[{"status":"public","page":"179-189","_id":"63109","publisher":"Waxmann Verlag GmbH","user_id":"44239","editor":[{"last_name":"Herzig","first_name":"Bardo","full_name":"Herzig, Bardo"},{"full_name":"Eickelmann, Birgit","first_name":"Birgit","last_name":"Eickelmann"},{"full_name":"Schwabl, Franziska","first_name":"Franziska","last_name":"Schwabl"},{"full_name":"Schulze, Johanna","first_name":"Johanna","last_name":"Schulze"},{"last_name":"Niemann","first_name":"Jan","full_name":"Niemann, Jan"}],"citation":{"mla":"Truong, Ha My. “Level Up! Gamification in Der Lehrkräfteausbildung - Konzeption Und Erfahrung Eines Gamifizierten Seminars in Der Hochschullehre Für Lehramtsstudierende.” <i>Lehrkräftebildung in Der Digitalen Welt. Zukunftsorientierte Forschungs- Und Praxisperspektiven</i>, edited by Bardo Herzig et al., Waxmann Verlag GmbH, 2024, pp. 179–89, doi:<a href=\"https://doi.org/10.31244/9783830998372\">10.31244/9783830998372</a>.","bibtex":"@inbook{Truong_2024, title={Level Up! Gamification in der Lehrkräfteausbildung - Konzeption und Erfahrung eines gamifizierten Seminars in der Hochschullehre für Lehramtsstudierende}, DOI={<a href=\"https://doi.org/10.31244/9783830998372\">10.31244/9783830998372</a>}, booktitle={Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven}, publisher={Waxmann Verlag GmbH}, author={Truong, Ha My}, editor={Herzig, Bardo and Eickelmann, Birgit and Schwabl, Franziska and Schulze, Johanna and Niemann, Jan}, year={2024}, pages={179–189} }","ama":"Truong HM. Level Up! Gamification in der Lehrkräfteausbildung - Konzeption und Erfahrung eines gamifizierten Seminars in der Hochschullehre für Lehramtsstudierende. In: Herzig B, Eickelmann B, Schwabl F, Schulze J, Niemann J, eds. <i>Lehrkräftebildung in Der Digitalen Welt. Zukunftsorientierte Forschungs- Und Praxisperspektiven</i>. Waxmann Verlag GmbH; 2024:179-189. doi:<a href=\"https://doi.org/10.31244/9783830998372\">10.31244/9783830998372</a>","ieee":"H. M. Truong, “Level Up! Gamification in der Lehrkräfteausbildung - Konzeption und Erfahrung eines gamifizierten Seminars in der Hochschullehre für Lehramtsstudierende,” in <i>Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven</i>, B. Herzig, B. Eickelmann, F. Schwabl, J. Schulze, and J. Niemann, Eds. Waxmann Verlag GmbH, 2024, pp. 179–189.","apa":"Truong, H. M. (2024). Level Up! Gamification in der Lehrkräfteausbildung - Konzeption und Erfahrung eines gamifizierten Seminars in der Hochschullehre für Lehramtsstudierende. In B. Herzig, B. Eickelmann, F. Schwabl, J. Schulze, &#38; J. Niemann (Eds.), <i>Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven</i> (pp. 179–189). Waxmann Verlag GmbH. <a href=\"https://doi.org/10.31244/9783830998372\">https://doi.org/10.31244/9783830998372</a>","short":"H.M. Truong, in: B. Herzig, B. Eickelmann, F. Schwabl, J. Schulze, J. Niemann (Eds.), Lehrkräftebildung in Der Digitalen Welt. Zukunftsorientierte Forschungs- Und Praxisperspektiven, Waxmann Verlag GmbH, 2024, pp. 179–189.","chicago":"Truong, Ha My. “Level Up! Gamification in Der Lehrkräfteausbildung - Konzeption Und Erfahrung Eines Gamifizierten Seminars in Der Hochschullehre Für Lehramtsstudierende.” In <i>Lehrkräftebildung in Der Digitalen Welt. Zukunftsorientierte Forschungs- Und Praxisperspektiven</i>, edited by Bardo Herzig, Birgit Eickelmann, Franziska Schwabl, Johanna Schulze, and Jan Niemann, 179–89. Waxmann Verlag GmbH, 2024. <a href=\"https://doi.org/10.31244/9783830998372\">https://doi.org/10.31244/9783830998372</a>."},"title":"Level Up! Gamification in der Lehrkräfteausbildung - Konzeption und Erfahrung eines gamifizierten Seminars in der Hochschullehre für Lehramtsstudierende","year":"2024","publication_identifier":{"isbn":["9783830948377"]},"author":[{"id":"44239","full_name":"Truong, Ha My","last_name":"Truong","first_name":"Ha My"}],"publication_status":"published","date_updated":"2025-12-16T13:05:59Z","language":[{"iso":"eng"}],"doi":"10.31244/9783830998372","publication":"Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven","abstract":[{"lang":"ger","text":"<jats:p>Game-based Learning (GBL) und Gamification (GF) gewinnen im schulischen Umfeld zunehmend an Bedeutung. Ihr Einsatz bietet die Möglichkeit, eigenverantwortliches Lernen im Unterricht zu fördern, bringt aber auch Herausforderungen für Lehr- und Lernprozesse mit sich. Daher ist es von großer Bedeutung, angehenden Lehrkräften die notwendigen Kompetenzen zu vermitteln, um GBL und GF effektiv in den Unterricht zu integrieren. Vor diesem Hintergrund wurde ein Lehrkonzept für die Hochschullehre entwickelt und hinsichtlich der Zielerreichung evaluiert. Der vorliegende Beitrag gibt einen Einblick in die Gestaltungsaspekte des Seminars sowie erste Erkenntnisse und Erfahrungen der Studierenden.</jats:p>"},{"lang":"eng","text":"Game-based learning (GBL) and gamification (GF) are becoming increasingly relevant in the school environment. Their use offers the opportunity to promote independent learning in the classroom, but also poses challenges for teaching and learning processes. Therefore, it is of great importance to provide future teachers with the necessary competencies to effectively integrate GBL and GF into the classroom. Against this background, a teaching concept for higher education was developed and evaluated in terms of achievement. This article provides insights into the design aspects of the seminar as well as initial findings and experiences of the students."}],"date_created":"2025-12-16T08:36:17Z","keyword":["Game-based learning","Gamification","Hochschullehre","Lehrkräftebildung"],"type":"book_chapter","department":[{"_id":"33"}]},{"editor":[{"full_name":"González-Martín, Alejandro S.","last_name":"González-Martín","first_name":"Alejandro S."},{"first_name":"Ghislaine","last_name":"Gueudet","full_name":"Gueudet, Ghislaine"},{"full_name":"Florensa, Ignasi","first_name":"Ignasi","last_name":"Florensa"},{"full_name":"Lombard, Nathan","first_name":"Nathan","last_name":"Lombard"}],"user_id":"32202","ddc":["370","510"],"_id":"57895","publisher":"Escola Univerist`aria Salesiana de Sarri`a – Univ. Aut`onoma de Barcelona and INDRUM","has_accepted_license":"1","status":"public","oa":"1","place":"Barcelona","quality_controlled":"1","citation":{"chicago":"Hoffmann, Max, and Sarah Schlüter. “How Do Advanced Pre-Service Teachers Develop Congruence Theorems for Quadrilaterals?” In <i>Proceedings of the Fifth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2024, 10-14 June 2024)</i>, edited by Alejandro S. González-Martín, Ghislaine Gueudet, Ignasi Florensa, and Nathan Lombard. Barcelona: Escola Univerist`aria Salesiana de Sarri`a – Univ. Aut`onoma de Barcelona and INDRUM, 2024.","ama":"Hoffmann M, Schlüter S. How Do Advanced Pre-Service Teachers Develop Congruence Theorems for Quadrilaterals? In: González-Martín AS, Gueudet G, Florensa I, Lombard N, eds. <i>Proceedings of the Fifth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2024, 10-14 June 2024)</i>. Escola Univerist`aria Salesiana de Sarri`a – Univ. Aut`onoma de Barcelona and INDRUM; 2024.","short":"M. Hoffmann, S. Schlüter, in: A.S. González-Martín, G. Gueudet, I. Florensa, N. Lombard (Eds.), Proceedings of the Fifth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2024, 10-14 June 2024), Escola Univerist`aria Salesiana de Sarri`a – Univ. Aut`onoma de Barcelona and INDRUM, Barcelona, 2024.","bibtex":"@inproceedings{Hoffmann_Schlüter_2024, place={Barcelona}, title={How Do Advanced Pre-Service Teachers Develop Congruence Theorems for Quadrilaterals?}, booktitle={Proceedings of the Fifth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2024, 10-14 June 2024)}, publisher={Escola Univerist`aria Salesiana de Sarri`a – Univ. Aut`onoma de Barcelona and INDRUM}, author={Hoffmann, Max and Schlüter, Sarah}, editor={González-Martín, Alejandro S. and Gueudet, Ghislaine and Florensa, Ignasi and Lombard, Nathan}, year={2024} }","mla":"Hoffmann, Max, and Sarah Schlüter. “How Do Advanced Pre-Service Teachers Develop Congruence Theorems for Quadrilaterals?” <i>Proceedings of the Fifth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2024, 10-14 June 2024)</i>, edited by Alejandro S. González-Martín et al., Escola Univerist`aria Salesiana de Sarri`a – Univ. Aut`onoma de Barcelona and INDRUM, 2024.","apa":"Hoffmann, M., &#38; Schlüter, S. (2024). How Do Advanced Pre-Service Teachers Develop Congruence Theorems for Quadrilaterals? In A. S. González-Martín, G. Gueudet, I. Florensa, &#38; N. Lombard (Eds.), <i>Proceedings of the Fifth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2024, 10-14 June 2024)</i>. Escola Univerist`aria Salesiana de Sarri`a – Univ. Aut`onoma de Barcelona and INDRUM.","ieee":"M. Hoffmann and S. Schlüter, “How Do Advanced Pre-Service Teachers Develop Congruence Theorems for Quadrilaterals?,” in <i>Proceedings of the Fifth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2024, 10-14 June 2024)</i>, 2024."},"file_date_updated":"2025-01-02T10:42:21Z","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://indrum2024.sciencesconf.org/data/pages/Proceedings_INDRUM2024.pdf"}],"publication_status":"published","date_updated":"2025-01-02T10:45:59Z","author":[{"full_name":"Hoffmann, Max","first_name":"Max","last_name":"Hoffmann","orcid":"0000-0002-6964-7123","id":"32202"},{"last_name":"Schlüter","first_name":"Sarah","full_name":"Schlüter, Sarah"}],"title":"How Do Advanced Pre-Service Teachers Develop Congruence Theorems for Quadrilaterals?","year":"2024","department":[{"_id":"97"},{"_id":"643"}],"type":"conference","keyword":["Teachers’ and students’ practices at university level","Transition to","across and from university mathematics","Teaching and learning of specific topics in university mathematics","Congruence","Quadrilaterals"],"date_created":"2025-01-02T10:45:53Z","file":[{"relation":"main_file","date_updated":"2025-01-02T10:42:21Z","file_name":"2024_Hoffmann_Schlueter_CongruenceQuadrilaterals.pdf","access_level":"closed","file_size":315111,"file_id":"57896","content_type":"application/pdf","success":1,"creator":"maxh","date_created":"2025-01-02T10:42:21Z"}],"abstract":[{"lang":"eng","text":"In our paper, we present a study in which we investigate which strategies pre-service teachers (PSTs) use to find and, if necessary, reject possible candidates for congruence theorems for quadrilaterals. This study was conducted before the PTSs attended a university geometry course. In this way, statements about learning prerequisites can be made. For the study, we analyzed group discussions of PSTs to identify typical approaches and evaluate them from a mathematical perspective. The results can be considered for the further development of courses for PSTs and generate hypotheses\r\nfor further research."}],"publication":"Proceedings of the Fifth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2024, 10-14 June 2024)"},{"volume":9,"user_id":"83392","ddc":["006"],"_id":"56983","publisher":"ACM","page":"3994 - 3999","has_accepted_license":"1","conference":{"end_date":"2024-10-25","location":"Boise, ID, USA","start_date":"2024-10-21","name":"CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management"},"status":"public","project":[{"name":"NEBULA: Nutzerzentrierte KI-basierte Erkennung von Fake-News und Fehlinformationen","_id":"412"}],"quality_controlled":"1","citation":{"bibtex":"@inproceedings{Qudus_Röder_Vollmers_Ngonga Ngomo_2024, title={ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification}, volume={9}, DOI={<a href=\"https://doi.org/10.1145/3627673.3679923\">10.1145/3627673.3679923</a>}, booktitle={Proceedings of the 33rd ACM International Conference on Information and Knowledge Management}, publisher={ACM}, author={Qudus, Umair and Röder, Michael and Vollmers, Daniel and Ngonga Ngomo, Axel-Cyrille}, year={2024}, pages={3994–3999} }","ama":"Qudus U, Röder M, Vollmers D, Ngonga Ngomo A-C. ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification. In: <i>Proceedings of the 33rd ACM International Conference on Information and Knowledge Management</i>. Vol 9. ACM; 2024:3994-3999. doi:<a href=\"https://doi.org/10.1145/3627673.3679923\">10.1145/3627673.3679923</a>","mla":"Qudus, Umair, et al. “ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification.” <i>Proceedings of the 33rd ACM International Conference on Information and Knowledge Management</i>, vol. 9, ACM, 2024, pp. 3994–99, doi:<a href=\"https://doi.org/10.1145/3627673.3679923\">10.1145/3627673.3679923</a>.","short":"U. Qudus, M. Röder, D. Vollmers, A.