@misc{59921, author = {{Scharlau, Ingrid and Miriam, Körber}}, publisher = {{OSF}}, title = {{{Metaphors in 24 WIRED Level 5 Videos (Data corpus)}}}, doi = {{10.17605/OSF.IO/94A2J}}, year = {{2025}}, } @inproceedings{58713, author = {{Schulze, Jan Roland and Blumberg, Eva and Hellmich, Frank}}, publisher = {{University of Graz}}, title = {{{Effects of a cooperation training on inclusion-related self-concepts of pre-service teachers. Poster Presentation. The 21th Biennial EARLI (European Association for Research on Learning and Instruction) Conference on Learning and Instruction 2025. “Realising Potentials through Education: Shaping the minds and brains for the future” }}}, year = {{2025}}, } @inproceedings{58714, author = {{Finke, Nils and Knickenberg, Margarita and Hellmich, Frank}}, publisher = {{University of Graz}}, title = {{{Feedback as a predictor of primary school students’ motivation and mathematical competence. Single Paper. The 21th Biennial EARLI (European Association for Research on Learning and Instruction) Conference on Learning and Instruction 2025. “Realising Potentials through Education: Shaping the minds and brains for the future” }}}, year = {{2025}}, } @inproceedings{58710, author = {{Knickenberg, Margarita and Hoya, Fabian Karl and Hellmich, Frank}}, publisher = {{University of Graz}}, title = {{{Effects of parental feedback on children’s perceived feedback, motivation and achievement. Single Paper. The 21th Biennial EARLI (European Association for Research on Learning and Instruction) Conference on Learning and Instruction 2025. “Realising Potentials through Education: Shaping the minds and brains for the future” }}}, year = {{2025}}, } @inproceedings{58712, author = {{Görel, Gamze and Franzen, Katja and Hellmich, Frank}}, publisher = {{University of Graz}}, title = {{{Differences in pre-service teachers’ self-efficacy beliefs and willingness for inclusive education. Single Paper. The 21th Biennial EARLI (European Association for Research on Learning and Instruction) Conference on Learning and Instruction 2025. “Realising Potentials through Education: Shaping the minds and brains for the future” }}}, year = {{2025}}, } @inproceedings{58715, author = {{Löper, Marwin Felix and Hellmich, Frank}}, publisher = {{University of Graz}}, title = {{{The role of teacher behaviour in students’ attitudes and support towards peers with disabilities. Single Paper. The 21th Biennial EARLI (European Association for Research on Learning and Instruction) Conference on Learning and Instruction 2025. “Realising Potentials through Education: Shaping the minds and brains for the future” }}}, year = {{2025}}, } @inproceedings{58711, author = {{Finke, Pauline and Schulze, Jan Roland and Hellmich, Frank}}, publisher = {{University of Graz}}, title = {{{Teachers’ self-efficacy beliefs and attitudes concerning inclusive education. Single Paper. The 21th Biennial EARLI (European Association for Research on Learning and Instruction) Conference on Learning and Instruction 2025. “Realising Potentials through Education: Shaping the minds and brains for the future” }}}, year = {{2025}}, } @inproceedings{59244, author = {{Löper, Marwin Felix and Hellmich, Frank}}, publisher = {{University of Belgrade}}, title = {{{ Explanatory factors for students’ attitudes and their supportive behaviour towards peers with social and emotional disabilities. Paper. ECER 2025 (European Conference on Educational Research). “Charting the Way Forward: Education, Research, Potentials and Perspectives“ }}}, year = {{2025}}, } @inproceedings{61309, abstract = {{Service ecosystems reshape service innovation by enabling value co-creation among diverse actors. However, small and medium-sized enterprises and public organizations face significant challenges navigating and leveraging these ecosystems due to resource constraints, knowledge gaps, and partnership difficulties. While digital innovation hubs have been introduced as potential intermediaries to foster innovation, existing models primarily focus on individual solutions and networking rather than orchestrating service innovation. This study investigates the design of a digital service innovation hub as an orchestrating entity that facilitates service innovation within ecosystems. Under the design science research paradigm, we analyze the challenges faced by small and medium-sized enterprises and public organizations and derive design requirements for these hubs. Based on 17 expert interviews and focus group validations, we define the problem space and provide a requirements catalog for designing digital service innovation hubs as a step towards providing holistic support for service innovation initiatives.