@inproceedings{67285,
  abstract     = {{This research provides a method for designing competenceoriented, modular workflows that support strategic decisionmaking in strategic product planning (SPP) under conditions of uncertainty and time pressure. Increasing digitalization and data availability require decision support systems that integrate analytical models while being tailored to the competencies of decision-makers. Based on a systematic literature review and stakeholder workshops, eight success factors for competency-oriented workflow integration are identified, including modularity, traceability, interoperability, adaptability, handling uncertainty, and user acceptance. Based on these factors, a five-step method is developed that links business processes, data sources, evaluation criteria, visualization formats, and graphical workflow implementation. Strategic and technical decision logic are integrated into a unified, modular framework using graphical modeling environments. The method is validated in workshops and demonstrates its applicability in time-critical, multi-criteria decision contexts. The results show improved transparency, adaptability, and practical usability of datadriven decision processes that support robust and traceable business decisions. }},
  author       = {{Gräßler, Iris and Özcan, Deniz}},
  booktitle    = {{24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE }},
  editor       = {{Gonzalez, Jose David Nunez and Romay, Manuel Grana}},
  isbn         = {{978-9-492859-40-2}},
  keywords     = {{Workflow, Decision Support, Strategic Product Planning, Decision-making}},
  location     = {{San Sebastian, Spain}},
  pages        = {{73--80}},
  title        = {{{Competence-Oriented Modular Workflow Design for Strategic Decisions}}},
  volume       = {{24}},
  year         = {{2026}},
}

@inproceedings{67284,
  abstract     = {{<jats:p>For foresightful strategic decisions in engineering and production, it is important to identify and classify operational engineering data inmanufacturing companies in terms of relevance and impact. Established methods like Scenario-Technique or roadmapping consider expertise of strategic decision-makers and central decision-making bodies by, for instance, workshops and interviews. There is no overarching approach for evaluating the variety of operational data sources and feed them into specific data processing pipelines targeting strategic decision support. Based on a systematic literature analysis and comprehensive industrial experience, requirements are derived. These requirements are used to develop a method to identify, classify and evaluate data for strategic decision-making. The method is validated in an industrial project. The aim is to exploit informal and fragmented data from operational levels into structured, transparent decision support for strategic players.</jats:p>}},
  author       = {{Gräßler, Iris and Özcan, Deniz}},
  booktitle    = {{AHFE International}},
  issn         = {{2771-0718}},
  location     = {{Paris}},
  publisher    = {{AHFE International}},
  title        = {{{Extended Exploitation of Data in Manufacturing Companies for Strategic Decision-Making}}},
  doi          = {{10.54941/ahfe1008175}},
  volume       = {{237}},
  year         = {{2026}},
}

@inproceedings{67286,
  abstract     = {{The effects of decisions in strategic product planning are usually far-reaching, but at the same time difficult to assess. Simulations help to make these effects more tangible. Until now, the use of simulation in strategic product planning has been limited to behavioral and innovation diffusion studies. This paper presents a process model for widening business models or planning upcoming product generations. It supports integrating the simulation of technical systems into decisionmaking processes to select the most suitable product for adaptation to new application scenarios. To this end, the characteristics of such new application scenarios are applied to existing product models in simulation, and the system behavior is evaluated based on key figures. This supports the comparison of different products and the selection of the product alternative requiring the least amount of modification. The process model enables decision-makers to systematically integrate simulation into the decision-making process and thus make more data-based decisions. }},
  author       = {{Gräßler, Iris and Özcan, Deniz and Döhner, Niklas}},
  booktitle    = {{24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE }},
  editor       = {{Gonzalez, Jose David Nunez and Romay, Manuel Grana}},
  isbn         = {{978-9-492859-40-2}},
  keywords     = {{Decision-making, Decision support systems, Mechanical engineering, System analysis, System engineering}},
  location     = {{San Sebastian, Spain}},
  pages        = {{65--72}},
  title        = {{{Leveraging System Simulation for Decision  Support in Strategic Product Planning}}},
  volume       = {{24}},
  year         = {{2026}},
}