-C. Ngonga Ngomo, in: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, 2024, pp. 3994–3999.","chicago":"Qudus, Umair, Michael Röder, Daniel Vollmers, and Axel-Cyrille Ngonga Ngomo. “ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification.” In <i>Proceedings of the 33rd ACM International Conference on Information and Knowledge Management</i>, 9:3994–99. ACM, 2024. <a href=\"https://doi.org/10.1145/3627673.3679923\">https://doi.org/10.1145/3627673.3679923</a>.","ieee":"U. Qudus, M. Röder, D. Vollmers, and A.-C. Ngonga Ngomo, “ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification,” in <i>Proceedings of the 33rd ACM International Conference on Information and Knowledge Management</i>, Boise, ID, USA, 2024, vol. 9, pp. 3994–3999, doi: <a href=\"https://doi.org/10.1145/3627673.3679923\">10.1145/3627673.3679923</a>.","apa":"Qudus, U., Röder, M., Vollmers, D., &#38; Ngonga Ngomo, A.-C. (2024). ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification. <i>Proceedings of the 33rd ACM International Conference on Information and Knowledge Management</i>, <i>9</i>, 3994–3999. <a href=\"https://doi.org/10.1145/3627673.3679923\">https://doi.org/10.1145/3627673.3679923</a>"},"file_date_updated":"2024-11-11T13:24:19Z","popular_science":"1","doi":"10.1145/3627673.3679923","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://dl.acm.org/doi/10.1145/3627673.3679923"}],"intvolume":"         9","publication_status":"published","date_updated":"2025-09-11T09:49:07Z","author":[{"id":"83392","full_name":"Qudus, Umair","first_name":"Umair","orcid":"0000-0001-6714-8729","last_name":"Qudus"},{"id":"67199","full_name":"Röder, Michael","first_name":"Michael","orcid":"https://orcid.org/0000-0002-8609-8277","last_name":"Röder"},{"full_name":"Vollmers, Daniel","first_name":"Daniel","last_name":"Vollmers"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille","id":"65716"}],"publication_identifier":{"isbn":["79-8-4007-0436-9/24/10"]},"title":"ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification","year":"2024","type":"conference","keyword":["Stance Classification","Few-shot in-context learning","Pre-trained large language models"],"date_created":"2024-11-11T13:15:25Z","file":[{"relation":"main_file","date_updated":"2024-11-11T13:24:19Z","file_name":"public.pdf","file_size":531579,"access_level":"closed","file_id":"56984","content_type":"application/pdf","success":1,"creator":"uqudus","date_created":"2024-11-11T13:24:19Z"}],"abstract":[{"lang":"eng","text":"Detecting the veracity of a statement automatically is a challenge the world is grappling with due to the vast amount of data spread across the web. Verifying a given claim typically entails validating it within the framework of supporting evidence like a retrieved piece of text. Classifying the stance of the text with respect to the claim is called stance classification. Despite advancements in automated fact-checking, most systems still rely on a substantial quantity of labeled training data, which can be costly. In this work, we avoid the costly training or fine-tuning of models by reusing pre-trained large language models together with few-shot in-context learning. Since we do not train any model, our approach ExPrompt is lightweight, demands fewer resources than other stance classification methods and can serve as a modern baseline for future developments. At the same time, our evaluation shows that our approach is able to outperform former state-of-the-art stance classification approaches regarding accuracy by at least 2 percent. Our scripts and data used in this paper are available at https://github.com/dice-group/ExPrompt."}],"publication":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management"},{"language":[{"iso":"eng"}],"date_updated":"2025-09-11T09:48:12Z","year":"2024","title":"FaVEL: Fact Validation Ensemble Learning","author":[{"full_name":"Qudus, Umair","last_name":"Qudus","orcid":"0000-0001-6714-8729","first_name":"Umair","id":"83392"},{"first_name":"Michael","orcid":"https://orcid.org/0000-0002-8609-8277","last_name":"Röder","full_name":"Röder, Michael","id":"67199"},{"full_name":"Tatkeu Pekarou, Franck Lionel","first_name":"Franck Lionel","last_name":"Tatkeu Pekarou"},{"id":"72108","full_name":"Morim da Silva, Ana Alexandra","first_name":"Ana Alexandra","last_name":"Morim da Silva"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"}],"corporate_editor":["Mehwish Alam"],"type":"conference","keyword":["fact checking","ensemble learning","transfer learning","knowledge management."],"department":[{"_id":"34"}],"file":[{"date_updated":"2024-11-19T14:14:14Z","relation":"main_file","file_size":190661,"access_level":"closed","file_name":"favel.pdf","success":1,"content_type":"application/pdf","file_id":"57241","creator":"uqudus","date_created":"2024-11-19T14:14:14Z"}],"date_created":"2024-11-19T14:12:49Z","abstract":[{"lang":"eng","text":"Validating assertions before adding them to a knowledge graph is an essential part of its creation and maintenance. Due to the sheer size of knowledge graphs, automatic fact-checking approaches have been developed. These approaches rely on reference knowledge to decide whether a given assertion is correct. Recent hybrid approaches achieve good results by including several knowledge sources. However, it is often impractical to provide a sheer quantity of textual knowledge or generate embedding models to leverage these hybrid approaches. We present FaVEL, an approach that uses algorithm selection and ensemble learning to amalgamate several existing fact-checking approaches that rely solely on a reference knowledge graph and, hence, use fewer resources than current hybrid approaches. For our evaluation, we create updated versions of two existing datasets and a new dataset dubbed FaVEL-DS. Our evaluation compares our approach to 15 fact-checking approaches—including the state-of-the-art approach HybridFC—on 3 datasets. Our results demonstrate that FaVEL outperforms all other approaches significantly by at least 0.04 in terms of the area under the ROC curve. Our source code, datasets, and evaluation results are open-source and can be found at https://github.com/dice-group/favel."}],"publication":"EKAW 2024","user_id":"83392","ddc":["600"],"editor":[{"last_name":"Rospocher","first_name":"Marco","full_name":"Rospocher, Marco"}],"_id":"57240","has_accepted_license":"1","status":"public","conference":{"end_date":"2024-11-28","location":"Amsterdam, Netherlands","start_date":"2024-11-26","name":"24th International Conference on Knowledge Engineering and Knowledge Management"},"quality_controlled":"1","project":[{"name":"NEBULA: Nutzerzentrierte KI-basierte Erkennung von Fake-News und Fehlinformationen","_id":"412"},{"_id":"285","name":"SAIL: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen"},{"name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale","_id":"410"}],"popular_science":"1","file_date_updated":"2024-11-19T14:14:14Z","citation":{"chicago":"Qudus, Umair, Michael Röder, Franck Lionel Tatkeu Pekarou, Ana Alexandra Morim da Silva, and Axel-Cyrille Ngonga Ngomo. “FaVEL: Fact Validation Ensemble Learning.” In <i>EKAW 2024</i>, edited by Marco Rospocher and Mehwish Alam, 2024.","short":"U. Qudus, M. Röder, F.L. Tatkeu Pekarou, A.A. Morim da Silva, A.-C. Ngonga Ngomo, in: M. Rospocher, Mehwish Alam (Eds.), EKAW 2024, 2024.","ieee":"U. Qudus, M. Röder, F. L. Tatkeu Pekarou, A. A. Morim da Silva, and A.-C. Ngonga Ngomo, “FaVEL: Fact Validation Ensemble Learning,” in <i>EKAW 2024</i>, Amsterdam, Netherlands, 2024.","apa":"Qudus, U., Röder, M., Tatkeu Pekarou, F. L., Morim da Silva, A. A., &#38; Ngonga Ngomo, A.-C. (2024). FaVEL: Fact Validation Ensemble Learning. In M. Rospocher &#38; Mehwish Alam (Eds.), <i>EKAW 2024</i>.","bibtex":"@inproceedings{Qudus_Röder_Tatkeu Pekarou_Morim da Silva_Ngonga Ngomo_2024, title={FaVEL: Fact Validation Ensemble Learning}, booktitle={EKAW 2024}, author={Qudus, Umair and Röder, Michael and Tatkeu Pekarou, Franck Lionel and Morim da Silva, Ana Alexandra and Ngonga Ngomo, Axel-Cyrille}, editor={Rospocher, Marco and Mehwish Alam}, year={2024} }","ama":"Qudus U, Röder M, Tatkeu Pekarou FL, Morim da Silva AA, Ngonga Ngomo A-C. FaVEL: Fact Validation Ensemble Learning. In: Rospocher M, Mehwish Alam, eds. <i>EKAW 2024</i>. ; 2024.","mla":"Qudus, Umair, et al. “FaVEL: Fact Validation Ensemble Learning.” <i>EKAW 2024</i>, edited by Marco Rospocher and Mehwish Alam, 2024."}},{"related_material":{"link":[{"url":"https://www.theo-web.de/fileadmin/user_upload/theo-web/pdfs/23-jahrgang-2024-heft-2/aktuelle-paedagogische-und-hermeneutische-ansaetze-aus-judentum-christentum-und-islam-in-kindertora-kinderbibel-und-kinderkoran-identitaetsbildung-diversitaetssensible-religionspaedagogik-und-normative-diskurse.pdf","relation":"confirmation"}]},"abstract":[{"lang":"ger","text":"Dieser Beitrag untersucht aktuelle pädagogische und hermeneutische Ansätze der\r\njüdischen, christlichen und muslimischen Religionspädagogik in Kindertora, Kinderbibel\r\nund Kinderkoran. Er betont die Notwendigkeit für Lehrkräfte, sich mit den spezifischen\r\npädagogischen und hermeneutischen Ansätzen der drei monotheistischen Religionen\r\nvertraut zu machen, um die didaktischen Heiligen Schriften im Unterricht angemessen\r\nnutzen zu können. Beispiele aus dem aktuellen Religionsunterricht zeigen\r\nMissverständnisse und Überraschungen auf, die durch unzureichendes Wissen entstehen.\r\nDer Artikel hebt die Bedeutung einer jüdischen Identitätsbildung, einer christlichen\r\ndiversitätssensiblen Perspektive und von muslimischen normativen Diskursen in den\r\nverschiedenen Religionspädagogiken hervor und diskutiert die Herausforderungen und\r\nChancen, die mit der Nutzung didaktisierter Heiliger Schriften verbunden sind.\r\n"},{"text":"This article examines current pedagogical and hermeneutical approaches to Jewish,\r\nChristian and Muslim religious education in the Children’s Torah, Children’s Bible and\r\nChildren’s Quran. It emphasizes the need for teachers to familiarize themselves with the\r\nspecific pedagogical and hermeneutical approaches of the three monotheistic religions in\r\norder to be able to use the didactic Holy Scriptures appropriately in the classroom.\r\nExamples from current religious education lessons show misunderstandings and\r\nsurprises that arise due to insufficient knowledge. The article emphasizes the importance\r\nof Jewish identity formation, a Christian diversity-sensitive perspective and Muslim\r\nnormative discourses in the various religious pedagogies and discusses the challenges\r\nand opportunities associated with the use of didactic Holy Scriptures.\r\n","lang":"eng"}],"publication":"TheoWeb. Zeitschrift für Religionspädagogik","type":"journal_article","keyword":["Heilige Schriften","interreligiöses Lernen","Schrifthermeneutik","Identität","diversitätssensible Religionspädagogik","jüdische Religionspädagogik","muslimische Religionspädagogik","christliche Religionspädagogik","Holy scriptures","interreligious learning","hermeneutics of scripture","identity","diversity-sensitive religious education","Jewish religious education","Muslim religious education","Christian religious education"],"department":[{"_id":"20"},{"_id":"500"}],"file":[{"date_created":"2026-03-27T08:04:06Z","creator":"keuchen","content_type":"application/pdf","success":1,"file_id":"65164","date_updated":"2026-03-27T08:04:06Z","relation":"main_file","access_level":"closed","file_size":223437,"file_name":"aktuelle-paedagogische-und-hermeneutische-ansaetze-aus-judentum-christentum-und-islam-in-kindertora-kinderbibel-und-kinderkoran-identitaetsbildung-diversitaetssensible-religionspaedagogik-und-normative-diskurse.pdf"}],"date_created":"2026-03-27T08:06:54Z","date_updated":"2026-03-27T18:41:17Z","publication_status":"published","intvolume":"         2","article_type":"original","title":"Aktuelle pädagogische und hermeneutische Ansätze aus Judentum, Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung, diversitätssensible Religionspädagogik und normative Diskurse","year":"2024","author":[{"last_name":"Keuchen","first_name":"Marion","orcid":"https://orcid.org/0009-0000-9904-6479","full_name":"Keuchen, Marion","id":"251"}],"doi":"10.23770/tw0360","main_file_link":[{"url":"https://www.theo-web.de/fileadmin/user_upload/theo-web/pdfs/23-jahrgang-2024-heft-2/aktuelle-paedagogische-und-hermeneutische-ansaetze-aus-judentum-christentum-und-islam-in-kindertora-kinderbibel-und-kinderkoran-identitaetsbildung-diversitaetssensible-religionspaedagogik-und-normative-diskurse.pdf","open_access":"1"}],"language":[{"iso":"ger"}],"quality_controlled":"1","file_date_updated":"2026-03-27T08:04:06Z","citation":{"ama":"Keuchen M. Aktuelle pädagogische und hermeneutische Ansätze aus Judentum, Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung, diversitätssensible Religionspädagogik und normative Diskurse. <i>TheoWeb Zeitschrift für Religionspädagogik</i>. 