@inbook{66842,
abstract = {{AnnoPy ist ein digitales Werkzeug, um kollaborativ Texte zu lesen, zu erschließen und zu analysieren. Es ist für die Präsenzlehre konzipiert und unterstützt Lehrende dabei, den Übergang von der individuellen Auseinandersetzung mit wissenschaftlichen Texten hin zu einer kollaborativ-sozialen Aushandlung des Gelesenen in Lehrveranstaltungen zu organisieren und zu strukturieren. Im Beitrag wird das digitale kollaborative Tool AnnoPy vorgestellt und gezeigt, welche Potenziale sich für die Analyse von Daten über Lernende durch die Integration von KI-basierter Learning Analytics in das Tool ergeben. Anhand von exemplarischen Daten aus einer Vorlesung der Mathematikdidaktik wird zunächst vorgestellt, wie in AnnoPy eine algorithmisch-händische Analyse und Datenauswertung erfolgte, um dann diese Art der Auswertung mit einer KI-gestützten Auswertung, bei der ein MCP-Server eingebunden wurde, zu vergleichen.}},
author = {{Scholle, Oliver and Rezat, Sara and Rezat, Sebastian and Niehus, Dominik}},
booktitle = {{Learning Analytics, Artificial Intelligence und Data Mining in der Hochschulbildung: Beiträge zur Learning AID 2025}},
editor = {{Leschke, Jonas and Queckenberg, Robert and Persike, Malte}},
isbn = {{978-3-8376-8045-4}},
pages = {{171–182}},
publisher = {{transcript}},
title = {{{AnnoPy – Potenziale von KI-basierter Learning Analytics für die Förderung wissenschaftlicher Textkompetenz}}},
doi = {{10.14361/9783839458761}},
year = {{2026}},
}
@article{66836,
abstract = {{This qualitative case study investigates how automated feedback from a widely accessible digital curriculum resource influences students’ mathematics learning. Drawing on a dialogic feedback framework, the study analyzes students’ feedback processes in an ecologically valid learning context. Grounded in a sociocultural perspective, the framework integrates Carless’ dialogic conceptualization of feedback, Shute’s feedback typology, and Vergnaud’s scheme theory. Eight eighth-graders from a German secondary school worked individually on percentage problems at home, video-recorded via online conferencing. Data included screen recordings and think-aloud protocols, which were analyzed using qualitative text analysis. Results reveal large individual differences in feedback processes—students vary in when and how they access feedback messages and how they make sense of them. Successfully solving a task after feedback does not always indicate understanding; in some cases, feedback aided procedural completion without conceptual insight. The effectiveness depended on the alignment between task design, feedback message content, and students’ actual difficulties. The study concludes that qualitative analysis of feedback processes with digital technologies in ecologically valid settings is necessary to target specific student difficulties and promote learning.}},
author = {{Rezat, Sebastian}},
issn = {{1863-9690}},
journal = {{ZDM – Mathematics Education}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{Students’ mathematical feedback processes using a digital curriculum resource: A qualitative perspective}}},
doi = {{10.1007/s11858-026-01821-4}},
year = {{2026}},
}
@inbook{66846,
author = {{Frankemölle, Bernd}},
booktitle = {{Die Wirksamkeit von Lehr-/Lernmethoden im Fremdsprachenunterricht. Empirische Befunde für Lehrkräfte und Unterricht}},
editor = {{Wirag, Andreas}},
pages = {{103--118}},
publisher = {{Narr/Francke/Attempto}},
title = {{{Kulturelles Lernen im Fremdsprachenunterricht unterstützen}}},
doi = {{10.24053/9783381144723}},
year = {{2026}},
}
@article{66480,
abstract = {{Background – This study draws on data from a larger international project exploring parents' perceptions of the education of their children with special educational needs and/or disabilities (SEND). Using responses from 1, 309 parents in Australia, England, Germany, and Norway it examines parental satisfaction with mainstream and special schools, and parents' school placement preferences, including willingness to change schools. Parental satisfaction is assessed as an overall evaluation of how well the child's school placement meets their needs, without distinguishing between specific aspects of the school experience. The study also explores whether the child's level of support is associated with these perceptions. Based on a human rights perspective, we highlight parents’ perspectives and their role in the development of more inclusive education systems, without promoting one model of schooling over another. Methods – Responses from 1, 309 parents across four countries were analysed using descriptive and inferential statistics. Non-parametric tests compared satisfaction across school types, chi-squared tests assessed associations with willingness to change schools, and binary logistic regression examined whether level of support was associated with parents' willingness to change school placement. Results – Parents in England, Germany, and