--- _id: '63109' abstract: - lang: ger text: 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. - 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. author: - first_name: Ha My full_name: Truong, Ha My id: '44239' last_name: Truong citation: 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. Lehrkräftebildung in Der Digitalen Welt. Zukunftsorientierte Forschungs- Und Praxisperspektiven. Waxmann Verlag GmbH; 2024:179-189. doi:10.31244/9783830998372' 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, & J. Niemann (Eds.), Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven (pp. 179–189). Waxmann Verlag GmbH. https://doi.org/10.31244/9783830998372 bibtex: '@inbook{Truong_2024, title={Level Up! Gamification in der Lehrkräfteausbildung - Konzeption und Erfahrung eines gamifizierten Seminars in der Hochschullehre für Lehramtsstudierende}, DOI={10.31244/9783830998372}, 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} }' chicago: Truong, Ha My. “Level Up! Gamification in Der Lehrkräfteausbildung - Konzeption Und Erfahrung Eines Gamifizierten Seminars in Der Hochschullehre Für Lehramtsstudierende.” In Lehrkräftebildung in Der Digitalen Welt. Zukunftsorientierte Forschungs- Und Praxisperspektiven, edited by Bardo Herzig, Birgit Eickelmann, Franziska Schwabl, Johanna Schulze, and Jan Niemann, 179–89. Waxmann Verlag GmbH, 2024. https://doi.org/10.31244/9783830998372. ieee: H. M. Truong, “Level Up! Gamification in der Lehrkräfteausbildung - Konzeption und Erfahrung eines gamifizierten Seminars in der Hochschullehre für Lehramtsstudierende,” in Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven, B. Herzig, B. Eickelmann, F. Schwabl, J. Schulze, and J. Niemann, Eds. Waxmann Verlag GmbH, 2024, pp. 179–189. mla: Truong, Ha My. “Level Up! Gamification in Der Lehrkräfteausbildung - Konzeption Und Erfahrung Eines Gamifizierten Seminars in Der Hochschullehre Für Lehramtsstudierende.” Lehrkräftebildung in Der Digitalen Welt. Zukunftsorientierte Forschungs- Und Praxisperspektiven, edited by Bardo Herzig et al., Waxmann Verlag GmbH, 2024, pp. 179–89, doi:10.31244/9783830998372. 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.' date_created: 2025-12-16T08:36:17Z date_updated: 2025-12-16T13:05:59Z department: - _id: '33' doi: 10.31244/9783830998372 editor: - first_name: Bardo full_name: Herzig, Bardo last_name: Herzig - first_name: Birgit full_name: Eickelmann, Birgit last_name: Eickelmann - first_name: Franziska full_name: Schwabl, Franziska last_name: Schwabl - first_name: Johanna full_name: Schulze, Johanna last_name: Schulze - first_name: Jan full_name: Niemann, Jan last_name: Niemann keyword: - Game-based learning - Gamification - Hochschullehre - Lehrkräftebildung language: - iso: eng page: 179-189 publication: Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven publication_identifier: isbn: - '9783830948377' publication_status: published publisher: Waxmann Verlag GmbH status: public title: Level Up! Gamification in der Lehrkräfteausbildung - Konzeption und Erfahrung eines gamifizierten Seminars in der Hochschullehre für Lehramtsstudierende type: book_chapter user_id: '44239' year: '2024' ... --- _id: '65163' 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" - lang: eng 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" article_type: original author: - first_name: Marion full_name: Keuchen, Marion id: '251' last_name: Keuchen orcid: https://orcid.org/0009-0000-9904-6479 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. TheoWeb Zeitschrift für Religionspädagogik. 2024;2:224-237. doi:10.23770/tw0360' 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. TheoWeb. Zeitschrift für Religionspädagogik, 2, 224–237. https://doi.org/10.23770/tw0360' 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={10.23770/tw0360}, journal={TheoWeb. Zeitschrift für Religionspädagogik}, author={Keuchen, Marion}, year={2024}, pages={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.” TheoWeb. Zeitschrift für Religionspädagogik 2 (2024): 224–37. https://doi.org/10.23770/tw0360.' ieee: 'M. Keuchen, “Aktuelle pädagogische und hermeneutische Ansätze aus Judentum, Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung, diversitätssensible Religionspädagogik und normative Diskurse,” TheoWeb. Zeitschrift für Religionspädagogik, vol. 2, pp. 224–237, 2024, doi: 10.23770/tw0360.' mla: 'Keuchen, Marion. “Aktuelle pädagogische und hermeneutische Ansätze aus Judentum, Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung, diversitätssensible Religionspädagogik und normative Diskurse.” TheoWeb. Zeitschrift für Religionspädagogik, vol. 2, 2024, pp. 224–37, doi:10.23770/tw0360.' short: M. Keuchen, TheoWeb. Zeitschrift für Religionspädagogik 2 (2024) 224–237. date_created: 