@article{60664,
  abstract     = {{Les territoires de la Frise orientale avaient déjà été au 15e siècle cruciale pour l’arrondissement ou la limitation de la domination bourguignonne aux Pays-Bas. La large autonomie des Frisons orientaux en faisait un facteur d'insécurité qui pouvait menacer les Pays-Bas en cas de guerre. Charles Quint poursuivit la tentative du duc Charles le Téméraire d'encercler les comtes de Frise orientale et de rattacher les autres territoires frisons au complexe de possession bourguignon-néerlandais. A l'aide d’une extension des droits féodaux du Brabant et de Gueldre, ce coin devait être sécurisé afin de prévenir, entre autres, une invasion danoise. La présentation montrera comment Charles Quint étendit les droits féodaux pour intervenir entre 1530 et 1548 dans les violentes rivalités de la Frise orientale, créant ainsi une position d'intervention avancée qui dura jusqu`en 1795.}},
  author       = {{Huybrechts, Yves}},
  journal      = {{Publication du Centre Européen d'Études Bourguignonnes (XIVe-XVIe s.)}},
  location     = {{Paderborn}},
  publisher    = {{CEEB}},
  title        = {{{Les droits féodaux du Brabant et de Gueldre comme éléments de la politique d'intervention de Charles V en Frise orientale, 1530-1548 }}},
  volume       = {{66}},
  year         = {{2026}},
}

@article{67272,
  abstract     = {{<jats:title>Abstract</jats:title>
                  <jats:p>This survey paper opens a Special Issue of ZDM – Mathematics Education on “Enhancing data literacy for citizenship: Innovative approaches in data science and statistics education.” In this paper we aim to conceptualize ‘data literacy for citizenship’ (DataLitCit), going beyond prior conceptualizations of statistical and data literacies. We propose a working definition of DataLitCit that integrates notions of citizenship with the landscape of statistical and data literacies, and elaborate on four key areas that we consider particularly relevant for developing DataLitCit, including: criticality, data argumentation and evidentiary practices, models and modeling, and creating a bridge to AI literacy. We end with a discussion of the key contributions of the paper, and implications for education and future research directions.</jats:p>}},
  author       = {{Weiland, Travis and Biehler, Rolf and Gal, Iddo and Pfannkuch, Maxine}},
  issn         = {{1863-9690}},
  journal      = {{ZDM – Mathematics Education}},
  number       = {{6}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Conceptualizing Data Literacy for Citizenship}}},
  doi          = {{10.1007/s11858-026-01843-y}},
  volume       = {{58}},
  year         = {{2026}},
}

@book{57406,
  author       = {{Huybrechts, Yves}},
  isbn         = {{9789042956865}},
  pages        = {{298}},
  publisher    = {{Koninklijke Vlaamse Academie van Belgie voor Wetenschappen en Kunsten}},
  title        = {{{Die Österreichischen Niederlande und die Debatte über den Reichskammergerichtsunterhalt (1719–1740)  Eine Studie zur Reichspolitik Kaiser Karls VI.}}},
  volume       = {{43}},
  year         = {{2026}},
}

@inbook{67268,
  author       = {{Jenninger, Isabell and Taskaya, Ayce}},
  booktitle    = {{Ausbilder-Handbuch: Aufgaben, Konzepte, Praxisbeispiele}},
  editor       = {{Dietl, Stefan F. and Schmidt, Hermann and Weiß, Reinhold and Wittwer, Wolfgang}},
  isbn         = {{978-3-87156-165-8}},
  pages        = {{1--19}},
  publisher    = {{Deutscher Wirtschaftsdienst}},
  title        = {{{Ausbildung strategisch gestalten - mit der "Canvas Ausbildung Neu und Zukunftsorientiert denken" (CANZ)}}},
  year         = {{2026}},
}

@article{67271,
  author       = {{Fliegner, Inessa and Niggemeier, Johannes Bernd}},
  journal      = {{Medienimpulse}},
  number       = {{3}},
  pages        = {{35 Seiten}},
  title        = {{{Fortbildung und Kompetenzförderung zum Umgang mit Fake News bei Lehrkräften: Eine Latent-Class-Analyse auf Basis von ICILS 2023}}},
  doi          = {{https://doi.org/10.21243/mi-26-03-16 }},
  volume       = {{64}},
  year         = {{2026}},
}