}}, author = {{Schäfer, Jannika Marie and Liebschner, Jonas and Rajko, Polina and Cohnen, Henrik and Lugmair, Nina and Heinz, Daniel}}, booktitle = {{Proceedings of the 20th International Conference on Wirtschaftsinformatik (WI 2025)}}, keywords = {{service innovation, ecosystem, innovation hubs, SMEs, public sector}}, location = {{Münster, Germany}}, publisher = {{Association for Information Systems (AIS)}}, title = {{{Designing Digital Service Innovation Hubs: An Ecosystem Perspective on the Challenges and Requirements of SMEs and the Public Sector}}}, year = {{2025}}, } @article{55400, abstract = {{This study contributes to the evolving field of robot learning in interaction with humans, examining the impact of diverse input modalities on learning outcomes. It introduces the concept of "meta-modalities" which encapsulate additional forms of feedback beyond the traditional preference and scalar feedback mechanisms. Unlike prior research that focused on individual meta-modalities, this work evaluates their combined effect on learning outcomes. Through a study with human participants, we explore user preferences for these modalities and their impact on robot learning performance. Our findings reveal that while individual modalities are perceived differently, their combination significantly improves learning behavior and usability. This research not only provides valuable insights into the optimization of human-robot interactive task learning but also opens new avenues for enhancing the interactive freedom and scaffolding capabilities provided to users in such settings.}}, author = {{Beierling, Helen and Beierling, Robin and Vollmer, Anna-Lisa}}, journal = {{Frontiers in Robotics and AI}}, keywords = {{human-robot interaction, human-in-the-loop learning, reinforcement learning, interactive robot learning, multi-modal feedback, learning from demonstration, preference-based learning, scaffolding in robot learning}}, publisher = {{Frontiers }}, title = {{{The power of combined modalities in interactive robot learning}}}, volume = {{12}}, year = {{2025}}, } @article{61327, abstract = {{Robot learning from humans has been proposed and researched for several decades as a means to enable robots to learn new skills or adapt existing ones to new situations. Recent advances in artificial intelligence, including learning approaches like reinforcement learning and architectures like transformers and foundation models, combined with access to massive datasets, has created attractive opportunities to apply those data-hungry techniques to this problem. We argue that the focus on massive amounts of pre-collected data, and the resulting learning paradigm, where humans demonstrate and robots learn in isolation, is overshadowing a specialized area of work we term Human-Interactive-Robot-Learning (HIRL). This paradigm, wherein robots and humans interact during the learning process, is at the intersection of multiple fields (artificial intelligence, robotics, human-computer interaction, design and others) and holds unique promise. Using HIRL, robots can achieve greater sample efficiency (as humans can provide task knowledge through interaction), align with human preferences (as humans can guide the robot behavior towards their expectations), and explore more meaningfully and safely (as humans can utilize domain knowledge to guide learning and prevent catastrophic failures). This can result in robotic systems that can more quickly and easily adapt to new tasks in human environments. The objective of this paper is to provide a broad and consistent overview of HIRL research and to guide researchers toward understanding the scope of HIRL, and current open or underexplored challenges related to four themes — namely, human, robot learning, interaction, and broader context. The paper includes concrete use cases to illustrate the interaction between these challenges and inspire further research according to broad recommendations and a call for action for the growing HIRL community}}, author = {{Baraka, Kim and Idrees, Ifrah and Faulkner, Taylor Kessler and Biyik, Erdem and Booth, Serena and Chetouani, Mohamed and Grollman, Daniel H. and Saran, Akanksha and Senft, Emmanuel and Tulli, Silvia and Vollmer, Anna-Lisa and Andriella, Antonio and Beierling, Helen and Horter, Tiffany and Kober, Jens and Sheidlower, Isaac and Taylor, Matthew E. and van Waveren, Sanne and Xiao, Xuesu}}, journal = {{Transactions on Human-Robot Interaction}}, keywords = {{Robot learning, Interactive learning systems, Human-robot interaction, Human-in-the-loop machine learning, Teaching and learning}}, title = {{{Human-Interactive Robot Learning: Definition, Challenges, and Recommendations}}}, year = {{2025}}, } @article{61328, author = {{Wang, Zhuoqun and Cui, Xueling and Treu, Tim and Guo, Jiesen and Liu, Xinyang and