2024;2:224-237. doi:<a href=\"https://doi.org/10.23770/tw0360\">10.23770/tw0360</a>","bibtex":"@article{Keuchen_2024, title={Aktuelle pädagogische und hermeneutische Ansätze aus Judentum, Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung, diversitätssensible Religionspädagogik und normative Diskurse}, volume={2}, DOI={<a href=\"https://doi.org/10.23770/tw0360\">10.23770/tw0360</a>}, journal={TheoWeb. Zeitschrift für Religionspädagogik}, author={Keuchen, Marion}, year={2024}, pages={224–237} }","mla":"Keuchen, Marion. “Aktuelle pädagogische und hermeneutische Ansätze aus Judentum, Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung, diversitätssensible Religionspädagogik und normative Diskurse.” <i>TheoWeb. Zeitschrift für Religionspädagogik</i>, vol. 2, 2024, pp. 224–37, doi:<a href=\"https://doi.org/10.23770/tw0360\">10.23770/tw0360</a>.","short":"M. Keuchen, TheoWeb. Zeitschrift für Religionspädagogik 2 (2024) 224–237.","chicago":"Keuchen, Marion. “Aktuelle pädagogische und hermeneutische Ansätze aus Judentum, Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung, diversitätssensible Religionspädagogik und normative Diskurse.” <i>TheoWeb. Zeitschrift für Religionspädagogik</i> 2 (2024): 224–37. <a href=\"https://doi.org/10.23770/tw0360\">https://doi.org/10.23770/tw0360</a>.","apa":"Keuchen, M. (2024). Aktuelle pädagogische und hermeneutische Ansätze aus Judentum, Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung, diversitätssensible Religionspädagogik und normative Diskurse. <i>TheoWeb. Zeitschrift für Religionspädagogik</i>, <i>2</i>, 224–237. <a href=\"https://doi.org/10.23770/tw0360\">https://doi.org/10.23770/tw0360</a>","ieee":"M. Keuchen, “Aktuelle pädagogische und hermeneutische Ansätze aus Judentum, Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung, diversitätssensible Religionspädagogik und normative Diskurse,” <i>TheoWeb. Zeitschrift für Religionspädagogik</i>, vol. 2, pp. 224–237, 2024, doi: <a href=\"https://doi.org/10.23770/tw0360\">10.23770/tw0360</a>."},"oa":"1","has_accepted_license":"1","status":"public","ddc":["200"],"user_id":"251","volume":2,"page":"224-237","_id":"65163"},{"user_id":"60721","main_file_link":[{"url":"https://scholarspace.manoa.hawaii.edu/items/2ddab486-5d2f-4302-8de3-a8b24017da3d","open_access":"1"}],"_id":"45270","language":[{"iso":"eng"}],"date_updated":"2024-01-10T15:16:37Z","publication_status":"published","title":"Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features","year":"2023","status":"public","conference":{"name":"Hawaii International Conference on System Sciences","start_date":"2023-01-03","end_date":"2023-01-06"},"author":[{"id":"87673","last_name":"Halimeh","first_name":"Haya","full_name":"Halimeh, Haya"},{"full_name":"Caron, Matthew","last_name":"Caron","first_name":"Matthew","id":"60721"},{"id":"72849","full_name":"Müller, Oliver","first_name":"Oliver","last_name":"Müller"}],"type":"conference","keyword":["Social Media and Healthcare Technology","early depression detection","liwc","mental health","transfer learning","transformer architectures"],"oa":"1","department":[{"_id":"195"},{"_id":"196"}],"date_created":"2023-05-25T10:25:21Z","abstract":[{"lang":"eng","text":"Clinical depression is a serious mental disorder that poses challenges for both personal and public health. Millions of people struggle with depression each year, but for many, the disorder goes undiagnosed or untreated. Over the last decade, early depression detection on social media emerged as an interdisciplinary research field. However, there is still a gap in detecting hesitant, depression-susceptible individuals with minimal direct depressive signals at an early stage. We, therefore, take up this open point and leverage posts from Reddit to fill the addressed gap. Our results demonstrate the potential of contemporary Transformer architectures in yielding promising predictive capabilities for mental health research. Furthermore, we investigate the model’s interpretability using a surrogate and a topic modeling approach. Based on our findings, we consider this work as a further step towards developing a better understanding of mental eHealth and hope that our results can support the development of future technologies."}],"related_material":{"link":[{"relation":"confirmation","url":"https://hdl.handle.net/10125/103046"}]},"publication":"Hawaii International Conference on System Sciences","citation":{"ieee":"H. Halimeh, M. Caron, and O. Müller, “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features,” presented at the Hawaii International Conference on System Sciences, 2023.","apa":"Halimeh, H., Caron, M., &#38; Müller, O. (2023). Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features. <i>Hawaii International Conference on System Sciences</i>. Hawaii International Conference on System Sciences.","chicago":"Halimeh, Haya, Matthew Caron, and Oliver Müller. “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features.” In <i>Hawaii International Conference on System Sciences</i>, 2023.","short":"H. Halimeh, M. Caron, O. Müller, in: Hawaii International Conference on System Sciences, 2023.","mla":"Halimeh, Haya, et al. “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features.” <i>Hawaii International Conference on System Sciences</i>, 2023.","bibtex":"@inproceedings{Halimeh_Caron_Müller_2023, title={Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features}, booktitle={Hawaii International Conference on System Sciences}, author={Halimeh, Haya and Caron, Matthew and Müller, Oliver}, year={2023} }","ama":"Halimeh H, Caron M, Müller O. Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features. In: <i>Hawaii International Conference on System Sciences</i>. ; 2023."}},{"publication":"The Semantic Web – ISWC 2023","abstract":[{"lang":"eng","text":"Verifying assertions is an essential part of creating and maintaining knowledge graphs. Most often, this task cannot be carried out manually due to the sheer size of modern knowledge graphs. Hence, automatic fact-checking approaches have been proposed over the last decade. These approaches aim to compute automatically whether a given assertion is correct or incorrect. However, most fact-checking approaches are binary classifiers that fail to consider the volatility of some assertions, i.e., the fact that such assertions are only valid at certain times or for specific time intervals. Moreover, the few approaches able to predict when an assertion was valid (i.e., time-point prediction approaches) rely on manual feature engineering. This paper presents TEMPORALFC, a temporal fact-checking approach that uses multiple sources of background knowledge to assess the veracity and temporal validity of a given assertion. We evaluate TEMPORALFC on two datasets and compare it to the state of the art in fact-checking and time-point prediction. Our results suggest that TEMPORALFC outperforms the state of the art on the fact-checking task by 0.13 to 0.15 in terms of Area Under the Receiver Operating Characteristic curve and on the time-point prediction task by 0.25 to 0.27 in terms of Mean Reciprocal Rank. Our code is open-source and can be found at https://github.com/dice-group/TemporalFC."}],"date_created":"2024-01-13T11:22:15Z","file":[{"date_created":"2024-01-13T11:25:48Z","creator":"uqudus","file_id":"50480","content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2024-01-13T11:25:48Z","file_name":"ISWC 2023 TemporalFC-A Temporal Fact Checking approach over Knowledge Graphs.pdf","file_size":1944818,"access_level":"closed"}],"department":[{"_id":"34"}],"type":"conference","keyword":["temporal fact checking · ensemble learning · transfer learning · time-point prediction · temporal knowledge graphs"],"author":[{"first_name":"Umair","last_name":"Qudus","full_name":"Qudus, Umair"},{"last_name":"Röder","first_name":"Michael","full_name":"Röder, Michael"},{"full_name":"Kirrane, Sabrina","first_name":"Sabrina","last_name":"Kirrane"},{"full_name":"Ngomo, Axel-Cyrille Ngonga","first_name":"Axel-Cyrille Ngonga","last_name":"Ngomo"}],"publication_identifier":{"isbn":["9783031472398","9783031472404"],"issn":["0302-9743","1611-3349"]},"year":"2023","title":"TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs","intvolume":"     14265","date_updated":"2024-01-13T11:48:28Z","publication_status":"published","language":[{"iso":"eng"}],"series_title":" Lecture Notes in Computer Science","doi":"10.1007/978-3-031-47240-4_25","citation":{"short":"U. Qudus, M. Röder, S. Kirrane, A.-C.N. Ngomo, in: T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, J. Li (Eds.), The Semantic Web – ISWC 2023, Springer, Cham, Cham, 2023, pp. 465–483.","chicago":"Qudus, Umair, Michael Röder, Sabrina Kirrane, and Axel-Cyrille Ngonga Ngomo. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.” In <i>The Semantic Web – ISWC 2023</i>, edited by Terry R. Payne, Valentina Presutti, Guilin Qi, María Poveda-Villalón, Giorgos Stoilos, Laura Hollink, Zoi Kaoudi, Gong Cheng, and Juanzi Li, 14265:465–483.  Lecture Notes in Computer Science. Cham: Springer, Cham, 2023. <a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">https://doi.org/10.1007/978-3-031-47240-4_25</a>.","ieee":"U. Qudus, M. Röder, S. Kirrane, and A.-C. N. Ngomo, “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs,” in <i>The Semantic Web – ISWC 2023</i>, Athens, Greece, 2023, vol. 14265, pp. 465–483, doi: <a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">10.1007/978-3-031-47240-4_25</a>.","apa":"Qudus, U., Röder, M., Kirrane, S., &#38; Ngomo, A.-C. N. (2023). TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs. In T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, &#38; J. Li (Eds.), <i>The Semantic Web – ISWC 2023</i> (Vol. 14265, pp. 465–483). Springer, Cham. <a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">https://doi.org/10.1007/978-3-031-47240-4_25</a>","bibtex":"@inproceedings{Qudus_Röder_Kirrane_Ngomo_2023, place={Cham}, series={ Lecture Notes in Computer Science}, title={TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs}, volume={14265}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">10.1007/978-3-031-47240-4_25</a>}, booktitle={The Semantic Web – ISWC 2023}, publisher={Springer, Cham}, author={Qudus, Umair and Röder, Michael and Kirrane, Sabrina and Ngomo, Axel-Cyrille Ngonga}, editor={R. Payne, Terry and Presutti, Valentina and Qi, Guilin and Poveda-Villalón, María and Stoilos, Giorgos and Hollink, Laura and Kaoudi, Zoi and Cheng, Gong and Li, Juanzi}, year={2023}, pages={465–483}, collection={ Lecture Notes in Computer Science} }","ama":"Qudus U, Röder M, Kirrane S, Ngomo A-CN. TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs. In: R. Payne T, Presutti V, Qi G, et al., eds. <i>The Semantic Web – ISWC 2023</i>. Vol 14265.  Lecture Notes in Computer Science. Springer, Cham; 2023:465–483. doi:<a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">10.1007/978-3-031-47240-4_25</a>","mla":"Qudus, Umair, et al. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.” <i>The Semantic Web – ISWC 2023</i>, edited by Terry R. Payne et al., vol. 14265, Springer, Cham, 2023, pp. 465–483, doi:<a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">10.1007/978-3-031-47240-4_25</a>."