@article{67325,
  abstract     = {{The influence of the hydrophilicity of mesoporous silica on wetting with water was investigated by comparing a standard hydrophilic MCM-41 and a partially hydrophobicized material obtained by trimethylsilylation of MCM-41. The materials were characterized using X-ray diffraction, N2 physisorption, thermogravimetric analysis, infrared spectroscopy, as well as 29Si and 13C solid-state nuclear magnetic resonance spectroscopy. Trimethylsilylation leads to a reduction of the pore diameter (determined using density functional theory) from 3.8 to 3.6 nm. Using proton solid-state nuclear magnetic resonance (NMR) under magic-angle spinning, it was found that the filling of these narrow pores with increasing amounts of water follows an axial mode, independent of surface hydrophilicity. The axial model of pore-filling is supported by the coexistence of two characteristic 1H NMR water signals, one from physisorbed water molecules, which can exchange protons with silanol groups, and one from bulk-like water in completely filled pores, where water molecules are in exchange between sites at the pore wall and sites closer to the center of the pore.}},
  author       = {{Zhao, Yanjing and Weinberger, Christian and Tiemann, Michael and Schmidt, Claudia}},
  issn         = {{2629-2742}},
  journal      = {{Analysis & Sensing}},
  number       = {{5}},
  publisher    = {{Wiley}},
  title        = {{{NMR Investigation of Water in Mesoporous Silica Materials With Different Surfaces}}},
  doi          = {{10.1002/anse.70109}},
  volume       = {{6}},
  year         = {{2026}},
}

@article{67270,
  author       = {{Neuser, Moritz and Hoyer, Kay-Peter and Mann, Moritz and Benedikt Klöckner, Johann Moritz and Schaper, Mirko}},
  issn         = {{0264-1275}},
  journal      = {{Materials &amp; Design}},
  publisher    = {{Elsevier BV}},
  title        = {{{Microstructure-based design criteria for crack-free self-pierce riveting of hypoeutectic AlSi casting alloys}}},
  doi          = {{10.1016/j.matdes.2026.117118}},
  volume       = {{271}},
  year         = {{2026}},
}

@article{67182,
  abstract     = {{Generative artificial intelligence (GenAI) challenges core concepts in service science by blurring boundaries among resources, actors, and beneficiaries. Using service-dominant logic (SDL) as a theoretical lens, we review the distinctive properties of these concepts, introduce the agent concept into SDL, and analyze GenAI’s precise role in service exchange processes. We employ a two-phase research approach: First, we conduct a systematic literature review to derive defining properties of resources, actors, beneficiaries, and agents. We then assess eight contemporary GenAI systems against these properties. Our evidence indicates that GenAI is best understood as an operant resource and, depending on design and context, as an actor and agent. Conversely, GenAI does not qualify as a beneficiary, as it is neither individually capable of phenomenologically experiencing and determining value nor a social system of individuals with such capacities. Our findings propose an update to SDL’s core concepts and understanding, as well as a nuanced conceptual clarification of GenAI’s role, offering guidance for researchers and practitioners seeking to understand and design service interactions that incorporate GenAI.}},
  author       = {{Schäfer, Jannika Marie and Hansmeier, Philipp and zur Heiden, Philipp and Beverungen, Daniel}},
  journal      = {{Electronic Markets}},
  keywords     = {{Generative artificial intelligence, Service-dominant logic, Service science, Actor, Beneficiary, Agent}},
  number       = {{78}},
  publisher    = {{Springer Nature}},
  title        = {{{Resource, actor, beneficiary, or agent? A service‑dominant perspective on generative artificial intelligence}}},
  doi          = {{https://doi.org/10.1007/s12525-026-00932-w}},
  volume       = {{36}},
  year         = {{2026}},
}

@article{65626,
  abstract     = {{Business Process Management (BPM) is evolving rapidly. Building on a rich research portfolio that spans from early workflow automation to robotic process automation (RPA), large language models (LLMs) are the most recent disruptive technologies to influence all BPM capability areas. Particularly, these technologies fuel the emerging research fields of AI-enhanced business process management systems and autonomous process execution. In a design science research approach, we develop a modular LLM agent architecture that effectively enables the adaptation and execution of business processes. The architecture integrates a Frame Agent that can generate process descriptions and an Operational Agent that autonomously executes processes based on the Frame Agent’s process descriptions. It further enables a future Tactical Agent for autonomous process adaptations. We demonstrate the architecture’s applicability and utility with the real-world case of a meter-to-cash process, comparing it to the performance of an RPA bot. Our findings provide early insights into the challenges faced by autonomous process execution and its relation with RPA in terms of adaptability, flexibility, and complexity in autonomous process execution. While researchers can build on our findings to establish modular LLM-agent architectures for autonomous process execution, practitioners can derive early insights into the design of LLM agents for process automation.}},
  author       = {{Skolik, Alexander Marcus and Kaltenpoth, Sascha Benjamin and Beverungen, Daniel and Müller, Oliver}},
  issn         = {{0306-4379}},
  journal      = {{Information Systems}},
  keywords     = {{Business process management, Large language models, Modular agent architecture, Autonomous process execution, AI-augmented business process management systems}},
  publisher    = {{Elsevier BV}},
  title        = {{{A modular large language model agent architecture for adaptive and autonomous process-aware execution}}},
  doi          = {{10.1016/j.is.2026.102748}},
  volume       = {{141}},
  year         = {{2026}},
}