Klinger, Marvin and Heil, Christian and Ma, Nvsen and Sheng, Xianlei and Deng, Zheng and Lu, Xingye and Wang, Xiancheng and Li, Wei and Gegenwart, Philipp and Jin, Changqing and Zhao, Kan}}, issn = {{2475-9953}}, journal = {{Physical Review Materials}}, number = {{9}}, publisher = {{American Physical Society (APS)}}, title = {{{Antiferromagnetic ordering and critical behavior induced giant magnetocaloric effect in distorted kagome lattice Gd3BWO9}}}, doi = {{10.1103/7l6y-hdw5}}, volume = {{9}}, year = {{2025}}, } @article{61338, abstract = {{Conductive ferroelectric domain walls (DWs) represent a promising topical system for the development of nanoelectronic components and device sensors to be operational at elevated temperatures. DWs show very different properties as compared to their hosting bulk crystal, in particular with respect to the high local electrical conductivity. The objective of this work is to demonstrate DW conductivity up to temperatures as high as 400 °C which extends previous studies significantly. Experimental investigation of the DW conductivity of charged, inclined DWs is performed using 5 mol % MgO-doped lithium niobate single crystals. Current–voltage ( ) curves are determined by DC electrometer measurements and impedance spectroscopy and found to be identical. Moreover, impedance spectroscopy enables to recognize artifacts such as damaged electrodes. Temperature dependent measurements over repeated heating cycles reveal two distinct thermal activation energies for a given DW, with the higher of the activation energies only measured at higher temperatures. Depending on the specific sample, the higher activation energy is found above 160 °C to 230 °C. This suggests, in turn, that more than one type of defect/polaron is involved, and that the dominant transport mechanism changes with increasing temperature. First principles atomistic modeling suggests that the conductivity of inclined domain walls cannot be solely explained by the formation of a 2D carrier gas and must be supported by hopping processes. This holds true even at temperatures as high as 400 °C. Our investigations underline the potential to extend DW current based nanoelectronic and sensor applications even into the so-far unexplored temperature range up to 400 °C.}}, author = {{Wulfmeier, Hendrik and Yakhnevych, Uliana and Boekhoff, Cornelius and Diima, Allan and Kunzner, Marlo and Verhoff, Leonard M. and Paul, Jonas and Ratzenberger, Julius and Beyreuther, Elke and Gössel, Joshua and Kiseleva, Iuliia and Rüsing, Michael and Sanna, Simone and Eng, Lukas M. and Fritze, Holger}}, issn = {{0167-2738}}, journal = {{Solid State Ionics}}, publisher = {{Elsevier BV}}, title = {{{Demonstration of domain wall current in MgO-doped lithium niobate single crystals up to 400°C}}}, doi = {{10.1016/j.ssi.2025.116949}}, volume = {{429}}, year = {{2025}}, } @article{61337, abstract = {{Lithium niobate–tantalate mixed (LNT) crystals promise improved performance and new applications for optical, piezomechanical, or electrical devices when compared to the end composition compounds lithium niobate and lithium tantalate. The macroscopic properties of ferroelectrics highly depend on the structure of the underlying ferroelectric domains, which within mixed crystals can interact with the local changes in chemical compositions. In this work, we demonstrate how ferroelectric domain walls can unambiguously be identified and distinguished from local changes in composition by correlating piezoresponse force microscopy with second harmonic generation microscopy, using the Cherenkov contrast, reference crystal contrast, and negative phase mismatching contrast. We demonstrate how measuring the associated intensity change when approaching negative phase mismatching can be used to deduce the local tantalum concentration fast and over a large sample area. Based on these results, we study the natural domain structures that appear from Czochralski-grown, multi-domain LNT solid solution crystals. The developed results and methods serve as the central foundation to poling these mixed crystal systems and are key for their integration and applications.}}, author = {{Koppitz, Boris and Saxena, Tanya and Bernhardt, Felix and Ganschow, Steffen and Sanna, Simone and Rüsing, Michael and Eng, Lukas M.