},"file_date_updated":"2024-01-13T11:25:48Z","project":[{"name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale","_id":"410","grant_number":"860801"}],"place":"Cham","conference":{"end_date":"2023-11-10","name":"The Semantic Web – ISWC 2023","start_date":"2023-11-06","location":"Athens, Greece"},"jel":["C"],"status":"public","has_accepted_license":"1","publisher":"Springer, Cham","_id":"50479","page":"465–483","editor":[{"last_name":"R. Payne","first_name":"Terry","full_name":"R. Payne, Terry"},{"full_name":"Presutti, Valentina","first_name":"Valentina","last_name":"Presutti"},{"full_name":"Qi, Guilin","last_name":"Qi","first_name":"Guilin"},{"full_name":"Poveda-Villalón, María","first_name":"María","last_name":"Poveda-Villalón"},{"first_name":"Giorgos","last_name":"Stoilos","full_name":"Stoilos, Giorgos"},{"last_name":"Hollink","first_name":"Laura","full_name":"Hollink, Laura"},{"full_name":"Kaoudi, Zoi","first_name":"Zoi","last_name":"Kaoudi"},{"full_name":"Cheng, Gong","last_name":"Cheng","first_name":"Gong"},{"first_name":"Juanzi","last_name":"Li","full_name":"Li, Juanzi"}],"volume":14265,"ddc":["006"],"user_id":"83392"},{"date_created":"2024-03-25T10:16:24Z","department":[{"_id":"152"}],"type":"conference","keyword":["synthetic training data","machine vision quality gates","deep learning","automated inspection and quality control","production control"],"publication":"Lectures","abstract":[{"text":"Manufacturing companies face the challenge of reaching required quality standards. Using\r\noptical sensors and deep learning might help. However, training deep learning algorithms\r\nrequire large amounts of visual training data. Using domain randomization to generate synthetic\r\nimage data can alleviate this bottleneck. This paper presents the application of synthetic\r\nimage training data for optical quality inspections using visual sensor technology. The results\r\nshow synthetically generated training data are appropriate for visual quality inspections.","lang":"eng"}],"language":[{"iso":"eng"}],"doi":"10.5162/smsi2023/d7.4","author":[{"id":"47565","full_name":"Gräßler, Iris","first_name":"Iris","orcid":"0000-0001-5765-971X","last_name":"Gräßler"},{"id":"72252","last_name":"Hieb","first_name":"Michael","full_name":"Hieb, Michael"}],"title":"Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing","year":"2023","date_updated":"2024-03-25T11:05:53Z","publication_status":"published","citation":{"ieee":"I. Gräßler and M. Hieb, “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing,” in <i>Lectures</i>, Nuremberg, 2023, pp. 253–524, doi: <a href=\"https://doi.org/10.5162/smsi2023/d7.4\">10.5162/smsi2023/d7.4</a>.","apa":"Gräßler, I., &#38; Hieb, M. (2023). Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing. <i>Lectures</i>, 253–524. <a href=\"https://doi.org/10.5162/smsi2023/d7.4\">https://doi.org/10.5162/smsi2023/d7.4</a>","short":"I. Gräßler, M. Hieb, in: Lectures, AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023, pp. 253–524.","chicago":"Gräßler, Iris, and Michael Hieb. “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing.” In <i>Lectures</i>, 253–524. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023. <a href=\"https://doi.org/10.5162/smsi2023/d7.4\">https://doi.org/10.5162/smsi2023/d7.4</a>.","mla":"Gräßler, Iris, and Michael Hieb. “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing.” <i>Lectures</i>, AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023, pp. 253–524, doi:<a href=\"https://doi.org/10.5162/smsi2023/d7.4\">10.5162/smsi2023/d7.4</a>.","bibtex":"@inproceedings{Gräßler_Hieb_2023, title={Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing}, DOI={<a href=\"https://doi.org/10.5162/smsi2023/d7.4\">10.5162/smsi2023/d7.4</a>}, booktitle={Lectures}, publisher={AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany}, author={Gräßler, Iris and Hieb, Michael}, year={2023}, pages={253–524} }","ama":"Gräßler I, Hieb M. Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing. In: <i>Lectures</i>. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany; 2023:253-524. doi:<a href=\"https://doi.org/10.5162/smsi2023/d7.4\">10.5162/smsi2023/d7.4</a>"},"quality_controlled":"1","_id":"52816","publisher":"AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany","page":"253-524","user_id":"5905","conference":{"end_date":"2023-05-11","name":"SMSI 2023. Sensor and Measurement Science International","start_date":"2023-05-08","location":"Nuremberg"},"status":"public"},{"abstract":[{"text":"Die Rollenspiel-Methode ist ein handlungs- und anwendungsbezogenes Instrument, um Studierende bereits während der universitären Ausbildung für unterschiedliche professionelle Sicht- und Handlungsweisen zu sensibilisieren. In diesem Sinne stellt der folgende Beitrag ein Rollenspiel vor, welches als hochschuldidaktisches Material für die inklusionssensible Lehrer*innenbildung genutzt werden kann und Studierende auf zukünftige multiprofessionelle Kooperationshandlungen in der schulischen Praxis vorbereiten soll. Dieses bietet einen geeigneten Anlass, um die professionsübergreifende Zusammenarbeit „gefahrlos“ im Rahmen einer fiktiven kollegialen Fallkonferenz zu erproben sowie unterschiedliche pädagogische Professionsverständnisse aufzudecken und zu reflektieren. Darüber hinaus werden erste Durchführungserfahrungen und Evaluationsergebnisse diskutiert, die im Zuge der wissenschaftlichen Begleitforschung der Teilmaßnahme „Multiprofessionelle Kooperation in inklusiven Ganztagsschulen“ des Bielefelder QLB-Projekts BiProfessional erhoben wurden.","lang":"ger"}],"issue":"4","publication":"Zeitschrift für Konzepte Und Arbeitsmaterialien für Lehrer*innenbildung Und Unterricht","citation":{"mla":"Schuldt, Alessa, et al. “„Jede*r von Uns Sieht Die Situation Eben Unterschiedlich – Das Ist Zwar Eine Schwierigkeit, Aber Auch Eine Bereicherung“.” <i>Zeitschrift Für Konzepte Und Arbeitsmaterialien Für Lehrer*innenbildung Und Unterricht</i>, vol. 5, no. 4, 2023, doi:<a href=\"https://doi.org/10.11576/DIMAWE-6699\">10.11576/DIMAWE-6699</a>.","ama":"Schuldt A, Palm M, Neumann P, Böhm-Kasper O, Demmer C, Lütje-Klose B. „Jede*r von uns sieht die Situation eben unterschiedlich – das ist zwar eine Schwierigkeit, aber auch eine Bereicherung“. <i>Zeitschrift für Konzepte Und Arbeitsmaterialien für Lehrer*innenbildung Und Unterricht</i>. 2023;5(4). doi:<a href=\"https://doi.org/10.11576/DIMAWE-6699\">10.11576/DIMAWE-6699</a>","bibtex":"@article{Schuldt_Palm_Neumann_Böhm-Kasper_Demmer_Lütje-Klose_2023, title={„Jede*r von uns sieht die Situation eben unterschiedlich – das ist zwar eine Schwierigkeit, aber auch eine Bereicherung“}, volume={5}, DOI={<a href=\"https://doi.org/10.11576/DIMAWE-6699\">10.11576/DIMAWE-6699</a>}, number={4}, journal={Zeitschrift für Konzepte Und Arbeitsmaterialien für Lehrer*innenbildung Und Unterricht}, author={Schuldt, Alessa  and Palm, Manfred and Neumann, Phillip and Böhm-Kasper, Oliver and Demmer, Christine and Lütje-Klose, Birgit}, year={2023} }","apa":"Schuldt, A., Palm, M., Neumann, P., Böhm-Kasper, O., Demmer, C., &#38; Lütje-Klose, B. (2023). „Jede*r von uns sieht die Situation eben unterschiedlich – das ist zwar eine Schwierigkeit, aber auch eine Bereicherung“. <i>Zeitschrift Für Konzepte Und Arbeitsmaterialien Für Lehrer*innenbildung Und Unterricht</i>, <i>5</i>(4). <a href=\"https://doi.org/10.11576/DIMAWE-6699\">https://doi.org/10.11576/DIMAWE-6699</a>","ieee":"A. Schuldt, M. Palm, P. Neumann, O. Böhm-Kasper, C. Demmer, and B. Lütje-Klose, “„Jede*r von uns sieht die Situation eben unterschiedlich – das ist zwar eine Schwierigkeit, aber auch eine Bereicherung“,” <i>Zeitschrift für Konzepte Und Arbeitsmaterialien für Lehrer*innenbildung Und Unterricht</i>, vol. 5, no. 4, 2023, doi: <a href=\"https://doi.org/10.11576/DIMAWE-6699\">10.11576/DIMAWE-6699</a>.","chicago":"Schuldt, Alessa , Manfred Palm, Phillip Neumann, Oliver Böhm-Kasper, Christine Demmer, and Birgit Lütje-Klose. “„Jede*r von Uns Sieht Die Situation Eben Unterschiedlich – Das Ist Zwar Eine Schwierigkeit, Aber Auch Eine Bereicherung“.” <i>Zeitschrift Für Konzepte Und Arbeitsmaterialien Für Lehrer*innenbildung Und Unterricht</i> 5, no. 4 (2023). <a href=\"https://doi.org/10.11576/DIMAWE-6699\">https://doi.org/10.11576/DIMAWE-6699</a>.","short":"A. Schuldt, M. Palm, P. Neumann, O. Böhm-Kasper, C. Demmer, B. Lütje-Klose, Zeitschrift Für Konzepte Und Arbeitsmaterialien Für Lehrer*innenbildung Und Unterricht 5 (2023)."},"type":"journal_article","keyword":["Rollenspiel","mulitprofessionelle Kooperation","inklusionssensible Lehrerbildung","Hochschuldidaktik","Blended Learning"],"department":[{"_id":"479"}],"date_created":"2023-12-04T10:11:17Z","date_updated":"2024-03-27T11:27:33Z","intvolume":"         5","title":"„Jede*r von uns sieht die Situation eben unterschiedlich – das ist zwar eine Schwierigkeit, aber auch eine Bereicherung“","year":"2023","status":"public","author":[{"first_name":"Alessa ","last_name":"Schuldt","full_name":"Schuldt, Alessa "},{"full_name":"Palm, Manfred","last_name":"Palm","first_name":"Manfred"},{"id":"95559","first_name":"Phillip","last_name":"Neumann","full_name":"Neumann, Phillip"},{"full_name":"Böhm-Kasper, Oliver","first_name":"Oliver","last_name":"Böhm-Kasper"},{"full_name":"Demmer, Christine","first_name":"Christine","last_name":"Demmer"},{"full_name":"Lütje-Klose, Birgit","last_name":"Lütje-Klose","first_name":"Birgit"}],"user_id":"77750","doi":"10.11576/DIMAWE-6699","volume":5,"language":[{"iso":"eng"}],"_id":"49434"},{"_id":"39976","language":[{"iso":"eng"}],"user_id":"50915","doi":"https://doi.org/10.15663/ajte.v9.i0.103","volume":9,"year":"2023","title":"Technology education in elementary school using the example of 'learning robots' – development and evaluation of an in-service teacher training concept","status":"public","author":[{"full_name":"Janicki, Nicole","last_name":"Janicki","first_name":"Nicole","id":"50915"},{"last_name":"Tenberge","first_name":"Claudia","full_name":"Tenberge, Claudia","id":"67302"}],"publication_status":"published","date_updated":"2024-05-31T09:22:58Z","article_type":"original","intvolume":"         9","date_created":"2023-01-25T11:50:07Z","type":"journal_article","keyword":["technology education","teacher professionalisation","Computational Thinking","digitalization","learning robots"],"department":[{"_id":"588"}],"publication":"Australasian Journal of Technology Education","citation":{"mla":"Janicki, Nicole, and Claudia Tenberge. “Technology Education in Elementary School Using the Example of ‘learning Robots’ – Development and Evaluation of an in-Service Teacher Training Concept.” <i>Australasian Journal of Technology Education</i>, vol. 9, 2023, doi:<a href=\"https://doi.org/10.15663/ajte.v9.i0.103\">https://doi.org/10.15663/ajte.v9.i0.103</a>.","bibtex":"@article{Janicki_Tenberge_2023, title={Technology education in elementary school using the example of “learning robots” – development and evaluation of an in-service teacher training concept}, volume={9}, DOI={<a href=\"https://doi.org/10.15663/ajte.v9.i0.103\">https://doi.org/10.15663/ajte.v9.i0.103</a>}, journal={Australasian Journal of Technology Education}, author={Janicki, Nicole and Tenberge, Claudia}, year={2023} }","ama":"Janicki N, Tenberge C. Technology education in elementary school using the example of “learning robots” – development and evaluation of an in-service teacher training concept. <i>Australasian Journal of Technology Education</i>. 2023;9. doi:<a href=\"https://doi.org/10.15663/ajte.v9.i0.103\">https://doi.org/10.15663/ajte.v9.i0.103</a>","ieee":"N. Janicki and C. Tenberge, “Technology education in elementary school using the example of ‘learning robots’ – development and evaluation of an in-service teacher training concept,” <i>Australasian Journal of Technology Education</i>, vol. 9, 2023, doi: <a href=\"https://doi.org/10.15663/ajte.v9.i0.103\">https://doi.org/10.15663/ajte.v9.i0.103</a>.","apa":"Janicki, N., &#38; Tenberge, C. (2023). Technology education in elementary school using the example of “learning robots” – development and evaluation of an in-service teacher training concept. <i>Australasian Journal of Technology Education</i>, <i>9</i>. <a href=\"https://doi.org/10.15663/ajte.v9.i0.103\">https://doi.org/10.15663/ajte.v9.i0.103</a>","short":"N. Janicki, C. Tenberge, Australasian Journal of Technology Education 9 (2023).","chicago":"Janicki, Nicole, and Claudia Tenberge. “Technology Education in Elementary School Using the Example of ‘learning Robots’ – Development and Evaluation of an in-Service Teacher Training Concept.” <i>Australasian Journal of Technology Education</i> 9 (2023). <a href=\"https://doi.org/10.15663/ajte.v9.i0.103\">https://doi.org/10.15663/ajte.v9.i0.103</a>."