'}}}, year = {{2022}}, } @misc{43002, author = {{Schott, Alicia and Neukötter, Moritz}}, title = {{{Entwicklung einer Anlage zur Pulverabscheidung im Filament Extension Atomization Prozess}}}, year = {{2022}}, } @article{30735, abstract = {{While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.}}, author = {{Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}}, issn = {{1019-6781}}, journal = {{Electronic Markets}}, keywords = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Systematizing the lexicon of platforms in information systems: a data-driven study}}}, doi = {{10.1007/s12525-022-00530-6}}, year = {{2022}}, } @inproceedings{56251, abstract = {{Statistical reasoning and the confrontation with first ideas of uncertainty can already be enhanced in primary school. A challenge is how to relate theoretical-combinatorial aspects to empirical frequency aspects, given that fraction concepts are usually not available at primary school. In the frame of a Design Based Research approach we have designed and realized a teaching sequence consisting of seven lessons to develop statistical reasoning about uncertainty of grade 4 students (age 10-11). To supervise their learning processes we collected data on different levels: (a) written pre/post-tests, (b) working notes after each lesson and (c) interviews after the teaching unit. In this paper we will mainly present the design of teaching unit and first results from the analysis of pre- and posttests.}}, author = {{Frischemeier, Daniel and Biehler, Rolf}}, booktitle = {{Decision Making Based on Data Proceedings IASE 2019 Satellite Conference}}, publisher = {{International Association for Statistical Education}}, title = {{{Design of a teaching unit to develop primary school students ́ reasoning about uncertainty in multi-step chance experiments}}}, doi = {{10.52041/srap.19304}}, year = {{2022}}, } @inproceedings{26539, abstract = {{In control design most control strategies are model-based and require accurate models to be applied successfully. Due to simplifications and the model-reality-gap physics-derived models frequently exhibit deviations from real-world-systems. Likewise, purely data-driven methods often do not generalise well enough and may violate physical laws. Recently Physics-Guided Neural Networks (PGNN) and physics-inspired loss functions separately have shown promising results to conquer these drawbacks. In this contribution we extend existing methods towards the identification of non-autonomous systems and propose a combined approach PGNN-L, which uses a PGNN and a physics-inspired loss term (-L) to successfully identify the system's dynamics, while maintaining the consistency with physical laws. The proposed method is demonstrated on two real-world nonlinear systems and outperforms existing techniques regarding complexity and reliability.}}, author = {{Götte, Ricarda-Samantha and Timmermann, Julia}}, booktitle = {{2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)}}, keywords = {{data-driven, physics-based, physics-informed, neural networks, system identification, hybrid modelling}}, location = {{Cairo, Egypt}}, pages = {{67--76}}, title = {{{Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering}}}, doi = {{10.1109/AIRC56195.2022.9836982}}, year = {{2022}}, } @inproceedings{31066, abstract = {{While trade-offs between modeling effort and model accuracy remain a major concern with system identification, resorting to data-driven methods often leads to a complete disregard for physical plausibility. To address this issue, we propose a physics-guided hybrid approach for modeling non-autonomous systems under control. Starting from a traditional physics-based model, this is extended by a recurrent neural network and trained using a sophisticated multi-objective strategy yielding physically plausible models. While purely data-driven methods fail to produce satisfying results, experiments conducted on real data reveal substantial accuracy improvements by our approach compared to a physics-based model. }}, author = {{Schön, Oliver and Götte, Ricarda-Samantha and