Norway reported higher satisfaction with special schools than with mainstream schools. No statistically significant difference was observed in Australia. Parents of children in special schools were less likely to report considering changing schools, particularly in England and Norway. Higher pupil support needs were significantly associated with parents’ willingness to change school across the combined sample. These findings suggest that parental satisfaction with their child's education and their preferences regarding school placement may be shaped by both school type and how well pupils' support needs are perceived to be met. Discussion and conclusion – The role of parents as key stakeholders in developing inclusive education systems, consistent with the Convention on the Rights of Persons with Disabilities (CRPD) is emphasised. While parents in special schools in three of the four countries reported higher satisfaction, the reasons for this remain unclear. Understanding the factors shaping parental satisfaction is essential for developing inclusive and responsive learning environments. These findings offer a starting point for future research on how education systems can better align policy commitments with families’ lived experiences.}},
author = {{Johansson, Veslemøy Maria Fossum and Gibson, Suanne and Woodcock, Stuart and Dechsling, Anders and Kullmann, Harry and Herrebrøden, Marte Karoline and Ulriksen, Line Britt and Nordahl-Hansen, Anders}},
issn = {{2504-284X}},
journal = {{Frontiers in Education}},
keywords = {{human rights, inclusion, inclusive education, international study, parents, school development, special educational needs}},
publisher = {{Frontiers Media SA}},
title = {{{Parental (dis)satisfaction with school placement to achieve inclusion: a cross-country comparison}}},
doi = {{10.3389/feduc.2026.1710708}},
volume = {{11}},
year = {{2026}},
}
@inproceedings{66547,
abstract = {{Tacit knowledge is particularly valuable in product engineering. Experiences reside in minds of employees and are not systematically documented but could have a significant influence on sustainable product engineering. Existing approaches do not offer sufficient support for harnessing technical tacit knowledge regarding sustainable product engineering. In this paper a three-step method is presented: The method contains knowledge acquisition, requirements extraction und requirements validation for quality assurance. Acquisition is performed by support artifacts like interview guidelines. Extraction is supported by Artificial Intelligence, converting statements into requirements. These requirements are validated using a specific questionnaire. The developed approach is applied in a funded project of the European Union (EU) with automotive industry partners. The method supports product engineers to collect tacit knowledge from experienced employees, transform unsystematic knowledge into standardized technical requirements and validate them. Application of this method enables creation of validated requirements that can be applied throughout the company and are not exclusively dependent on a single employee.}},
author = {{Gräßler, Iris and Mansheim, Johanna and Pfeifer, Jan Niklas}},
booktitle = {{1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University}},
editor = {{Graessler, Iris}},
keywords = {{Tacit knowledge, Sustainability, Product Engineering, Artificial Intelligence}},
location = {{Paderborn}},
pages = {{229--238}},
publisher = {{Universitätsbibliothek}},
title = {{{Harnessing tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence}}},
doi = {{10.17619/UNIPB/1-2639}},
volume = {{1}},
year = {{2026}},
}
@article{66870,
abstract = {{Janus metasurfaces have attracted considerable attention in encrypted communication, imaging, and display due to their unusual bidirectional asymmetric optical manipulation characteristics. Particularly, their multifunctionalization is of great significance for enhancing the compactness and integration of optical systems. However, the realization of multifunctional Janus metasurfaces in the optical band still faces enormous difficulties and challenges, which are essentially limited by the anti-error design and processing methods of multi-layer cascade metasurfaces. Here, a triple-layer Janus metasurface based on cascaded plasmonic nano-antenna arrays fully buried in SiO2 is constructed. Among them, the cascaded plasma nano-antenna consists of two types of enantiomers for each wavelength. Each enantiomer is fabricated with two layers of L-shaped nanostructures with phase modulation and one layer of dimer nanostructures with polarization selection stacked alternately along the optical axis. We experimentally show that the Janus metasurface achieves bidirectional asymmetric multi-channel holographic encryption, simultaneously using propagation direction, phase, polarization, and wavelength for the first time in the near-infrared band, which is expected to provide a frontier route for multifunctional optical displays, high-level optical information encryption, and large-capacity full-duplex communication.}},