},"abstract":[{"text":"The context of the study is the increasing digitalisation of the living environment of primary school students, which is to be introduced into primary schools according to theoretical and educational policy guidelines. In this regard, further teacher\r\ntraining on digital media in classrooms are particularly relevant, on the one hand to promote teachers’ digital-related pedagogical knowledge and content knowledge (DPaCK). On the other hand, studies also reveal positive correlations among teacher training, teaching activities, and students’ learning outcomes. In-service teacher training courses with adaptive support by a trainer in particular have\r\nproven to be effective. Against the background of various research studies on professional development of teachers, a corresponding model of tripartite learning outcomes has been established and serves as a broad theoretical framework. However, the specific relationship between in-service teacher training with adaptive support, DPaCK, and computational thinking of primary school students in the context of the German primary school subject Sachunterricht has not been sufficiently studied. Therefore, the following research questions can be derived: (1) To what extent does training with adaptive support on the topic of learning robots contribute to the development of teachers’ DPaCK? (2) Which effects can be ascertained on the students’ computational thinking in technology-related Sachunterricht? To investigate this relationship, an intervention study in a pre-post design with an experimental group, a control group, and a baseline is appropriate. As results are not yet available at this point, the present paper focuses on the presentation of the theoretical background and empirical approaches.","lang":"eng"}]},{"keyword":["Teaching and learning of specific topics in university mathematics","Transition to","across and from university mathematics","Student Teachers","Geometry","Congruence","Double Discontinuity."],"type":"conference","department":[{"_id":"97"}],"file":[{"content_type":"application/pdf","success":1,"file_id":"43096","date_updated":"2023-03-25T10:01:03Z","relation":"main_file","access_level":"closed","file_size":201942,"file_name":"HoffmannBiehler2022_indrum_congruence.pdf","date_created":"2023-03-25T10:01:03Z","creator":"maxh"}],"date_created":"2022-06-12T11:07:34Z","publication":"Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)","main_file_link":[{"url":"https://hal.univ-reims.fr/INDRUM2022/","open_access":"1"}],"language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2023-03-25T10:11:35Z","year":"2023","title":"Student Teachers ’ Knowledge of Congruence before a University Course on Geometry","author":[{"id":"32202","full_name":"Hoffmann, Max","orcid":"0000-0002-6964-7123","last_name":"Hoffmann","first_name":"Max"},{"last_name":"Biehler","first_name":"Rolf","full_name":"Biehler, Rolf","id":"16274"}],"oa":"1","place":"Hannover","quality_controlled":"1","file_date_updated":"2023-03-25T10:01:03Z","citation":{"mla":"Hoffmann, Max, and Rolf Biehler. “Student Teachers ’ Knowledge of Congruence before a University Course on Geometry.” <i>Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)</i>, edited by Marı́a Trigueros et al., University of Hannover and INDRUM., 2023.","ama":"Hoffmann M, Biehler R. Student Teachers ’ Knowledge of Congruence before a University Course on Geometry. In: Trigueros M, Barquero B, Hochmuth R, Peters J, eds. <i>Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)</i>. University of Hannover and INDRUM.; 2023.","bibtex":"@inproceedings{Hoffmann_Biehler_2023, place={Hannover}, title={Student Teachers ’ Knowledge of Congruence before a University Course on Geometry}, booktitle={Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)}, publisher={University of Hannover and INDRUM.}, author={Hoffmann, Max and Biehler, Rolf}, editor={Trigueros, Marı́a and Barquero, Berta and Hochmuth, Reinhard and Peters, Jana}, year={2023} }","apa":"Hoffmann, M., &#38; Biehler, R. (2023). Student Teachers ’ Knowledge of Congruence before a University Course on Geometry. In M. Trigueros, B. Barquero, R. Hochmuth, &#38; J. Peters (Eds.), <i>Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)</i>. University of Hannover and INDRUM.","ieee":"M. Hoffmann and R. Biehler, “Student Teachers ’ Knowledge of Congruence before a University Course on Geometry,” in <i>Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)</i>, 2023.","chicago":"Hoffmann, Max, and Rolf Biehler. “Student Teachers ’ Knowledge of Congruence before a University Course on Geometry.” In <i>Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)</i>, edited by Marı́a Trigueros, Berta Barquero, Reinhard Hochmuth, and Jana Peters. Hannover: University of Hannover and INDRUM., 2023.","short":"M. Hoffmann, R. Biehler, in: M. Trigueros, B. Barquero, R. Hochmuth, J. Peters (Eds.), Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022), University of Hannover and INDRUM., Hannover, 2023."},"user_id":"32202","ddc":["370","510"],"editor":[{"last_name":"Trigueros","first_name":"Marı́a","full_name":"Trigueros, Marı́a"},{"first_name":"Berta","last_name":"Barquero","full_name":"Barquero, Berta"},{"full_name":"Hochmuth, Reinhard","first_name":"Reinhard","last_name":"Hochmuth"},{"full_name":"Peters, Jana","last_name":"Peters","first_name":"Jana"}],"publisher":"University of Hannover and INDRUM.","_id":"31849","has_accepted_license":"1","status":"public"},{"publication":"Journal of Decision Systems","abstract":[{"text":"Many applications are driven by Machine Learning (ML) today. While complex ML models lead to an accurate prediction, their inner decision-making is obfuscated. However, especially for high-stakes decisions, interpretability and explainability of the model are necessary. Therefore, we develop a holistic interpretability and explainability framework (HIEF) to objectively describe and evaluate an intelligent system’s explainable AI (XAI) capacities. This guides data scientists to create more transparent models. To evaluate our framework, we analyse 50 real estate appraisal papers to ensure the robustness of HIEF. Additionally, we identify six typical types of intelligent systems, so-called archetypes, which range from explanatory to predictive, and demonstrate how researchers can use the framework to identify blind-spot topics in their domain. Finally, regarding comprehensiveness, we used a random sample of six intelligent systems and conducted an applicability check to provide external validity.","lang":"eng"}],"date_created":"2023-05-26T05:04:45Z","keyword":["Explainable AI (XAI)","machine learning","interpretability","real estate appraisal","framework","taxonomy"],"type":"journal_article","department":[{"_id":"195"},{"_id":"196"}],"year":"2023","title":"HIEF: a holistic interpretability and explainability framework","author":[{"id":"77066","first_name":"Jan-Peter","last_name":"Kucklick","full_name":"Kucklick, Jan-Peter"}],"publication_identifier":{"issn":["1246-0125","2116-7052"]},"date_updated":"2023-05-26T05:08:36Z","publication_status":"published","main_file_link":[{"url":"https://www.tandfonline.com/doi/full/10.1080/12460125.2023.2207268"}],"language":[{"iso":"eng"}],"doi":"10.1080/12460125.2023.2207268","citation":{"mla":"Kucklick, Jan-Peter. “HIEF: A Holistic Interpretability and Explainability Framework.” <i>Journal of Decision Systems</i>, Taylor &#38; Francis, 2023, pp. 1–41, doi:<a href=\"https://doi.org/10.1080/12460125.2023.2207268\">10.1080/12460125.2023.2207268</a>.","bibtex":"@article{Kucklick_2023, title={HIEF: a holistic interpretability and explainability framework}, DOI={<a href=\"https://doi.org/10.1080/12460125.2023.2207268\">10.1080/12460125.2023.2207268</a>}, journal={Journal of Decision Systems}, publisher={Taylor &#38; Francis}, author={Kucklick, Jan-Peter}, year={2023}, pages={1–41} }","ama":"Kucklick J-P. HIEF: a holistic interpretability and explainability framework. <i>Journal of Decision Systems</i>. Published online 2023:1-41. doi:<a href=\"https://doi.org/10.1080/12460125.2023.2207268\">10.1080/12460125.2023.2207268</a>","ieee":"J.-P. Kucklick, “HIEF: a holistic interpretability and explainability framework,” <i>Journal of Decision Systems</i>, pp. 1–41, 2023, doi: <a href=\"https://doi.org/10.1080/12460125.2023.2207268\">10.1080/12460125.2023.2207268</a>.","apa":"Kucklick, J.-P. (2023). HIEF: a holistic interpretability and explainability framework. <i>Journal of Decision Systems</i>, 1–41. <a href=\"https://doi.org/10.1080/12460125.2023.2207268\">https://doi.org/10.1080/12460125.2023.2207268</a>","short":"J.-P. Kucklick, Journal of Decision Systems (2023) 1–41.","chicago":"Kucklick, Jan-Peter. “HIEF: A Holistic Interpretability and Explainability Framework.” <i>Journal of Decision Systems</i>, 2023, 1–41. <a href=\"https://doi.org/10.1080/12460125.2023.2207268\">https://doi.org/10.1080/12460125.2023.2207268</a>."},"status":"public","page":"1-41","publisher":"Taylor & Francis","_id":"45299","user_id":"77066"},{"main_file_link":[{"url":"https://2023.eswc-conferences.org/wp-content/uploads/2023/05/paper_Kouagou_2023_Neural.pdf","open_access":"1"}],"language":[{"iso":"eng"}],"doi":"https://doi.org/10.1007/978-3-031-33455-9_13","title":"Neural Class Expression Synthesis","year":"2023","publication_identifier":{"unknown":["978-3-031-33455-9"]},"author":[{"first_name":"N'Dah Jean","last_name":"KOUAGOU","full_name":"KOUAGOU, N'Dah Jean","id":"87189"},{"id":"11871","full_name":"Heindorf, Stefan","last_name":"Heindorf","first_name":"Stefan","orcid":"0000-0002-4525-6865"},{"full_name":"Demir, Caglar","first_name":"Caglar","last_name":"Demir","id":"43817"},{"id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"date_updated":"2023-07-02T18:10:02Z","publication_status":"published","intvolume":"     13870","date_created":"2022-10-15T19:20:11Z","type":"conference","keyword":["Neural network","Concept learning","Description logics"],"department":[{"_id":"574"},{"_id":"760"}],"publication":"The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)","abstract":[{"lang":"eng","text":"Many applications require explainable node classification in knowledge graphs. Towards this end, a popular ``white-box'' approach is class expression learning: Given sets of positive and negative nodes, class expressions in description logics are learned that separate positive from negative nodes. Most existing approaches are search-based approaches generating many candidate class expressions and selecting the best one. However, they often take a long time to find suitable class expressions. In this paper, we cast class expression learning as a translation problem and propose a new family of class expression learning approaches which we dub neural class expression synthesizers. Training examples are ``translated'' into class expressions in a fashion akin to machine translation. Consequently, our synthesizers are not subject to the runtime limitations of search-based approaches. We study three instances of this novel family of approaches based on LSTMs, GRUs, and set transformers, respectively. An evaluation of our approach on four benchmark datasets suggests that it can effectively synthesize high-quality class expressions with respect to the input examples in approximately one second on average. Moreover, a comparison to state-of-the-art approaches suggests that we achieve better F-measures on large datasets. For reproducibility purposes, we provide our implementation as well as pretrained models in our public GitHub repository at https://github.com/dice-group/NeuralClassExpressionSynthesis"}],"page":"209 - 226","publisher":"Springer International Publishing","_id":"33734","user_id":"11871","editor":[{"full_name":"Pesquita, Catia","last_name":"Pesquita","first_name":"Catia"},{"first_name":"Ernesto","last_name":"Jimenez-Ruiz","full_name":"Jimenez-Ruiz, Ernesto"},{"full_name":"McCusker, Jamie","first_name":"Jamie","last_name":"McCusker"},{"first_name":"Daniel","last_name":"Faria","full_name":"Faria, Daniel"},{"last_name":"Dragoni","first_name":"Mauro","full_name":"Dragoni, Mauro"},{"first_name":"Anastasia","last_name":"Dimou","full_name":"Dimou, Anastasia"},{"full_name":"Troncy, Raphael","first_name":"Raphael","last_name":"Troncy"},{"full_name":"Hertling, Sven","last_name":"Hertling","first_name":"Sven"}],"volume":13870,"status":"public","conference":{"name":"20th Extended Semantic Web Conference","start_date":"2023-05-28","location":"Hersonissos, Crete, Greece","end_date":"2023-06-01"},"external_id":{"unknown":["https://link.springer.com/chapter/10.1007/978-3-031-33455-9_13"]},"oa":"1","citation":{"ieee":"N. J. KOUAGOU, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class Expression Synthesis,” in <i>The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)</i>, Hersonissos, Crete, Greece, 2023, vol. 13870, pp. 209–226, doi: <a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>.","apa":"KOUAGOU, N. J., Heindorf, S., Demir, C., &#38; Ngonga Ngomo, A.