@inbook{65497,
  author       = {{Schmitt, Martin}},
  booktitle    = {{Rechnen, Zeichnen, Reden Zur Geschichte der Datenverarbeitung im langen 19. Jahrhundert}},
  editor       = {{Köhler, Volker}},
  keywords     = {{Umweltgeschichte, 19. Jahrhundert, Deutschland, Forstwirtschaft, Konrad Zuse, Datenverarbeitung, Umweltdaten}},
  pages        = {{35–64}},
  publisher    = {{Transcript}},
  title        = {{{Von Baumdaten zu Datenwäldern. Eine Umweltgeschichte der Informationsverarbeitung im Ausklang des langen 19. Jahrhunderts}}},
  volume       = {{14}},
  year         = {{2026}},
}

@inbook{67495,
  author       = {{Frankemölle, Bernd and Wiesche, David and Göbel, Kerstin}},
  booktitle    = {{Peer-to-Peer-Konzepte in der Sprachendidaktik. Theorie und Praxis für die Hochschullehre}},
  editor       = {{Blume, Carolyn and Marci-Boehncke, Gudrun and Ronan, Patricia}},
  isbn         = {{978-3-8394-7313-9}},
  pages        = {{207--230}},
  publisher    = {{Transcript}},
  title        = {{{Inter- und transkulturelles Lernen mit digitalen Aufgaben im Fremdsprachenunterricht? Perspektiven von Fremdsprachenlehrpersonen auf ein kulturdidaktisches Online-Fortbildungskonzept}}},
  doi          = {{https://doi.org/10.14361/9783839473139}},
  year         = {{2026}},
}

@article{67487,
  author       = {{Kaup, Michael}},
  journal      = {{Zeitschrift für Didaktik der Philosophie und Ethik (ZDPE)}},
  number       = {{3}},
  pages        = {{72--80}},
  title        = {{{Der mediumadäquate Ansatz. Mediumadäquates Philosophieren über Simone de Beauvoirs Theaterstück "Les bouches inutiles"}}},
  year         = {{2026}},
}

@article{66070,
  abstract     = {{Der Beitrag stellt einen Online-Quick-Check vor, der KMU einen niedrigschwelligen Einstieg in industrielle Datenräume ermöglicht. Der Check kombiniert eine zweidimensionale Einschätzung der Readiness (strategisch/technologisch) mit einer Mehrwert-Priorisierung zur Ableitung passender Use Cases. In einer Pilotierung (n = 19) zeigen sich v. a. Defizite bei der Vernetzung, den datenbasierten Entscheidungen und Datenrollen; priorisiert werden Mehrwerte in Planung, Qualität und Effizienz.}},
  author       = {{Zerbin, Julian and Grünwoldt, Max and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{2511-0896}},
  journal      = {{Zeitschrift für wirtschaftlichen Fabrikbetrieb}},
  keywords     = {{KMU, Data Space, Data Sharing, Industrie 4.0, Datensouveränität, Readiness}},
  number       = {{6}},
  pages        = {{458--462}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Ein Quick-Check für Industrielle Datenräume – Voraussetzungen und Mehrwerte}}},
  doi          = {{10.1515/zwf-2026-1077}},
  volume       = {{121}},
  year         = {{2026}},
}