@article{67277,
  abstract     = {{  Augmented Reality (AR) enables the presentation of models at the submicroscopic level during chemical hands-on experiments and may thus support learners in connecting macroscopic observations, submicroscopic processes, and symbolic representations. Such connections are essential for understanding chemical phenomena, yet many students struggle to establish them, leading to fragmented or purely descriptive explanations. However, little is known about how AR influences the structure and quality of learner-generated explanations during experimentation. In this quasi-experimental pre-post study, three conditions were compared in grade 11 chemistry classes: AR, animation, and filmstrip. Students (N = 104) worked in pairs on two acid-base experiments and created explanatory screencasts, which were analyzed in two complementary ways: network analysis was used to examine transitions between representational levels, while a separate holistic coding scheme was applied to assess overall explanatory quality. Across both experiments, students in the AR group integrated submicroscopic entities into their explanations more frequently than students in the other groups. However, this increased integration was not consistently associated with higher explanatory quality. The findings suggest that AR can foster representational integration, but that explicit scaffolding might be necessary to translate this into high-quality causal explanations.}},
  author       = {{Peeters, Hendrik and Habig, Sebastian and Fechner, Sabine}},
  issn         = {{1059-0145}},
  journal      = {{Journal of Science Education and Technology}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{The influence of augmented reality on learner-generated explanations during chemical hands-on experiments}}},
  doi          = {{10.1007/s10956-026-10354-0}},
  year         = {{2026}},
}

@book{65644,
  abstract     = {{<jats:p>Eine zentrale Herausforderung in der Professionalisierung pädagogischer Fach- und Lehrkräfte besteht in der Relation von eher theoretischen und praktischen Ausbildungsbestandteilen. Beispielsweise fühlen sich angehende Lehrkräfte durch ihr Studium häufig nicht ausreichend auf die beruflichen Anforderungen vorbereitet. Daher wird verstärkt versucht, Curricula von Ausbildungs- und Studiengängen deutlicher an den tatsächlichen professionellen Handlungsanforderungen zu orientieren und auch in frühen Ausbildungsphasen verstärkt Elemente beruflicher Praxis zu integrieren. 
Dieser Band nimmt die Handlungsorientierung in der Ausbildung von Lehrkräften und pädagogischen Fachkräften theoretisch-konzeptionell sowie empirisch in den Blick. Zudem werden innovative Lehransätze aufgezeigt, die den Fokus auf eine Stärkung einer solchen Handlungsorientierung legen, z.B. durch simulationsbasierte Lern- und Prüfungsformate.
Es handelt sich um den zweiten Band der Reihe Paderborner Beiträge zur Bildungsforschung und Lehrkräftebildung, die von der PLAZ – Professional School of Education herausgegeben wird.</jats:p>}},
  editor       = {{Vogelsang, Christoph and Grotegut, Lea and Bruns, Julia and Riese, Josef and Fechner, Sabine}},
  isbn         = {{9783818801052}},
  publisher    = {{Waxmann Verlag GmbH}},
  title        = {{{Handlungsorientierung in der Ausbildung von Lehrkräften und pädagogischen Fachkräften. Konzeptionen und Forschungsperspektiven}}},
  doi          = {{10.31244/9783818851057}},
  year         = {{2026}},
}

@inbook{62971,
  author       = {{Bender, Roland and Witte, Thomas and Hattermann, Matthias and Fechner, Sabine}},
  booktitle    = {{Neue Materialien für einen realitätsbezogenen Mathematikunterricht}},
  editor       = {{Siller, Hans-Stefan and Vorhölzer, Katrin}},
  isbn         = {{634892}},
  pages        = {{113--126}},
  publisher    = {{Springer}},
  title        = {{{Der Logarithmus zur Bestimmung des pH-Wert-Verlaufs einer Titration: Ein fächerverbindender Unterrichtsvorschlag unter Verwendung digitaler Werkzeuge}}},
  doi          = {{https://doi.org/10.1007/978-3-662-72949-6_12}},
  year         = {{2026}},
}

@book{67205,
  author       = {{Birkner, Stephanie and Duschka, Nicole and Freiknecht, Marian and Gude, Gina and Jenninger, Isabell and Kiepe, Karina and Kleinelsen, Sarah and Nehe, Meret and Pries, Michael and Rohlfsen, Céline and Salerno, Sofia and Schellstede, Chris and Steinborn, Amanda and Sturm, Ronja and Taskaya, Ayce}},
  isbn         = {{978-3-8325-6070-6}},
  publisher    = {{Logos Verlag}},
  title        = {{{Begegnen, Befähigen, Natürlich Entwickeln. Warum Berufsbildung für nachhaltige Entwicklung (BBNE) nicht nur eine Lobby braucht}}},
  year         = {{2026}},
}