-C. (2023). Neural Class Expression Synthesis. In C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, &#38; S. Hertling (Eds.), <i>The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)</i> (Vol. 13870, pp. 209–226). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>","chicago":"KOUAGOU, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Neural Class Expression Synthesis.” In <i>The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)</i>, edited by Catia Pesquita, Ernesto Jimenez-Ruiz, Jamie McCusker, Daniel Faria, Mauro Dragoni, Anastasia Dimou, Raphael Troncy, and Sven Hertling, 13870:209–26. Springer International Publishing, 2023. <a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>.","short":"N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, S. Hertling (Eds.), The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), Springer International Publishing, 2023, pp. 209–226.","mla":"KOUAGOU, N’Dah Jean, et al. “Neural Class Expression Synthesis.” <i>The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)</i>, edited by Catia Pesquita et al., vol. 13870, Springer International Publishing, 2023, pp. 209–26, doi:<a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>.","bibtex":"@inproceedings{KOUAGOU_Heindorf_Demir_Ngonga Ngomo_2023, title={Neural Class Expression Synthesis}, volume={13870}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>}, booktitle={The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)}, publisher={Springer International Publishing}, author={KOUAGOU, N’Dah Jean and Heindorf, Stefan and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, editor={Pesquita, Catia and Jimenez-Ruiz, Ernesto and McCusker, Jamie and Faria, Daniel and Dragoni, Mauro and Dimou, Anastasia and Troncy, Raphael and Hertling, Sven}, year={2023}, pages={209–226} }","ama":"KOUAGOU NJ, Heindorf S, Demir C, Ngonga Ngomo A-C. Neural Class Expression Synthesis. In: Pesquita C, Jimenez-Ruiz E, McCusker J, et al., eds. <i>The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)</i>. Vol 13870. Springer International Publishing; 2023:209-226. doi:<a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>"},"project":[{"_id":"410","name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale"},{"name":"ENEXA: Efficient Explainable Learning on Knowledge Graphs","grant_number":"101070305","_id":"407"},{"name":"SAIL: SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems","_id":"285","grant_number":"NW21-059D"}]},{"language":[{"iso":"eng"}],"doi":"10.1016/j.cam.2022.114780","year":"2023","title":"Variational Learning of Euler–Lagrange Dynamics from Data","author":[{"first_name":"Sina","last_name":"Ober-Blöbaum","full_name":"Ober-Blöbaum, Sina","id":"16494"},{"full_name":"Offen, Christian","last_name":"Offen","orcid":"0000-0002-5940-8057","first_name":"Christian","id":"85279"}],"publication_identifier":{"issn":["0377-0427"]},"date_updated":"2023-08-10T08:42:39Z","publication_status":"epub_ahead","intvolume":"       421","article_type":"original","file":[{"relation":"main_file","date_updated":"2022-06-28T15:25:50Z","file_name":"ShadowLagrangian_revision1_journal_style_arxiv.pdf","file_size":3640770,"access_level":"open_access","title":"Variational Learning of Euler–Lagrange Dynamics from Data","file_id":"32274","content_type":"application/pdf","creator":"coffen","description":"The principle of least action is one of the most fundamental physical principle. It says that among all possible motions\nconnecting two points in a phase space, the system will exhibit those motions which extremise an action functional.\nMany qualitative features of dynamical systems, such as the presence of conservation laws and energy balance equa-\ntions, are related to the existence of an action functional. Incorporating variational structure into learning algorithms\nfor dynamical systems is, therefore, crucial in order to make sure that the learned model shares important features\nwith the exact physical system. In this paper we show how to incorporate variational principles into trajectory predic-\ntions of learned dynamical systems. The novelty of this work is that (1) our technique relies only on discrete position\ndata of observed trajectories. Velocities or conjugate momenta do not need to be observed or approximated and no\nprior knowledge about the form of the variational principle is assumed. Instead, they are recovered using backward\nerror analysis. (2) Moreover, our technique compensates discretisation errors when trajectories are computed from the\nlearned system. This is important when moderate to large step-sizes are used and high accuracy is required. For this,\nwe introduce and rigorously analyse the concept of inverse modified Lagrangians by developing an inverse version of\nvariational backward error analysis. (3) Finally, we introduce a method to perform system identification from position\nobservations only, based on variational backward error analysis.","date_created":"2022-06-28T15:25:50Z"}],"date_created":"2022-01-11T13:24:00Z","keyword":["Lagrangian learning","variational backward error analysis","modified Lagrangian","variational integrators","physics informed learning"],"type":"journal_article","department":[{"_id":"636"}],"publication":"Journal of Computational and Applied Mathematics","related_material":{"link":[{"relation":"software","url":"https://github.com/Christian-Offen/LagrangianShadowIntegration"}]},"abstract":[{"lang":"eng","text":"The principle of least action is one of the most fundamental physical principle. It says that among all possible motions connecting two points in a phase space, the system will exhibit those motions which extremise an action functional. Many qualitative features of dynamical systems, such as the presence of conservation laws and energy balance equations, are related to the existence of an action functional. Incorporating variational structure into learning algorithms for dynamical systems is, therefore, crucial in order to make sure that the learned model shares important features with the exact physical system. In this paper we show how to incorporate variational principles into trajectory predictions of learned dynamical systems. The novelty of this work is that (1) our technique relies only on discrete position data of observed trajectories. Velocities or conjugate momenta do not need to be observed or approximated and no prior knowledge about the form of the variational principle is assumed. Instead, they are recovered using backward error analysis. (2) Moreover, our technique compensates discretisation errors when trajectories are computed from the learned system. This is important when moderate to large step-sizes are used and high accuracy is required. For this,\r\nwe introduce and rigorously analyse the concept of inverse modified Lagrangians by developing an inverse version of variational backward error analysis. (3) Finally, we introduce a method to perform system identification from position observations only, based on variational backward error analysis."}],"page":"114780","publisher":"Elsevier","_id":"29240","ddc":["510"],"user_id":"85279","volume":421,"status":"public","has_accepted_license":"1","external_id":{"arxiv":["2112.12619"]},"oa":"1","file_date_updated":"2022-06-28T15:25:50Z","citation":{"short":"S. Ober-Blöbaum, C. Offen, Journal of Computational and Applied Mathematics 421 (2023) 114780.","chicago":"Ober-Blöbaum, Sina, and Christian Offen. “Variational Learning of Euler–Lagrange Dynamics from Data.” <i>Journal of Computational and Applied Mathematics</i> 421 (2023): 114780. <a href=\"https://doi.org/10.1016/j.cam.2022.114780\">https://doi.org/10.1016/j.cam.2022.114780</a>.","apa":"Ober-Blöbaum, S., &#38; Offen, C. (2023). Variational Learning of Euler–Lagrange Dynamics from Data. <i>Journal of Computational and Applied Mathematics</i>, <i>421</i>, 114780. <a href=\"https://doi.org/10.1016/j.cam.2022.114780\">https://doi.org/10.1016/j.cam.2022.114780</a>","ieee":"S. Ober-Blöbaum and C. Offen, “Variational Learning of Euler–Lagrange Dynamics from Data,” <i>Journal of Computational and Applied Mathematics</i>, vol. 421, p. 114780, 2023, doi: <a href=\"https://doi.org/10.1016/j.cam.2022.114780\">10.1016/j.cam.2022.114780</a>.","ama":"Ober-Blöbaum S, Offen C. Variational Learning of Euler–Lagrange Dynamics from Data. <i>Journal of Computational and Applied Mathematics</i>. 2023;421:114780. doi:<a href=\"https://doi.org/10.1016/j.cam.2022.114780\">10.1016/j.cam.2022.114780</a>","bibtex":"@article{Ober-Blöbaum_Offen_2023, title={Variational Learning of Euler–Lagrange Dynamics from Data}, volume={421}, DOI={<a href=\"https://doi.org/10.1016/j.cam.2022.114780\">10.1016/j.cam.2022.114780</a>}, journal={Journal of Computational and Applied Mathematics}, publisher={Elsevier}, author={Ober-Blöbaum, Sina and Offen, Christian}, year={2023}, pages={114780} }","mla":"Ober-Blöbaum, Sina, and Christian Offen. “Variational Learning of Euler–Lagrange Dynamics from Data.” <i>Journal of Computational and Applied Mathematics</i>, vol. 421, Elsevier, 2023, p. 114780, doi:<a href=\"https://doi.org/10.1016/j.cam.2022.114780\">10.1016/j.cam.2022.114780</a>."},"quality_controlled":"1"},{"department":[{"_id":"630"}],"type":"conference","keyword":["Joining","Structural Analysis","Machine Learning"],"date_created":"2025-06-23T08:08:23Z","abstract":[{"lang":"eng","text":"The focus towards multi-material and lightweight assemblies, driven by legal requirements on reducing emissions and energy consumptions, reveals important drawbacks and disadvantages of established joining processes, such as welding. In this context, mechanical joining technologies, such as clinching, are becoming more and more relevant especially in the automotive industry. However, the availability of only few standards and almost none systematic design methods causes a still very time- and cost-intensive assembly development process considering mainly expert knowledge and a considerable amount of experimental studies. Motivated by this, the presented work introduces a novel approach for the methodical design and dimensioning of mechanically clinched assemblies. Therefore, the utilization of regression models, such as machine learning algorithms, combined with manufacturing knowledge ensures a reliable estimation of individual clinched joint characteristics. In addition, the implementation of an engineering workbench enables the following data-driven and knowledge-based generation of high-quality initial assembly designs already in early product development phases. In a subsequent analysis and adjustment, these designs are being improved while guaranteeing joining safety and loading conformity. The presented results indicate that the methodological approach can pave the way to a more systematic design process of mechanical joining assemblies, which can significantly shorten the required number of iteration loops and therefore the product development time."