@inproceedings{66071,
  abstract     = {{Data ecosystems offer new opportunities for value creation by enabling companies to combine and reuse
data beyond their own boundaries. Coopetition, i.e., simultaneous cooperation and competition, is an
important dynamic within data ecosystems that must be understood and managed well to leverage the
non-rivalrous nature of data. A systematic literature review of 38 peer-reviewed studies on ecosystems
and coopetition was conducted to clarify how coopetition affects data ecosystems. Using qualitative
content analysis, the study summarizes how coopetition is calibrated, what results it produces, and what
challenges are associated with it. The resulting Data Ecosystem Coopetition (DECo) model specifies
four management levers, as well as the associated outcomes and common challenges. In addition, six
cycles were identified that link levers, challenges, and outcomes. These cycles provide concise guidance
on elements that tend to vary together and highlight areas that are prone to specific tensions.}},
  author       = {{Zerbin, Julian and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{ECIS 2026 Proceedings}},
  keywords     = {{data sharing, interfirm relations, paradox theory, strategic alliances, network governance}},
  location     = {{Mailand}},
  title        = {{{Towards An Understanding Of Coopetition In Data Ecosystems: A Systematic Literature Review}}},
  year         = {{2026}},
}

@inproceedings{66073,
  abstract     = {{Data-driven business models are transforming industries, yet small and medium-sized enterprises (SMEs) often lack the resources to participate in emerging data sharing initiatives. Data spaces provide a federated infrastructure for sovereign data sharing, but SME participation remains limited due to complex onboarding processes involving technical, organizational, legal, and economic barriers. Data trustees have been proposed as intermediaries to facilitate data sharing, but their specific role in supporting SME onboarding has not been systematically explored. Here we present a reference process for SME data space onboarding and derive four design principles, structured along the TELO framework, describing how data trustees can address these barriers. Our findings reveal that SMEs require comprehensive support throughout the onboarding journey, with particular emphasis on business case development. The results offer actionable guidance for data space operators and policymakers seeking to broaden ecosystem participation as the European Union advances its data strategy.}},
  author       = {{Hupperz, Marius Johannes and Zerbin, Julian and Kunert, Julia}},
  booktitle    = {{AMCIS 2026 Proceedings}},
  keywords     = {{Data spaces, data trustees, SME Onboarding, data sharing}},
  location     = {{Reno - Nevada}},
  title        = {{{Toward Design Principles for Data Trustee-Supported SME Onboarding in Data Spaces}}},
  year         = {{2026}},
}

@inproceedings{66072,
  abstract     = {{Data Spaces are establishing themselves as a decentralized alternative for sovereign data sharing across organizations. However, their adoption faces significant challenges, particularly the lack of proven business models that encourage participation and value creation. A data space business model captures value differently than either traditional business models or platform business models. This paper addresses this challenge by developing the Data Space Canvas, a structured framework for designing and aligning business models in data spaces consisting of nine building blocks. The canvas was developed following the design science research methodology. The modular and role-specific structure of the Data Space Canvas facilitates shared understanding and supports business model development across participants. This research contributes a practical tool that enables organizations to conceptualize, communicate, and refine their role and business model in data spaces.}},
  author       = {{Zerbin, Julian and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{ECIS 2026 Proceedings}},
  keywords     = {{data ecosystems, business model, design science, resource orchestration theory, data sharing}},
  location     = {{Mailand}},
  title        = {{{The Data Space Canvas: A Framework For Structuring Business Models In Data Spaces}}},
  year         = {{2026}},
}

@article{67532,
  abstract     = {{In mechanical joining, a wide variety of tool geometries and rivet types have been developed to meet different requirements. For example, this is due to the mechanical properties of sheet materials and the increasing number of material combinations that require joining. However, to address rising costs and sustainability demands or to react to supply chain disruptions, versatile joining processes are needed to reduce the amount of joining equipment required by adapting the process to the joining task. This study examines the influence of punch velocity on the clinching and semi-tubular self-piercing riveting processes, as well as on the binding mechanisms, joint's geometric parameters, and joint properties. The aim is to determine the relevant range of punch velocities based on material properties, such as strain rate dependence, and to assess whether punch velocity can be utilized as a control variable for versatile joining processes. To this aim, similar joints made of steel (HCT590X+Z), aluminum (EN AW-6014), and mixed joints of these materials are examined. The resulting joining forces are analyzed using force-displacement curves to evaluate the influence on the joining process. The form closure is examined using micrographs of the joints' geometric parameters. To characterize the force closure, the connection resistance is measured using the four-wire sensing method, and the load-bearing capacity is determined via a shear tensile test.}},
  author       = {{Lüder, Stephan and Schmale, Hans Christian}},
  issn         = {{2666-3309}},
  journal      = {{Journal of Advanced Joining Processes}},
  keywords     = {{clinching, self-piercing riveting, punch velocity, binding mechanisms, tensile testing, non-destructive testing}},
  location     = {{Coimbra, Portugal}},
  publisher    = {{Elsevier BV}},
  title        = {{{Influence analysis of punch velocity on joint formation, binding mechanisms, and joint properties in clinching and self-piercing riveting}}},
  doi          = {{10.1016/j.jajp.2026.100421}},
  volume       = {{14}},
  year         = {{2026}},
}