@inproceedings{62885,
  author       = {{Osnabrügge, Malin and Tenberge, Claudia and Fechner, Sabine}},
  keywords     = {{Artificial intelligence, primary education, science and technology education}},
  location     = {{Norrköping, Sweden}},
  title        = {{{Artificial Intelligence in primary science and technology education with a focus on implementation of AI in a learning context – Results of a scoping review}}},
  year         = {{2026}},
}

@book{67091,
  editor       = {{Schulze, Max}},
  isbn         = {{978-3-95476-872-1}},
  keywords     = {{Malerei, Zeichnung}},
  pages        = {{308}},
  publisher    = {{Distanz}},
  title        = {{{ Ida Büngener 1963 – 2024 Selected Works }}},
  year         = {{2026}},
}

@article{62948,
  author       = {{Pollmeier, Pascal and Ponath, Jonas and Bohrmann-Linde, Claudia and Rubner, Isabel and Sommer, Katrin and Fechner, Sabine}},
  journal      = {{CHEMKON}},
  keywords     = {{Digital, Digitalisierung, Künstliche Intelligenz, KI, Messsensoren, Fortbildung, Lehrkräfte, Chemie}},
  number       = {{5}},
  pages        = {{138--144}},
  title        = {{{Digital und praxisnah: Was Chemielehrkräfte sich von (digitalisierungsbezogenen) Fortbildungen wünschen}}},
  doi          = {{https://doi.org/10.1002/ckon.70019}},
  volume       = {{33}},
  year         = {{2026}},
}

@article{67066,
  author       = {{Kullmer, Gunter and Krome, Sven and Ostwald, Richard}},
  issn         = {{0013-7944}},
  journal      = {{Engineering Fracture Mechanics}},
  publisher    = {{Elsevier BV}},
  title        = {{{A new approach for the formulaic description of the crack growth rate curve for long cracks in aluminum alloys}}},
  doi          = {{10.1016/j.engfracmech.2026.112568}},
  volume       = {{345}},
  year         = {{2026}},
}

@book{62821,
  editor       = {{Vogelsang, Christoph and Grotegut, Lea and Bruns, Julia and Riese, Josef and Fechner, Sabine}},
  publisher    = {{Waxmann}},
  title        = {{{Handlungsorientierung in der Ausbildung von Lehrkräften und pädagogischen Fachkräften}}},
  doi          = {{https://doi.org/10.31244/9783818851057}},
  volume       = {{2}},
  year         = {{2026}},
}

@article{62957,
  author       = {{Elsner, Julia and Tenberge, Claudia and Fechner, Sabine}},
  journal      = {{Zeitschrift für Didaktik der Naturwissenschaften}},
  number       = {{1}},
  pages        = {{1--17}},
  title        = {{{Modellieren und Denken im Diskontinuum}}},
  doi          = {{10.1007/s40573-026-00194-1}},
  volume       = {{32}},
  year         = {{2026}},
}

@article{62956,
  author       = {{Pollmeier, Pascal and Schulte, Talea and Ponath, Jonas and Fechner, Sabine}},
  journal      = {{Naturwissenschaften im Unterricht - Chemie}},
  keywords     = {{Digital, Digitalisierung, Nachhaltigkeit, Bildung für nachhaltige Entwicklung, BNE, Lernumgebungen}},
  title        = {{{Lernprozesse im Chemieunterricht durch kontextorientierte digitale Lernumgebungen mit Messwerterfassung unterstützen}}},
  year         = {{2026}},
}

@inproceedings{67295,
  abstract     = {{In increasingly volatile and uncertain markets, corporate resilience has become a critical capability in strategic product planning. Companies face significant challenges in systematically monitoring and interpreting heterogeneous environmental data originating from diverse sources, formats, and temporal contexts. While predefined workflows and decision trees can support strategic analysis, they often lack the flexibility required to cope with dynamic market conditions and foresightrelated data from extreme dispersed and heterogeneous sources. This paper proposes a method to enhance corporate resilience through the application of generic, reusable AI-based workflows in strategic product planning. The approach integrates Data Science and Artificial Intelligence methods into modular, visually modelled workflows that enable hybrid human-AI decision-making. Based on a systematic literature review and an analysis of industrial challenges, key success factors and resilience criteria are identified. These insights are used to develop a method that supports internal and external analyses, scenario-based strategy development, and adaptive implementation monitoring within a generic workflow structure. The method leverages techniques such as machine learning and generative AI to process structured and unstructured data, identify patterns, and support real-time strategic assessments. Validation with decision-makers from medium-sized companies demonstrates improved transparency, repeatability, and cross-functional collaboration compared to predefined workflows.}},
  author       = {{Gräßler, Iris and Özcan, Deniz}},
  booktitle    = {{1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University}},
  editor       = {{Gräßler, Iris}},
  location     = {{Paderborn}},
  publisher    = {{LibreCat University}},
  title        = {{{Corporate resilience through generic AI-based workflows in strategic product planning}}},
  doi          = {{10.17619/UNIPB/1-2636}},
  volume       = {{1}},
  year         = {{2026}},
}