author = {{Wang, Guocui and Geromel, René and Wei, Qunshuo and Zhao, Ruizhe and Li, Xiaowei and Zentgraf, Thomas and Huang, Lingling}},
issn = {{2577-5421}},
journal = {{Advanced Photonics}},
number = {{05}},
pages = {{1--11}},
publisher = {{SPIE-Intl Soc Optical Eng}},
title = {{{Asymmetric multi-channel holography by cascaded plasmonic Janus metasurfaces}}},
doi = {{10.1117/1.ap.8.5.056006}},
volume = {{8}},
year = {{2026}},
}
@inproceedings{66885,
abstract = {{We revisit the under-explored phenomenon of syntactic complexity convergence in dialogue. Extending prior topic-level analyses to full conversations, we examine five human-human datasets and a set of human-LLM dialogues. We integrate and evaluate a multidimensional set of syntactic complexity metrics to quantify structural variation in dialogue. Our analyses reveal robust syntactic complexity convergence across human-human datasets, especially in task-oriented interactions, and statistical tests confirm that these effects are not due to chance. In contrast, human-LLM dialogues show no significant convergence under individual metrics; however, linear-CKA uncovers a distinct cross-metric convergence pattern. Motivated by these differences, we use syntactic complexity as a feature for detecting LLM-involved dialogue, achieving 96\% accuracy. Our classification results demonstrate its potential without relying on likelihood-based signals such as surprisal, which require a language model as the estimator.}},
author = {{Wang, Yu and Chen, Yanran and Wang, Yifan and Eger, Steffen and Buschmeier, Hendrik}},
booktitle = {{Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing}},
location = {{Budapest, Hungary}},
publisher = {{ACL}},
title = {{{Syntactic complexity convergence in dialogue: Analysis of the phenomenon and application to LLM detection}}},
year = {{2026}},
}
@article{63579,
abstract = {{This study examines the impact of tax certainty through advance tax rulings (ATRs) on firms’ risky investments under cash flow and tax uncertainty. Both firms and governments have expressed growing concern about increasing tax uncertainty, due to frequent tax reforms and the difficulty in applying ambiguous tax laws and anticipating audit outcomes. One remedy is the provision of ATRs, which offer upfront clarification of tax issues to reduce tax uncertainty and increase risk-taking. We analyze how these uncertainties, along with different tax rates, loss offset provisions, and ATR fees affect investment strategies. Our results suggest, first, that ATRs encourage riskier investments, particularly in tax regimes with generous loss offsets. We identify optimal ranges of ATR fees that benefit firms and tax authorities. Second, we show that it may be beneficial to design ATRs with a low or negative fee. Third, our study reveals a U-shaped relationship between firms’ risk aversion and their willingness to pay for tax certainty, with willingness being higher for firms at low or high levels of risk aversion. In contrast, moderately risk-averse firms are only willing to accept low fees. Overall, our results highlight the importance of low-cost tax certainty combined with generous loss offset provisions to encourage risky investments.}},
author = {{Chen, An and Hieber, Peter and Sureth-Sloane, Caren}},
journal = {{International Tax and Public Finance}},
number = {{4}},
pages = {{1250--1287}},
title = {{{How Much to Pay for Tax Certainty? The Role of Advance Tax Rulings for Risky Investment under Loss Offset and Tax Uncertainty}}},
doi = {{10.1007/s10797-025-09930-8}},
volume = {{33}},
year = {{2026}},
}
@inproceedings{66955,
author = {{Lutters, Nicole and Riese, Julia and Boz, Özgün Alkim}},
booktitle = {{Book of Full Paper 13th International Conference on Distillation & Absorption}},
pages = {{709--714}},
title = {{{Electrification of Separation Column with 3D-Printed Ceramic Packings}}},
doi = {{10.83455/2026DISTILLATIONADSORPTION}},
year = {{2026}},
}
@inproceedings{66954,
author = {{Hochhaus, Thorben and Riese, Julia and Grünewald, Marcus}},
booktitle = {{Book of Full Paper 13th International Conference on Distillation & Absorption}},
pages = {{727--732}},
title = {{{Screening for Heat Pump Integration Potentials in Chemical Plants}}},
doi = {{10.83455/2026DISTILLATIONADSORPTION}},
year = {{2026}},
}
@inproceedings{66956,
author = {{Riese, Julia}},
booktitle = {{Book of Full Paper 13th International Conference on Distillation & Absorption}},
pages = {{14--19}},
title = {{{Perspectives on Electrification and Flexibility for Distillation and Absorption Processes}}},
doi = {{10.83455/2026DISTILLATIONADSORPTION}},
year = {{2026}},
}
@inproceedings{66957,
author = {{Hassan Nezhad, Elham and Grabo, Matti and Kirschbaum, Julia and Riese, Julia}},