@article{67327,
  abstract     = {{We report the synthesis, structural elucidation, and establishment of structure−property relationships for two metal−organic frameworks (MOFs), [M(OH)(H2BPD)]·xH2O (M = Al3+, Ga3+, x = 11–13), denoted as M-CAU-67, employing the ditopic linker molecule N,N′-4,4′ bipiperidine bis(methylenephosphonic acid) (H4BPD). The title compounds can be synthesized on a milligram scale under hydrothermal conditions, while gram-scale synthesis was realized under reflux conditions. Single-crystal X-ray diffraction (SCXRD) revealed an isoreticular, expanded MIL-91 type structure, representing a rare case of isoreticular expansion in porous metal phosphonates. The framework structure was confirmed by Rietveld refinement against powder X-ray diffraction (PXRD) data and further validated by solid-state NMR spectroscopy (31P MAS, 27Al 3Q MAS). Solvent-exchange experiments and variable-humidity/temperature PXRD data revealed high framework flexibility. The compounds show permanent microporosity and a complex, polarity- and size-dependent sorption behavior toward gases and vapors.}},
  author       = {{Theissen, Jennifer and Radke, Marvin and Mangelsen, Sebastian and Derveaux, Elien and Narváez Adams, Roberth Mateo and Wagner, Tobias and Lopau, Jasper and Näther, Christian and Nelle, Christian and Struve, Jörn and Steinke, Felix and Gándara Loe, Jesús and Gys, Nick and Hauffman, Tom and Tiemann, Michael and Tielens, Frederik and Adriaensens, Peter and Henke, Sebastian and Marchal, Wouter and Ameloot, Rob and Stock, Norbert}},
  issn         = {{0897-4756}},
  journal      = {{Chemistry of Materials}},
  number       = {{16}},
  pages        = {{8463--8475}},
  publisher    = {{American Chemical Society (ACS)}},
  title        = {{{Isoreticular Expansion in Porous Aluminum(III) and Gallium(III) Phosphonates: Synthesis, Structure, and Properties}}},
  doi          = {{10.1021/acs.chemmater.6c01336}},
  volume       = {{38}},
  year         = {{2026}},
}

@article{62816,
  abstract     = {{The increasing demand for advanced sensing technologies drives the development of chemical sensors using innovative materials. In gas sensing, optical sensors are often used to detect gases such as CO, NOx, and O2. Oxygen sensors typically incorporate dyes into oxygen-permeable matrices like polymers, silica, or zeolites. Alternatively, semiconductor surface chemistry can enable O2 detection. However, these approaches are often limited by slow response and recovery times and low selectivity, restricting their practical applications. The metal-organic framework MOF-76(Eu) and its yttrium-modified variant, MOF-76(Eu/Y) are reported to exhibit highly reversible and fast optical responses to varying O2 concentrations. Time-resolved emission measurements are performed over short (seconds) and long (hours) timescales using N2 and synthetic air mixtures. Cross-sensitivity to humidity is analyzed. Multichannel scaling photon-counting experiments confirm quenching at the linker level, as the emission lifetime remains nearly constant. Yttrium significantly improves stability and performance at room temperature. Structural and optical changes induced by yttrium are investigated. Additionally, MIL-78(Eu), another Eu-BTC-based MOF with a different coordination environment, is synthesized. Unlike MOF-76(Eu), MIL-78(Eu) exhibits distinct optical properties but lacks a reversible response to O2. These results highlight the potential of MOF-76-based materials for high-performance O2 sensing.}},
  author       = {{Zhao, Zhenyu and Weinberger, Christian and Steube, Jakob and Bauer, Matthias and Brehm, Martin and Tiemann, Michael}},
  issn         = {{1616-301X}},
  journal      = {{Advanced Functional Materials}},
  publisher    = {{Wiley}},
  title        = {{{Fast‐Responding O2 Gas Sensor Based on Luminescent Europium Metal‐Organic Frameworks (MOF‐76)}}},
  doi          = {{10.1002/adfm.202511190}},
  year         = {{2026}},
}