}],"publication":"Materials Research Proceedings","doi":"10.21741/9781644902417-23","language":[{"iso":"eng"}],"intvolume":"        25","date_updated":"2025-06-23T08:15:07Z","publication_status":"published","author":[{"last_name":"Zirngibl","first_name":"Christoph","full_name":"Zirngibl, Christoph"},{"full_name":"Martin, Sven","first_name":"Sven","last_name":"Martin"},{"first_name":"Christian","last_name":"Steinfelder","full_name":"Steinfelder, Christian"},{"last_name":"Schleich","first_name":"Benjamin","full_name":"Schleich, Benjamin"},{"full_name":"Tröster, Thomas","first_name":"Thomas","last_name":"Tröster"},{"first_name":"Alexander","last_name":"Brosius","full_name":"Brosius, Alexander"},{"last_name":"Wartzack","first_name":"Sandro","full_name":"Wartzack, Sandro"}],"publication_identifier":{"issn":["2474-395X"]},"year":"2023","title":"Methodical approach for the design and dimensioning of mechanical clinched assemblies","project":[{"_id":"130","grant_number":"418701707","name":"TRR 285: TRR 285:  Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen Prozessketten"},{"name":"TRR 285 - B: TRR 285 - Project Area B","_id":"132"},{"name":"TRR 285 – B01: TRR 285 - Subproject B01","_id":"140"},{"_id":"144","name":"TRR 285 – B05: TRR 285 - Subproject B05"}],"citation":{"ama":"Zirngibl C, Martin S, Steinfelder C, et al. Methodical approach for the design and dimensioning of mechanical clinched assemblies. In: <i>Materials Research Proceedings</i>. Vol 25. Materials Research Forum LLC; 2023. doi:<a href=\"https://doi.org/10.21741/9781644902417-23\">10.21741/9781644902417-23</a>","bibtex":"@inproceedings{Zirngibl_Martin_Steinfelder_Schleich_Tröster_Brosius_Wartzack_2023, title={Methodical approach for the design and dimensioning of mechanical clinched assemblies}, volume={25}, DOI={<a href=\"https://doi.org/10.21741/9781644902417-23\">10.21741/9781644902417-23</a>}, booktitle={Materials Research Proceedings}, publisher={Materials Research Forum LLC}, author={Zirngibl, Christoph and Martin, Sven and Steinfelder, Christian and Schleich, Benjamin and Tröster, Thomas and Brosius, Alexander and Wartzack, Sandro}, year={2023} }","mla":"Zirngibl, Christoph, et al. “Methodical Approach for the Design and Dimensioning of Mechanical Clinched Assemblies.” <i>Materials Research Proceedings</i>, vol. 25, Materials Research Forum LLC, 2023, doi:<a href=\"https://doi.org/10.21741/9781644902417-23\">10.21741/9781644902417-23</a>.","chicago":"Zirngibl, Christoph, Sven Martin, Christian Steinfelder, Benjamin Schleich, Thomas Tröster, Alexander Brosius, and Sandro Wartzack. “Methodical Approach for the Design and Dimensioning of Mechanical Clinched Assemblies.” In <i>Materials Research Proceedings</i>, Vol. 25. Materials Research Forum LLC, 2023. <a href=\"https://doi.org/10.21741/9781644902417-23\">https://doi.org/10.21741/9781644902417-23</a>.","short":"C. Zirngibl, S. Martin, C. Steinfelder, B. Schleich, T. Tröster, A. Brosius, S. Wartzack, in: Materials Research Proceedings, Materials Research Forum LLC, 2023.","apa":"Zirngibl, C., Martin, S., Steinfelder, C., Schleich, B., Tröster, T., Brosius, A., &#38; Wartzack, S. (2023). Methodical approach for the design and dimensioning of mechanical clinched assemblies. <i>Materials Research Proceedings</i>, <i>25</i>. <a href=\"https://doi.org/10.21741/9781644902417-23\">https://doi.org/10.21741/9781644902417-23</a>","ieee":"C. Zirngibl <i>et al.</i>, “Methodical approach for the design and dimensioning of mechanical clinched assemblies,” in <i>Materials Research Proceedings</i>, Erlangen-Nürnberg, 2023, vol. 25, doi: <a href=\"https://doi.org/10.21741/9781644902417-23\">10.21741/9781644902417-23</a>."},"volume":25,"user_id":"104464","_id":"60304","publisher":"Materials Research Forum LLC","conference":{"end_date":"2023-04-05","location":"Erlangen-Nürnberg","name":"20th International Conference on Sheet Metal","start_date":"2023-04-02"},"status":"public"},{"language":[{"iso":"eng"}],"date_updated":"2022-03-10T18:28:19Z","title":"mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks","year":"2022","author":[{"full_name":"Schneider, Stefan Balthasar","last_name":"Schneider","first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011","id":"35343"},{"first_name":"Stefan","last_name":"Werner","full_name":"Werner, Stefan"},{"first_name":"Ramin","last_name":"Khalili","full_name":"Khalili, Ramin"},{"first_name":"Artur","last_name":"Hecker","full_name":"Hecker, Artur"},{"id":"126","full_name":"Karl, Holger","last_name":"Karl","first_name":"Holger"}],"keyword":["wireless mobile networks","network management","continuous control","cognitive networks","autonomous coordination","reinforcement learning","gym environment","simulation","open source"],"type":"conference","department":[{"_id":"75"}],"file":[{"creator":"stschn","date_created":"2022-03-10T18:25:41Z","file_size":223412,"access_level":"open_access","file_name":"author_version.pdf","date_updated":"2022-03-10T18:25:41Z","relation":"main_file","content_type":"application/pdf","file_id":"30237"}],"date_created":"2022-03-10T18:28:14Z","abstract":[{"text":"Recent reinforcement learning approaches for continuous control in wireless mobile networks have shown impressive\r\nresults. But due to the lack of open and compatible simulators, authors typically create their own simulation environments for training and evaluation. This is cumbersome and time-consuming for authors and limits reproducibility and comparability, ultimately impeding progress in the field.\r\n\r\nTo this end, we propose mobile-env, a simple and open platform for training, evaluating, and comparing reinforcement learning and conventional approaches for continuous control in mobile wireless networks. mobile-env is lightweight and implements the common OpenAI Gym interface and additional wrappers, which allows connecting virtually any single-agent or multi-agent reinforcement learning framework to the environment. While mobile-env provides sensible default values and can be used out of the box, it also has many configuration options and is easy to extend. We therefore believe mobile-env to be a valuable platform for driving meaningful progress in autonomous coordination of\r\nwireless mobile networks.","lang":"eng"}],"publication":"IEEE/IFIP Network Operations and Management Symposium (NOMS)","ddc":["004"],"user_id":"35343","_id":"30236","publisher":"IEEE","has_accepted_license":"1","status":"public","conference":{"location":"Budapest","start_date":"2022-04-25","name":"IEEE/IFIP Network Operations and Management Symposium (NOMS)","end_date":"2022-04-29"},"oa":"1","quality_controlled":"1","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"},{"_id":"16","name":"SFB 901 - C4: SFB 901 - Subproject C4"}],"file_date_updated":"2022-03-10T18:25:41Z","citation":{"chicago":"Schneider, Stefan Balthasar, Stefan Werner, Ramin Khalili, Artur Hecker, and Holger Karl. “Mobile-Env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks.” In <i>IEEE/IFIP Network Operations and Management Symposium (NOMS)</i>. IEEE, 2022.","short":"S.B. Schneider, S. Werner, R. Khalili, A. Hecker, H. Karl, in: IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.","apa":"Schneider, S. B., Werner, S., Khalili, R., Hecker, A., &#38; Karl, H. (2022). mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. <i>IEEE/IFIP Network Operations and Management Symposium (NOMS)</i>. IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest.","ieee":"S. B. Schneider, S. Werner, R. Khalili, A. Hecker, and H. Karl, “mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks,” presented at the IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest, 2022.","ama":"Schneider SB, Werner S, Khalili R, Hecker A, Karl H. mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. In: <i>IEEE/IFIP Network Operations and Management Symposium (NOMS)</i>. IEEE; 2022.","bibtex":"@inproceedings{Schneider_Werner_Khalili_Hecker_Karl_2022, title={mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks}, booktitle={IEEE/IFIP Network Operations and Management Symposium (NOMS)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Werner, Stefan and Khalili, Ramin and Hecker, Artur and Karl, Holger}, year={2022} }","mla":"Schneider, Stefan Balthasar, et al. “Mobile-Env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks.” <i>IEEE/IFIP Network Operations and Management Symposium (NOMS)</i>, IEEE, 2022."}},{"date_created":"2022-03-13T19:13:27Z","type":"book_editor","keyword":["new generation of researchersthe team level of workplace learningindividual level of workplace learningorganizational level of workplace learningsocietal level of workplace learninginterdependent cross-level research approachesWork AgencyWork-life perspectivesTeam learningTeam climateSocial influences on team learningKnowledge construction in teamsLearning cultureAcknowledgement of competencesTechnology and professional learningCreation of a learning eco-systemDiversity as a challenge for organisationsHigher education as preparation for WPLSocial support in networks and professional learningvocational and professional education"],"department":[{"_id":"452"}],"related_material":{"link":[{"relation":"other","url":"https://link.springer.com/book/10.1007/978-3-030-89582-2#about"}]},"abstract":[{"text":"The volume comprises a variety of research approaches that seek to explore and understand employees’ learning and development through and for work. Working life reveals challenges through technological, economic and societal development that can only rudimentarily be addressed by formal education and training. Workplace learning becomes more and more important for employees and enterprises to successfully cope with these challenges.\r\nWorkplace learning is a steadily growing field of educational research but it lacks so far a scholastic canon – there is rather a diversity of research approaches. This volume reflects this diversity by bringing together researchers from different countries and different theoretical backgrounds, presenting their current research on topics that all are relevant for understanding presages, processes and outcomes of workplace learning. Hence, this volume is of relevance for researchers as well as practitioners in the field and policy makers.","lang":"eng"}],"language":[{"iso":"eng"}],"doi":"10.1007/978-3-030-89582-2","alternative_title":["Insights from a Growing Field"],"title":"Research Approaches on Workplace Learning","year":"2022","publication_identifier":{"issn":["2210-5549","2210-5557"],"isbn":["9783030895815","9783030895822"]},"date_updated":"2022-03-13T19:14:34Z","publication_status":"published","place":"Cham","citation":{"ama":"Harteis C, Gijbels D, Kyndt E, eds. <i>Research Approaches on Workplace Learning</i>. Springer International Publishing; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-030-89582-2\">10.1007/978-3-030-89582-2</a>","bibtex":"@book{Harteis_Gijbels_Kyndt_2022, place={Cham}, title={Research Approaches on Workplace Learning}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-89582-2\">10.1007/978-3-030-89582-2</a>}, publisher={Springer International Publishing}, year={2022} }","mla":"Harteis, Christian, et al., editors. <i>Research Approaches on Workplace Learning</i>. Springer International Publishing, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-030-89582-2\">10.1007/978-3-030-89582-2</a>.","short":"C. Harteis, D. Gijbels, E. Kyndt, eds., Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022.","chicago":"Harteis, Christian, David Gijbels, and Eva Kyndt, eds. <i>Research Approaches on Workplace Learning</i>. Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-030-89582-2\">https://doi.org/10.1007/978-3-030-89582-2</a>.","apa":"Harteis, C., Gijbels, D., &#38; Kyndt, E. (Eds.). (2022). <i>Research Approaches on Workplace Learning</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-89582-2\">https://doi.org/10.1007/978-3-030-89582-2</a>","ieee":"C. Harteis, D. Gijbels, and E. Kyndt, Eds., <i>Research Approaches on Workplace Learning</i>. Cham: Springer International Publishing, 2022."},"_id":"30291","publisher":"Springer International Publishing","user_id":"50788","editor":[{"orcid":"https://orcid.org/0000-0002-3570-7626","first_name":"Christian","last_name":"Harteis","full_name":"Harteis, Christian","id":"27503"},{"full_name":"Gijbels, David","first_name":"David","last_name":"Gijbels"},{"first_name":"Eva","last_name":"Kyndt","full_name":"Kyndt, Eva"}],"status":"public"},{"abstract":[{"lang":"eng","text":"This chapter presents a discussion of the concept of agency. Agency is understood as a multifaceted construct describing the idea that human beings make choices, act on these choices, and thereby exercise influence on their own lives as well as their environment. We argue that the concept is discussed from three different perspectives in the literature—transformational, dispositional, and relational—that are each related to learning and development in work contexts. These perspectives do not reflect incompatible positions but rather different aspects of the same phenomena. The chapter also offers an avenue of insight into empirical studies that employ agency as a central concept as well as discussions about concepts that closely overlap with ideas of human beings as agents of power and influence."