title = {{{A physics-enhanced neural network approach for packed bed latent heat storage systems incorporating hysteresis and subcooling}}},
doi = {{SDEWES2026.0119}},
year = {{2026}},
}
@inproceedings{67019,
abstract = {{In order to make rail transportation more attractive compared to motorized private transport, intelligent solutions are required across the entire mobility chain. Train stations, as places of connection and transfer, offer the greatest potential in this context. Thus, the deployment of autonomous service robots at train stations offers a wide range of possibilities for supporting passengers on their journeys by rail, for example, by providing information, accompanying them to the next link in the mobility chain, or transporting their luggage. Since such robots are battery-powered, one challenge is to carefully plan activities based on the remaining battery capacity. Therefore, the aim of this work is to predict battery usage and, in turn, battery state, in order to inform passengers, and to enable intelligent planning of its usage.In this work, realistic operational conditions of a service robot are systematically assessed through measurements on the service robot itself and through passenger surveys at a train station. The estimated operational conditions are experimentally replicated to simulate the heterogeneous use of the battery pack, while acquiring condition monitoring data throughout its use. The battery pack is modeled based on the single particle model, which can robustly predict the battery state by simulating its usage considering past operational conditions. The approach is validated using experimental data obtained from simulating realistic usage. On the one hand, additional battery packs are employed, and on the other hand, the load is varied. The advantage of this approach lies in the ability to account for future changes, such as higher loads than anticipated, to provide robust predictions.This enables the intelligent use of service robots, offering passengers an improved service experience at train stations.}},
author = {{Löwen, Alexander and Aleman-Gallegos, Enrique and Aimiyekagbon, Osarenren and Wachsmuth, Sven and Sextro, Walter}},
booktitle = {{PHM Society European Conference}},
issn = {{2325-016X}},
location = {{Oslo}},
number = {{1}},
pages = {{1--10}},
publisher = {{PHM Society}},
title = {{{Prediction and simulation of battery pack usage for intelligent service robot deployment at a train station}}},
doi = {{10.36001/phme.2026.v9i1.4952}},
volume = {{9}},
year = {{2026}},
}
@article{67152,
author = {{Fuchs, Christian}},
journal = {{Thesis Eleven}},
title = {{{The Toxic Schema: How Nick Land’s Dark Enlightenment Works. }}},
doi = {{10.1177/07255136261487456 }},
year = {{2026}},
}
@inproceedings{67174,
abstract = {{Approval of products in safety-sensitive areas, such as medical technology, requires considerable effort. Companies must comply with numerous regulations for such product approvals. This results in requirements for processes, methods, tools and organizations throughout the product life cycle. A proven approach to handling regulatory requirements is the application of product lifecycle management (PLM) platforms. Applying PLM platforms (e.g. Teamcenter, 3DExperience) poses challenges in designing compliant processes as well as adapting methods and tools. For example, in medical technology, ISO 13485 specifies an industry-specific product engineering process. The exemplary adaptations of requirements engineering methods and related support – e.g. MBSE including Requirements Diagrams – are not intuitively apparent. Existing literature primarily regards these regulation-related challenges as boundary conditions, offering only vague operational solutions. Companies struggle to align PLM processes with regulatory requirements, yet few methods exist to support this integration. In this paper, a method is proposed that supports the application of regulation-centered PLM platforms and reduces effort in product approvals. The method is developed by applying a five-step approach. Existing literature on process models for applying PLM platforms is identified (1). The identified approaches are then analyzed to determine whether and to what extent they consider regulations in applying PLM platforms (2). Based on identified partial solutions from literature and findings from industry workshops, a new method is developed (3). The method comprises strategic level, process level, data level, pilot level, and operation level. Validation is conducted within a German medical technology company, containing proof of applicability determined through a pilot project (4) and proof of concept achieved through interviews (5). The method is applied to regulation-centered PLM for the use case ‘requirements engineering’. The concept is confirmed by experts in terms of applicability and transferability. The method supports engineers in applying regulation-centered PLM platforms, leading to reduced effort.}},