@inproceedings{67552,
  abstract     = {{Predictive Maintenance is a key element of data-driven maintenance strategies in Industry 4.0. It promises improved asset availability and operational efficiency. In addition to data analytics and machine learning, simulation-based assessment and digital representations of production systems increasingly complement Predictive Maintenance by enabling the evaluation of maintenance decisions and failure risks before physical intervention. However, small and medium-sized enterprises (SMEs) often face challenges in realizing these benefits due to insufficient employee competencies across all domains. As a prerequisite, a clear understanding of competency gaps that hinder employees to use relevant key technologies such as artificial intelligence and data analytics is needed. This paper presents competency profiles that define relevant competencies for the use of simulation-based Predictive Maintenance and map these competencies to relevant roles that need them. The study is based on a systematic literature review about competencies for digitalization processes in industry focusing on maintenance and, more specifically, data technologies in maintenance. The competency profile is validated through a Delphi-Study with industry representatives assessing the identified competency levels. The results support a more holistic understanding of Predictive Maintenance and provide guidance for targeted competency development in SMEs.}},
  author       = {{Gräßler, Iris and Niemeyer, Marcel}},
  booktitle    = {{24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE}},
  editor       = {{Gonzalez, Jose David Nunez and Romay, Manuel Grana}},
  isbn         = {{ 978-9-492859-40-2}},
  keywords     = {{Predictive Maintenance, Artificial Intelligence, Data Processing, Competencies, Role Profiles}},
  location     = {{San Sebastian, Spain}},
  pages        = {{91--97}},
  title        = {{{COMPETENCY PROFILES FOR THE USE  OF PREDICTIVE MAINTENANCE IN SMES}}},
  volume       = {{24}},
  year         = {{2026}},
}

@misc{67553,
  author       = {{Moritz, Tilman}},
  booktitle    = {{sehepunkte}},
  number       = {{10}},
  title        = {{{G. Maier / W. A. Ried (Hgg.): Hartmut XII. und die Reformation. Beiträge zum 500. Jahrestag der Belagerung Kronbergs 1522 (= Quellen und Forschungen zur hessischen Geschichte. 199). Darmstadt 2025}}},
  volume       = {{26}},
  year         = {{2026}},
}

@inproceedings{66093,
  abstract     = {{Taking pupils’ diverse needs into account is considered a central requirement of inclusive education (Booth & Ainscow, 2016). These needs are—according to Ainscow’s (2007) inclusive turn—not primarily ‘special educational needs’, but diverse needs of all learners. For the rather segregated German educational system, this endeavour applies especially to primary education, where needs are still developing and pupils are not yet assigned to different types of schooling according to their needs and abilities.

Despite a substantial amount of research on pupils’ basic psychological needs for autonomy, competence and social relatedness (Ryan et al., 2022), strategies that technology education teachers apply in this regard are not yet well understood. Besides interventional studies on technology education, indicating effectiveness of self‑directed and action‑oriented teaching and learning, there is a dearth of research on how teachers address different needs as a routine.

The purpose of the presented study is therefore to investigate and systematize actions and strategies teachers apply, and to specify how pupils' needs are considered when teaching technology education on a given topic.

The overall study used a mixed-methods approach to the question how pupils’ needs are characterized by themselves and by their teachers, and how they were taken into account in a lesson adapted and delivered by the teachers. In the sub-study presented here, participating primary school teachers were interviewed about their consideration of pupils’ needs whilst planning and conducting a technology education unit on the functionality of robots.

The results gained from qualitative content analysis of the interviews indicate that although the anticipation of different needs is considered challenging, teachers possess a substantiate amount of practices and strategies to take them into account.

The paper systematizes the practices teachers described in structured interviews within strategies and discusses the contribution of taking basic needs into account for inclusive technology education.}},
  author       = {{Schröer, Franz and Tenberge, Claudia}},
  booktitle    = {{Linköping Electronic Conference Proceedings}},
  issn         = {{1650-3686}},
  keywords     = {{Technology Education, Inclusion, Basic Needs, Robotics, Mixed Methods, Teachers' Abilities}},
  publisher    = {{Linköping University Electronic Press}},
  title        = {{{“They Really Need to Handle, Inspect, and Experience Things”}}},
  doi          = {{10.3384/ecp213.1455}},
  volume       = {{218}},
  year         = {{2026}},
}