}],"related_material":{"link":[{"relation":"other","url":"https://link.springer.com/chapter/10.1007/978-3-030-89582-2_1#Abs1"}]},"publication":"Research Approaches on Workplace Learning","type":"book_chapter","keyword":["Agency Workplace learning Professional development Proactivity Self-direction"],"department":[{"_id":"452"}],"date_created":"2022-03-13T19:09:20Z","publication_status":"published","date_updated":"2022-03-13T19:14:43Z","year":"2022","title":"Agency: Taking Stock of Workplace Learning Research","author":[{"orcid":"0000-0002-2820-9178","first_name":"Michael","last_name":"Goller","full_name":"Goller, Michael","id":"30984"},{"first_name":"Susanna","last_name":"Paloniemi","full_name":"Paloniemi, Susanna"}],"publication_identifier":{"issn":["2210-5549","2210-5557"],"isbn":["9783030895815","9783030895822"]},"doi":"10.1007/978-3-030-89582-2_1","language":[{"iso":"eng"}],"citation":{"bibtex":"@inbook{Goller_Paloniemi_2022, place={Cham}, title={Agency: Taking Stock of Workplace Learning Research}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-89582-2_1\">10.1007/978-3-030-89582-2_1</a>}, booktitle={Research Approaches on Workplace Learning}, publisher={Springer International Publishing}, author={Goller, Michael and Paloniemi, Susanna}, year={2022} }","ama":"Goller M, Paloniemi S. Agency: Taking Stock of Workplace Learning Research. In: <i>Research Approaches on Workplace Learning</i>. Springer International Publishing; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-030-89582-2_1\">10.1007/978-3-030-89582-2_1</a>","mla":"Goller, Michael, and Susanna Paloniemi. “Agency: Taking Stock of Workplace Learning Research.” <i>Research Approaches on Workplace Learning</i>, Springer International Publishing, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-030-89582-2_1\">10.1007/978-3-030-89582-2_1</a>.","chicago":"Goller, Michael, and Susanna Paloniemi. “Agency: Taking Stock of Workplace Learning Research.” In <i>Research Approaches on Workplace Learning</i>. Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-030-89582-2_1\">https://doi.org/10.1007/978-3-030-89582-2_1</a>.","short":"M. Goller, S. Paloniemi, in: Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022.","ieee":"M. Goller and S. Paloniemi, “Agency: Taking Stock of Workplace Learning Research,” in <i>Research Approaches on Workplace Learning</i>, Cham: Springer International Publishing, 2022.","apa":"Goller, M., &#38; Paloniemi, S. (2022). Agency: Taking Stock of Workplace Learning Research. In <i>Research Approaches on Workplace Learning</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-89582-2_1\">https://doi.org/10.1007/978-3-030-89582-2_1</a>"},"place":"Cham","status":"public","user_id":"50788","_id":"30289","publisher":"Springer International Publishing"},{"conference":{"name":"2022 Kleinheubach Conference","start_date":"2022-09-27","location":"Miltenberg, Germany","end_date":"2022-09-29"},"status":"public","publisher":"IEEE","_id":"34140","user_id":"38240","citation":{"ieee":"J. Maalouly <i>et al.</i>, “AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development,” presented at the 2022 Kleinheubach Conference, Miltenberg, Germany, 2022.","apa":"Maalouly, J., Hemker, D., Hedayat, C., Rückert, C., Kaufmann, I., Olbrich, M., Lange, S., &#38; Mathis, H. (2022). AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development. <i>2022 Kleinheubach Conference</i>. 2022 Kleinheubach Conference, Miltenberg, Germany.","chicago":"Maalouly, Jad, Dennis Hemker, Christian Hedayat, Christian Rückert, Ivan Kaufmann, Marcel Olbrich, Sven Lange, and Harald Mathis. “AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development.” In <i>2022 Kleinheubach Conference</i>. Miltenberg, Germany: IEEE, 2022.","short":"J. Maalouly, D. Hemker, C. Hedayat, C. Rückert, I. Kaufmann, M. Olbrich, S. Lange, H. Mathis, in: 2022 Kleinheubach Conference, IEEE, Miltenberg, Germany, 2022.","mla":"Maalouly, Jad, et al. “AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development.” <i>2022 Kleinheubach Conference</i>, IEEE, 2022.","bibtex":"@inproceedings{Maalouly_Hemker_Hedayat_Rückert_Kaufmann_Olbrich_Lange_Mathis_2022, place={Miltenberg, Germany}, title={AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development}, booktitle={2022 Kleinheubach Conference}, publisher={IEEE}, author={Maalouly, Jad and Hemker, Dennis and Hedayat, Christian and Rückert, Christian and Kaufmann, Ivan and Olbrich, Marcel and Lange, Sven and Mathis, Harald}, year={2022} }","ama":"Maalouly J, Hemker D, Hedayat C, et al. AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development. In: <i>2022 Kleinheubach Conference</i>. IEEE; 2022."},"project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"place":"Miltenberg, Germany","author":[{"first_name":"Jad","last_name":"Maalouly","full_name":"Maalouly, Jad"},{"full_name":"Hemker, Dennis","first_name":"Dennis","last_name":"Hemker"},{"first_name":"Christian","last_name":"Hedayat","full_name":"Hedayat, Christian"},{"full_name":"Rückert, Christian","first_name":"Christian","last_name":"Rückert"},{"full_name":"Kaufmann, Ivan","first_name":"Ivan","last_name":"Kaufmann"},{"first_name":"Marcel","last_name":"Olbrich","full_name":"Olbrich, Marcel"},{"full_name":"Lange, Sven","first_name":"Sven","last_name":"Lange","id":"38240"},{"first_name":"Harald","last_name":"Mathis","full_name":"Mathis, Harald"}],"publication_identifier":{"eisbn":["978-3-948571-07-8"]},"year":"2022","title":"AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development","publication_status":"published","date_updated":"2022-11-24T14:21:34Z","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9954484"}],"publication":"2022 Kleinheubach Conference","abstract":[{"lang":"eng","text":"In this paper, machine learning techniques will be used to classify different PCB layouts given their electromagnetic frequency spectra. These spectra result from a simulated near-field measurement of electric field strengths at different locations. Measured values consist of real and imaginary parts (amplitude and phase) in X, Y and Z directions. Training data was obtained in the time domain by varying transmission line geometries (size, distance and signaling). It was then transformed into the frequency domain and used as deep neural network input. Principal component analysis was applied to reduce the sample dimension. The results show that classifying different designs is possible with high accuracy based on synthetic data. Future work comprises measurements of real, custom-made PCB with varying parameters to adapt the simulation model and also test the neural network. Finally, the trained model could be used to give hints about the error’s cause when overshooting EMC limits."}],"date_created":"2022-11-24T14:21:17Z","department":[{"_id":"59"},{"_id":"485"}],"keyword":["emc","pcb","electronic system development","machine learning","neural network"],"type":"conference"},{"place":"Grenoble, France","citation":{"ieee":"T. Sander, S. Lange, U. Hilleringmann, V. Geneiß, C. Hedayat, and H. Kuhn, “Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods,” presented at the 2022 Smart Systems Integration (SSI), Grenoble, France, 2022, doi: <a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">10.1109/ssi56489.2022.9901433</a>.","apa":"Sander, T., Lange, S., Hilleringmann, U., Geneiß, V., Hedayat, C., &#38; Kuhn, H. (2022). Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods. <i>2022 Smart Systems Integration (SSI)</i>. 2022 Smart Systems Integration (SSI), Grenoble, France. <a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">https://doi.org/10.1109/ssi56489.2022.9901433</a>","short":"T. Sander, S. Lange, U. Hilleringmann, V. Geneiß, C. Hedayat, H. Kuhn, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2022.","chicago":"Sander, Tom, Sven Lange, Ulrich Hilleringmann, Volker Geneiß, Christian Hedayat, and Harald Kuhn. “Detection of Defects on Irregularly Structured Surfaces Using Supervised and Semi-Supervised Learning Methods.” In <i>2022 Smart Systems Integration (SSI)</i>. Grenoble, France: IEEE, 2022. <a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">https://doi.org/10.1109/ssi56489.2022.9901433</a>.","mla":"Sander, Tom, et al. “Detection of Defects on Irregularly Structured Surfaces Using Supervised and Semi-Supervised Learning Methods.” <i>2022 Smart Systems Integration (SSI)</i>, IEEE, 2022, doi:<a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">10.1109/ssi56489.2022.9901433</a>.","bibtex":"@inproceedings{Sander_Lange_Hilleringmann_Geneiß_Hedayat_Kuhn_2022, place={Grenoble, France}, title={Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods}, DOI={<a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">10.1109/ssi56489.2022.9901433</a>}, booktitle={2022 Smart Systems Integration (SSI)}, publisher={IEEE}, author={Sander, Tom and Lange, Sven and Hilleringmann, Ulrich and Geneiß, Volker and Hedayat, Christian and Kuhn, Harald}, year={2022} }","ama":"Sander T, Lange S, Hilleringmann U, Geneiß V, Hedayat C, Kuhn H. Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods. In: <i>2022 Smart Systems Integration (SSI)</i>. IEEE; 2022. doi:<a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">10.1109/ssi56489.2022.9901433</a>"},"project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"publisher":"IEEE","_id":"33510","user_id":"38240","status":"public","conference":{"start_date":"2022-04-27","name":"2022 Smart Systems Integration (SSI)","location":"Grenoble, France","end_date":"2022-04-28"},"date_created":"2022-10-04T11:35:55Z","type":"conference","keyword":["Machine Learning","CNN","Hashing","semi-supervised learning"],"department":[{"_id":"59"},{"_id":"485"}],"publication":"2022 Smart Systems Integration (SSI)","abstract":[{"text":"In the manufacture of real wood products, defects can quickly occur during the production process. To quickly sort out these defects, a system is needed that finds damage in the irregularly structured surfaces of the product. The difficulty in this task is that each surface is visually different and no standard defects can be defined. Thus, damage detection using correlation does not work, so this paper will test different machine learning methods. To evaluate different machine learning methods, a data set is needed. For this reason, the available samples were recorded manually using a static fixed camera. Subsequently, the images were divided into sub-images, which resulted in a relatively small data set. Next, a convolutional neural network (CNN) was constructed to classify the images. However, this approach did not lead to a generalized solution, so the dataset was hashed using the a- and pHash. These hash values were then trained with a fully supervised system that will later serve as a reference model, in the semi-supervised learning procedures. To improve the supervised model and not have to label every data point, semi-supervised learning methods are used in the following. For this purpose, the CEAL method (wrapper method) is considered in the first and then the Π-Model (intrinsically semi-supervised).","lang":"eng"}],"main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9901433"}],"language":[{"iso":"eng"}],"doi":"10.1109/ssi56489.2022.9901433","title":"Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods","year":"2022","author":[{"last_name":"Sander","first_name":"Tom","full_name":"Sander, Tom"},{"full_name":"Lange, Sven","last_name":"Lange","first_name":"Sven","id":"38240"},{"last_name":"Hilleringmann","first_name":"Ulrich","full_name":"Hilleringmann, Ulrich"},{"full_name":"Geneiß, Volker","first_name":"Volker","last_name":"Geneiß"},{"first_name":"Christian","last_name":"Hedayat","full_name":"Hedayat, Christian"},{"full_name":"Kuhn, Harald","first_name":"Harald","last_name":"Kuhn"}],"date_updated":"2022-10-04T11:37:39Z","publication_status":"published"}]