author = {{Gräßler, Iris and Pfeifer, Jan Niklas and Trost, Denis}},
booktitle = {{INCOSE International Symposium}},
issn = {{2334-5837}},
keywords = {{Regulations, Product Lifecycle Management, Requirements Engineering, Model-Based Systems Engineering, medical technology}},
location = {{Yokohma, Japan}},
number = {{1}},
pages = {{1641 -- 1655}},
publisher = {{Wiley}},
title = {{{RegPLM – A method for the application of regulation-centered PLM platforms}}},
doi = {{https://doi.org/10.1002/iis2.70264}},
volume = {{36}},
year = {{2026}},
}
@article{63577,
author = {{Eberhartinger, Eva and Speitmann, Raffael and Sureth-Sloane, Caren}},
journal = {{Journal of International Accounting, Auditing and Taxation}},
number = {{1}},
title = {{{Banks' Tax Disclosure, Financial Secrecy, and Tax Haven Heterogeneity}}},
doi = {{10.1016/j.intaccaudtax.2026.100759}},
volume = {{60}},
year = {{2026}},
}
@inbook{67143,
author = {{al-Ġarbāwī, Māǧid and Kokew, Stephan Matthias}},
booktitle = {{Konzepte von Toleranz und Intoleranz in der arabischen Moderne}},
editor = {{Dhouib, Sarhan and von Kügelgen, Anke}},
isbn = {{9783110682502}},
pages = {{415--438}},
publisher = {{De Gruyter}},
title = {{{Toleranz und die Quellen der Intoleranz. Einleitende Annäherungen (2006)}}},
doi = {{10.1515/9783110684841-014}},
volume = {{5}},
year = {{2026}},
}
@inproceedings{67235,
abstract = {{Die Asset Administration Shell (AAS) gilt als ein vielversprechender Ansatz für die industrielle Umsetzung eines digitalen Zwillings und somit für eine Erhöhung des Automatisierungsgrades. Eine innovative Anwendung der AAS stellt hierbei die hybride, datengetriebene Werkzeugauslegung von Umformprozessen dar. Der hybride Ansatz bezieht hierbei neben klassischen Modelldaten ebenfalls reale Prozessdaten sowie Erfahrungswissen mit ein. Hierdurch entsteht ein heterogener Datensatz, bestehend aus einer hohen Anzahl an Daten mit unterschiedlichen Modalitäten. Dieser Beitrag untersucht anhand des Stanzbiegeprozesses eine Automatisierungsarchitektur mittels AAS-Einbindung, die die heterogenen Datensätze automatisiert akquiriert, verarbeitet und maschinenlesbar zur Verfügung stellt. Hierdurch wird einem Machine Learning Modul ermöglicht, die Wirkzusammenhänge zwischen Prozessparametern und Messdaten zu erlernen und anhand dessen eine optimierte Werkzeugauslegung für spezifische Produktgeometrien auszugeben. Ein Fokus liegt auf der Schnittstelle der heterogenen Prozessdatenrepräsentation, mit der sowohl Anwender als auch ML-Modul interagieren. Diesbezüglich werden zwei Ansätze analysiert und hinsichtlich ihrer Performanz sowie Skalierbarkeit bewertet, um so die Basis für ein anwenderorientiertes Assistenzsystems zur Werkzeugauslegung für Umformprozesse zu bilden.}},
author = {{Peters, Henning and Kersting, Lukas and Trächtler, Ansgar}},
booktitle = {{Entwurf komplexer Automatisierungssysteme (EKA)}},
editor = {{Underberg, Lisa}},
location = {{Magdeburg}},
publisher = {{Otto von Guericke University Library}},
title = {{{Automatisierung der Verarbeitung heterogener Daten für eine datengetriebene Werkzeugauslegung von Stanzbiegeprozessen mittels Asset Administration Shell}}},
doi = {{10.25673/123346}},
year = {{2026}},
}
@article{67233,
abstract = {{A common challenge of punch-bending is the control and compensation of process deviations which are induced, e.g., by different material batches. The resulting deviations are currently countered iteratively using expert knowledge in the design phase as well as during the production process. However, this is not always successful due to the complex interactions between semi-finished product properties and forming tools. To automate the optimization of tool geometries and process adjustments, an accurate prediction model of correlations between process/tool parameters and product properties is necessary. In that regard, an application programming interface (API) aligned with the Asset Administration Shell (AAS) specification is developed utilizing a hybrid data-driven approach. It enables the transformation of various data formats e.g., from sensor and simulation data into a machine-readable structure. The API is linked to a digital twin and a database, to automatically gather requested information and provide the new structured data to a machine learning (ML) model. To validate the developed method, hybrid punch-bending data is automatically transferred to an ML model which then returns tool geometry suggestions for a defined product geometry.}},
author = {{Peters, Henning and Mazur, Andreas and Chaudhary, Brijesh and Kersting, Lukas and Trächtler, Ansgar and Hammer, Barbara}},
issn = {{1662-9795}},
journal = {{Key Engineering Materials}},
location = {{Thessaloniki}},
pages = {{43--54}},
publisher = {{Trans Tech Publications, Ltd.}},
title = {{{Method of an Automated Tool Design of Punch-Bending Processes Using the Asset Administration Shell}}},
doi = {{10.4028/p-yfy9oq}},
volume = {{1049}},
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}},
}