}}, issn = {{0021-8979}}, journal = {{Journal of Applied Physics}}, number = {{3}}, publisher = {{AIP Publishing}}, title = {{{Second harmonic generation contrasts of ferroelectric domain structures and composition in lithium niobate–tantalate mixed crystals}}}, doi = {{10.1063/5.0276183}}, volume = {{138}}, year = {{2025}}, } @inproceedings{61333, abstract = {{The ability to generate explanations that are understood by explainees is the quintessence of explainable artificial intelligence. Since un- derstanding depends on the explainee’s back- ground and needs, recent research focused on co-constructive explanation dialogues, where an explainer continuously monitors the ex- plainee’s understanding and adapts their expla- nations dynamically. We investigate the ability of large language models (LLMs) to engage as explainers in co-constructive explanation dia- logues. In particular, we present a user study in which explainees interact with an LLM in two settings, one of which involves the LLM being instructed to explain a topic co-constructively. We evaluate the explainees’ understanding be- fore and after the dialogue, as well as their perception of the LLMs’ co-constructive behav- ior. Our results suggest that LLMs show some co-constructive behaviors, such as asking ver- ification questions, that foster the explainees’ engagement and can improve understanding of a topic. However, their ability to effectively monitor the current understanding and scaffold the explanations accordingly remains limited.}}, author = {{Fichtel, Leandra and Spliethöver, Fichtel and Hüllermeier, Eyke and Jimenez, Patricia and Klowait, Nils and Kopp, Stefan and Ngonga Ngomo, Axel-Cyrille and Robrecht, Amelie and Scharlau, Ingrid and Terfloth, Lutz and Vollmer, Anna-Lisa and Wachsmuth, Henning }}, location = {{Avignon University, France}}, title = {{{Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues}}}, year = {{2025}}, } @techreport{61332, author = {{Buhl, Heike M. and Fisher, Josephine Beryl and Rohlfing, Katharina J.}}, publisher = {{OSF}}, title = {{{Role Perception Questionnaire: Co-construction. Scales manual}}}, year = {{2025}}, } @inproceedings{61341, author = {{Beimdiek, Janis and Schmid, Hans-Joachim}}, location = {{Paderborn}}, title = {{{SFS-gestützte Synthese von Katalysatorpartikeln zur selektiven katalytischen Reduktion von NOx}}}, year = {{2025}}, } @inproceedings{61343, author = {{Beimdiek, Janis and Schmid, Hans-Joachim}}, location = {{Nürnberg}}, title = {{{Influence of surface impurities on the catalytic activity of nanoparticles synthesized by a spray flame synthesis (oral presentation)}}}, year = {{2025}}, } @inproceedings{59566, author = {{Beimdiek, Janis and Schmid, Hans-Joachim}}, location = {{Clausthal-Zellerfeld}}, title = {{{Selektive katalytische Reduktion von NOx an gasphasensynthetisierten Katalysatorpartikeln (Vortrag)}}}, year = {{2025}}, } @article{61351, abstract = {{AbstractThe interaction of water molecules with semiconductor surfaces is relevant to various optoelectronic phenomena and physicochemical processes. Despite advances in fundamental understanding of water‐exposed surfaces, the detailed time‐ and energy‐resolved behavior of excited electrons remains largely unexplored. Here, the effects of water exposure on the near‐surface electron dynamics of phosphorus‐terminated p(2×2)/c(4×2)‐reconstructed indium phosphide (100) (P‐rich InP) are studied experimentally and matched to theoretical calculations. The P‐rich InP surface, consisting of H‐passivated P‐dimers, serves as a model for other P‐containing III‐V semiconductors such as gallium phosphide (GaP) or aluminum indium phosphide (AlInP). Electron dynamics near the surface are probed with femtosecond resolution using time‐resolved two‐photon photoemission (tr‐2PPE), a pump‐probe spectroscopic technique. Pulsed water exposure preserves electronic states and significantly increases lifetimes at the conduction band minimum (CBM). Density‐functional theory (DFT) calculations attribute these findings to suppression of surface vibrational modes in the top P‐layer by water exposure, reducing electronic transition probabilities of near‐band‐gap surface states. The results suggest that many near‐surface state lifetimes reported in ultra‐high vacuum may change significantly upon electrolyte exposure. These states may thus contribute more strongly to surface reactions than traditionally assumed. Demonstrating this effect for the technologically relevant P‐rich InP surface opens new opportunities in this underexplored area of surface electrochemistry.}}, author = {{Diederich, Jonathan and Paszuk, Agnieszka and Ruiz Alvarado, Isaac Azahel and Krenz, Marvin and Zare Pour, Mohammad Amin and Babu, Diwakar Suresh and Velazquez Rojas, Jennifer and Höhn, Christian and Gao, Yuying and Schwarzburg, Klaus and Ostheimer, David and Eichberger, Rainer and Schmidt, Wolf Gero and Hannappel, Thomas and de Krol, Roel van and Friedrich, Dennis}}, issn = {{2196-7350}}, journal = {{Advanced Materials Interfaces}}, number = {{16}}, publisher = {{Wiley}}, title = {{{Ultrafast Electron Dynamics at the Water‐Modified InP(100) Surface}}}, doi = {{10.1002/admi.202500463}}, volume = {{12}}, year = {{2025}}, }