Timmermann, Julia}}, booktitle = {{14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)}}, keywords = {{neural networks, physics-guided, data-driven, multi-objective optimization, system identification, machine learning, dynamical systems}}, location = {{Casablanca, Morocco}}, number = {{12}}, pages = {{19--24}}, title = {{{Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems}}}, doi = {{https://doi.org/10.1016/j.ifacol.2022.07.282}}, volume = {{55}}, year = {{2022}}, } @inproceedings{29803, abstract = {{Ultrasonic wire bonding is a solid-state joining process used to form electrical interconnections in micro and power electronics and batteries. A high frequency oscillation causes a metallurgical bond deformation in the contact area. Due to the numerous physical influencing factors, it is very difficult to accurately capture this process in a model. Therefore, our goal is to determine a suitable feed-forward control strategy for the bonding process even without detailed model knowledge. We propose the use of batch constrained Bayesian optimization for the control design. Hence, Bayesian optimization is precisely adapted to the application of bonding: the constraint is used to check one quality feature of the process and the use of batches leads to more efficient experiments. Our approach is suitable to determine a feed-forward control for the bonding process that provides very high quality bonds without using a physical model. We also show that the quality of the Bayesian optimization based control outperforms random search as well as manual search by a user. Using a simple prior knowledge model derived from data further improves the quality of the connection. The Bayesian optimization approach offers the possibility to perform a sensitivity analysis of the control parameters, which allows to evaluate the influence of each control parameter on the bond quality. In summary, Bayesian optimization applied to the bonding process provides an excellent opportunity to develop a feedforward control without full modeling of the underlying physical processes.}}, author = {{Hesse, Michael and Hunstig, Matthias and Timmermann, Julia and Trächtler, Ansgar}}, booktitle = {{Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)}}, isbn = {{978-989-758-549-4}}, keywords = {{Bayesian optimization, Wire bonding, Feed-forward control, model-free design}}, location = {{Online}}, pages = {{383--394}}, title = {{{Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design}}}, year = {{2022}}, } @inbook{57037, abstract = {{Es wird zur Diskussion gestellt, ob Sozialplanung, aber auch Soziale Arbeit, eine naiv-positive Auffassung vom Begriff „Netzwerk“ haben. Der Begriff ist trügerisch, da er einerseits analytisch-begrifflich nicht trennscharf zu bestimmen ist. Andererseits sind mit dem Bild des Netzwerks normative Aussagen impliziert, die in hohem Maße widersprüchlich sind. Bezieht sich das Bild des Netzwerks nicht auf Sachverhalte und Phänomene, die mit anderen Begrifflichkeiten exakter, weil theoretisch und empirisch verweisungsstärker, zu bestimmen wären?}}, author = {{Ristau, Alexander and Krüger, Tim and Winkler, Michael}}, booktitle = {{Schlüsselbegriffe der Sozialplanung und ihre Kritik}}, editor = {{Rund, Mario and Peters, Friedhelm}}, isbn = {{978-3-658-38398-5}}, pages = {{129--138}}, publisher = {{Springer VS }}, title = {{{Netzwerke}}}, doi = {{10.1007/978-3-658-38399-2}}, year = {{2022}}, } @article{57036, abstract = {{In diesem Artikel wird in Bezug auf Fragen des Verstehens diskutiert, ob es der Sozialen Arbeit nicht guttäte, sich von anderen Quellen als den eigenen Theorien inspirieren, vielleicht sogar provozieren zu lassen. Dazu wird zunächst das Verhältnis zwischen Sozialer Arbeit und Belletristik, der ›schönen Literatur‹, in den Blick genommen. }}, author = {{Ristau, Alexander}}, issn = {{0340-8469}}, journal = {{Sozialmagazin}}, number = {{8}}, pages = {{61--77}}, publisher = {{Beltz}}, title = {{{Soziale Arbeit über Belletristik verstehen}}}, doi = {{10.3262/SM2208061}}, year = {{2022}}, } @article{49461, author = {{Trang, Simon Thanh-Nam and Mandrella, M. and Marrone, M. and Kolbe, L.