@inproceedings{67300,
  abstract     = {{Deep neural networks (DNNs) are vulnerable to small adversarial perturbations, which are tiny changes to the input data that appear insignificant but cause the model to produce drastically different outputs. Many defense methods require modifying model architectures during evaluation or performing test-time data purification. This not only introduces additional complexity but is often architecture-dependent. We show, however, that robust feature learning during training can significantly enhance DNN robustness. We propose MOREL, a multi-objective approach that aligns natural and adversarial features using cosine similarity and multi-positive contrastive losses to encourage similar features for same-class inputs. Extensive experiments demonstrate that MOREL significantly improves robustness against both white-box and black-box attacks. Our code is available at https://github.com/salomonhotegni/MOREL.}},
  author       = {{Hotegni, Sedjro Salomon and Peitz, Sebastian}},
  booktitle    = {{Artificial Neural Networks and Machine Learning – ICANN 2025}},
  editor       = {{Senn, Walter and Sanguineti, Marcello and Saudargiene, Ausra and Tetko, Igor V. and Villa, Alessandro E. P. and Jirsa, Viktor and Bengio, Yoshua}},
  isbn         = {{978-3-032-04558-4}},
  keywords     = {{own, own-conference}},
  pages        = {{442–454}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Enhancing Adversarial Robustness Through Multi-objective Representation Learning}}},
  doi          = {{10.1007/978-3-032-04558-4_35}},
  year         = {{2026}},
}

@article{67302,
  abstract     = {{Data-driven surrogate models provide fast and fully differentiable approximations of complex dynamical systems. In this work, we develop such surrogates for the Rayleigh–Bénard convection (RBC), which governs thermally driven flows in natural and industrial environments. Specifically, the proposed models approximate the discrete-time flow map of the RBC system, advancing the full system state by a fixed time step. We train Fourier Neural Operator (FNO)–based models to learn the dynamics of RBC in two and three dimensions and compare them to a convolutional U-Net baseline and a Koopman-based Linear Recurrent Autoencoder Network (LRAN). The two-dimensional system serves as a baseline for the more challenging three-dimensional case, which exhibits increased spatial complexity and turbulent dynamics. Across all settings, FNO-based models consistently outperform the LRAN, while achieving performance comparable to the U-Net in several regimes. Incorporating spatio-temporal inputs via FNOs leads to improved long-term prediction accuracy, particularly for turbulent flows. The physical fidelity of the predictions is assessed using convective heat flux statistics, profiles, and fluctuations, showing that FNOs most closely reproduce the ground-truth flow statistics. In addition, we demonstrate that FNOs enable zero-shot super-resolution across unseen spatial discretizations, a capability not shared by the convolutional baselines. These results highlight the potential of neural operator–based models as accurate, physically consistent, and resolution-independent surrogates for downstream tasks such as flow control.}},
  author       = {{Markmann, Thorben and Straat, Michiel and Peitz, Sebastian and Hammer, Barbara}},
  issn         = {{0925-2312}},
  journal      = {{Neurocomputing}},
  keywords     = {{own, own-journal, erc}},
  pages        = {{133201}},
  title        = {{{Fourier neural operators as data-driven surrogates for two- and three-dimensional Rayleigh–Bénard convection}}},
  doi          = {{10.1016/j.neucom.2026.133201}},
  volume       = {{679}},
  year         = {{2026}},
}

@inproceedings{67299,
  author       = {{Harder, Hans and Vishwasrao, Abhijeet and Guastoni, Luca and Vinuesa, Ricardo and Peitz, Sebastian}},
  booktitle    = {{Proceedings of The 8th Annual Learning for Dynamics and Control Conference}},
  editor       = {{Sukhatme, Gaurav and Lindemann, Lars and Tu, Stephen and Wierman, Adam and Atanasov, Nikolay}},
  keywords     = {{own, own-conference, erc}},
  pages        = {{1601–1619}},
  publisher    = {{PMLR}},
  title        = {{{Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems}}},
  doi          = {{10.48550/arXiv.2511.04641}},
  volume       = {{331}},
  year         = {{2026}},
}