}}, journal = {{European Journal of Information Systems (VHB Jourqual 3 A)}}, pages = {{166--187}}, title = {{{Co-creating business value through IT-business operational alignment in inter-organisational relationships: Empirical evidence from regional networks}}}, volume = {{31}}, year = {{2022}}, } @inbook{32417, author = {{Tönsing, Johanna}}, booktitle = {{Interpretationsverfahruen der germanistischen Literaturdidaktik und didaktische Referenzkonzepte}}, editor = {{Bernhardt, Sebastian and Hardtke, Thomas}}, title = {{{(K)eine kinderleichte Gattung: Konsequenzen einer kulturwissenschaftlich informierten Märchendidaktik}}}, year = {{2022}}, } @unpublished{58185, abstract = {{We consider a variant of the ring of components of Hurwitz spaces introduced by Ellenberg, Venkatesh and Westerland. By focusing on Hurwitz spaces classifying covers of the projective line, the resulting ring of components is commutative, which lets us study it from the point of view of algebraic geometry and relate its geometric properties to numerical invariants involved in our previously obtained asymptotic counts. Specifically, we describe a stratification of the prime spectrum of the ring of components, and we compute the dimensions and degrees of the strata. Using the stratification, we give a complete description of the spectrum in some cases.}}, author = {{Seguin, Beranger Fabrice}}, booktitle = {{arXiv:2210.12793}}, title = {{{The Geometry of Rings of Components of Hurwitz Spaces}}}, year = {{2022}}, } @article{58201, author = {{Beutner, Marc and Grüttner, Niclas Christian}}, journal = {{Kölner Zeitschrift für Wirtschaft und Pädagogik.}}, number = {{73}}, pages = {{69--104}}, publisher = {{Kölner Arbeitskreis Wirtschaft/Pädagogik}}, title = {{{Konsumpädagogik und nachhaltige Bildung – Ein Spannungsfeld zwischen Bildung, Ökonomie, Nachhaligkeit und das Recht auf eine persönliche Entwicklung. }}}, volume = {{38}}, year = {{2022}}, } @article{48780, abstract = {{Explainable Artificial Intelligence (XAI) has mainly focused on static learning tasks so far. In this paper, we consider XAI in the context of online learning in dynamic environments, such as learning from real-time data streams, where models are learned incrementally and continuously adapted over the course of time. More specifically, we motivate the problem of explaining model change, i.e. explaining the difference between models before and after adaptation, instead of the models themselves. In this regard, we provide the first efficient model-agnostic approach to dynamically detecting, quantifying, and explaining significant model changes. Our approach is based on an adaptation of the well-known Permutation Feature Importance (PFI) measure. It includes two hyperparameters that control the sensitivity and directly influence explanation frequency, so that a human user can adjust the method to individual requirements and application needs. We assess and validate our method’s efficacy on illustrative synthetic data streams with three popular model classes.}}, author = {{Muschalik, Maximilian and Fumagalli, Fabian and Hammer, Barbara and Huellermeier, Eyke}}, issn = {{0933-1875}}, journal = {{KI - Künstliche Intelligenz}}, keywords = {{Artificial Intelligence}}, number = {{3-4}}, pages = {{211--224}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Agnostic Explanation of Model Change based on Feature Importance}}}, doi = {{10.1007/s13218-022-00766-6}}, volume = {{36}}, year = {{2022}}, } @inbook{58243, author = {{Lehberger, Regine}}, booktitle = {{Forschen + Lernen. Wissenschaftliches Denken als Voraussetzung für problemlösungsorientiertes Handeln. }}, publisher = {{UniPrint}}, title = {{{Digitale Medien in Schule und Unterricht}}}, doi = {{10.25819/UBSI/10158}}, year = {{2022}}, } @misc{37082, author = {{Peckhaus, Volker}}, booktitle = {{Mathematical Reviews, MR4090716}}, title = {{{Serfati, Michael, Leibniz and the Invention of Mathematical Transcendence, Franz Steiner Verlag: Stuttgart 2018 (Studia Leibnitiana Sonderheft; 54). }}}, year = {{2022}}, }