2026-03-27T08:06:54Z date_updated: 2026-03-27T18:41:17Z ddc: - '200' department: - _id: '20' - _id: '500' doi: 10.23770/tw0360 file: - access_level: closed content_type: application/pdf creator: keuchen date_created: 2026-03-27T08:04:06Z date_updated: 2026-03-27T08:04:06Z file_id: '65164' file_name: aktuelle-paedagogische-und-hermeneutische-ansaetze-aus-judentum-christentum-und-islam-in-kindertora-kinderbibel-und-kinderkoran-identitaetsbildung-diversitaetssensible-religionspaedagogik-und-normative-diskurse.pdf file_size: 223437 relation: main_file success: 1 file_date_updated: 2026-03-27T08:04:06Z has_accepted_license: '1' intvolume: ' 2' 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 language: - iso: ger main_file_link: - open_access: '1' 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 oa: '1' page: 224-237 publication: TheoWeb. Zeitschrift für Religionspädagogik publication_status: published quality_controlled: '1' related_material: link: - relation: confirmation 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 status: public title: 'Aktuelle pädagogische und hermeneutische Ansätze aus Judentum, Christentum und Islam in Kindertora, Kinderbibel und Kinderkoran: Identitätsbildung, diversitätssensible Religionspädagogik und normative Diskurse' type: journal_article user_id: '251' volume: 2 year: '2024' ... --- _id: '45270' 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. author: - first_name: Haya full_name: Halimeh, Haya id: '87673' last_name: Halimeh - first_name: Matthew full_name: Caron, Matthew id: '60721' last_name: Caron - first_name: Oliver full_name: Müller, Oliver id: '72849' last_name: Müller citation: ama: 'Halimeh H, Caron M, Müller O. Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features. In: Hawaii International Conference on System Sciences. ; 2023.' apa: 'Halimeh, H., Caron, M., & Müller, O. (2023). Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features. Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences.' 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} }' chicago: 'Halimeh, Haya, Matthew Caron, and Oliver Müller. “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features.” In Hawaii International Conference on System Sciences, 2023.' 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.' mla: 'Halimeh, Haya, et al. “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features.” Hawaii International Conference on System Sciences, 2023.' short: 'H. Halimeh, M. Caron, O. Müller, in: Hawaii International Conference on System Sciences, 2023.' conference: end_date: 2023-01-06 name: Hawaii International Conference on System Sciences start_date: 2023-01-03 date_created: 2023-05-25T10:25:21Z date_updated: 2024-01-10T15:16:37Z department: - _id: '195' - _id: '196' keyword: - Social Media and Healthcare Technology - early depression detection - liwc - mental health - transfer learning - transformer architectures language: - iso: eng main_file_link: - open_access: '1' url: https://scholarspace.manoa.hawaii.edu/items/2ddab486-5d2f-4302-8de3-a8b24017da3d oa: '1' publication: Hawaii International Conference on System Sciences publication_status: published related_material: link: - relation: confirmation url: https://hdl.handle.net/10125/103046 status: public title: 'Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features' type: conference user_id: '60721' year: '2023' ... --- _id: '50479' 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. author: - first_name: Umair full_name: Qudus, Umair last_name: Qudus - first_name: Michael full_name: Röder, Michael last_name: Röder - first_name: Sabrina full_name: Kirrane, Sabrina last_name: Kirrane - first_name: Axel-Cyrille Ngonga full_name: Ngomo, Axel-Cyrille Ngonga last_name: Ngomo citation: 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. The Semantic Web – ISWC 2023. Vol 14265. Lecture Notes in Computer Science. Springer, Cham; 2023:465–483. doi:10.1007/978-3-031-47240-4_25' apa: 'Qudus, U., Röder, M., Kirrane, S., & 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, & J. Li (Eds.), The Semantic Web – ISWC 2023 (Vol. 14265, pp. 465–483). Springer, Cham. https://doi.org/10.1007/978-3-031-47240-4_25' 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={10.1007/978-3-031-47240-4_25}, 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} }' chicago: 'Qudus, Umair, Michael Röder, Sabrina Kirrane, and Axel-Cyrille Ngonga Ngomo. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.” In The Semantic Web – ISWC 2023, 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. https://doi.org/10.1007/978-3-031-47240-4_25.' ieee: 'U. Qudus, M. Röder, S. Kirrane, and A.-C. N. Ngomo, “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs,” in The Semantic Web – ISWC 2023, Athens, Greece, 2023, vol. 14265, pp. 465–483, doi: 10.1007/978-3-031-47240-4_25.' mla: 'Qudus, Umair, et al. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.” The Semantic Web – ISWC 2023, edited by Terry R. Payne et al., vol. 14265, Springer, Cham, 2023, pp. 465–483, doi:10.1007/978-3-031-47240-4_25.' 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.' conference: end_date: 2023-11-10 location: Athens, Greece name: The Semantic Web – ISWC 2023 start_date: 2023-11-06 date_created: 2024-01-13T11:22:15Z date_updated: 2024-01-13T11:48:28Z ddc: - '006' department: - _id: '34' doi: 10.1007/978-3-031-47240-4_25 editor: - first_name: Terry full_name: R. Payne, Terry last_name: R. Payne - first_name: Valentina full_name: Presutti, Valentina last_name: Presutti - first_name: Guilin full_name: Qi, Guilin last_name: Qi - first_name: María full_name: Poveda-Villalón, María last_name: Poveda-Villalón - first_name: Giorgos full_name: Stoilos, Giorgos last_name: Stoilos - first_name: Laura full_name: Hollink, Laura last_name: Hollink - first_name: Zoi full_name: Kaoudi, Zoi last_name: Kaoudi - first_name: Gong full_name: Cheng, Gong last_name: Cheng - first_name: Juanzi full_name: Li, Juanzi last_name: Li file: - access_level: closed content_type: application/pdf creator: uqudus date_created: 2024-01-13T11:25:48Z date_updated: 2024-01-13T11:25:48Z file_id: '50480' file_name: ISWC 2023 TemporalFC-A Temporal Fact Checking approach over Knowledge Graphs.pdf file_size: 1944818 relation: main_file success: 1 file_date_updated: 2024-01-13T11:25:48Z has_accepted_license: '1' intvolume: ' 14265' jel: - C keyword: - temporal fact checking · ensemble learning · transfer learning · time-point prediction · temporal knowledge graphs language: - iso: eng page: 465–483 place: Cham project: - _id: '410' grant_number: '860801' name: 'KnowGraphs: KnowGraphs: Knowledge Graphs at Scale' publication: The Semantic Web – ISWC 2023 publication_identifier: isbn: - '9783031472398' - '9783031472404' issn: - 0302-9743 - 1611-3349 publication_status: published publisher: Springer, Cham series_title: ' Lecture Notes in Computer Science' status: public title: 'TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs' type: conference user_id: '83392' volume: 14265 year: '2023' ... --- _id: '52816' abstract: - lang: eng 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." author: - first_name: Iris full_name: Gräßler, Iris id: '47565' last_name: Gräßler orcid: 0000-0001-5765-971X - first_name: Michael full_name: Hieb, Michael id: '72252' last_name: Hieb citation: ama: 'Gräßler I, Hieb M. Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing. In: Lectures. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany; 2023:253-524. doi:10.5162/smsi2023/d7.4' apa: Gräßler, I., & Hieb, M. (2023). Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing. Lectures, 253–524. https://doi.org/10.5162/smsi2023/d7.4 bibtex: '@inproceedings{Gräßler_Hieb_2023, title={Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing}, DOI={10.5162/smsi2023/d7.4}, booktitle={Lectures}, publisher={AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany}, author={Gräßler, Iris and Hieb, Michael}, year={2023}, pages={253–524} }' chicago: Gräßler, Iris, and Michael Hieb. “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing.” In Lectures, 253–524. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023. https://doi.org/10.5162/smsi2023/d7.4. ieee: 'I. Gräßler and M. Hieb, “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing,” in Lectures, Nuremberg, 2023, pp. 253–524, doi: 10.5162/smsi2023/d7.4.' mla: Gräßler, Iris, and Michael Hieb. “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing.” Lectures, AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023, pp. 253–524, doi:10.5162/smsi2023/d7.4. short: 'I. Gräßler, M. Hieb, in: Lectures, AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023, pp. 253–524.' conference: end_date: 2023-05-11 location: Nuremberg name: SMSI 2023. Sensor and Measurement Science International start_date: 2023-05-08 date_created: 2024-03-25T10:16:24Z date_updated: 2024-03-25T11:05:53Z department: - _id: '152' doi: 10.5162/smsi2023/d7.4 keyword: - synthetic training data - machine vision quality gates - deep learning - automated inspection and quality control - production control language: - iso: eng page: 253-524 publication: Lectures publication_status: published publisher: AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany quality_controlled: '1' status: public title: Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing type: conference user_id: '5905' year: '2023' ... --- _id: '49434' abstract: - lang: ger 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. author: - first_name: 'Alessa ' full_name: 'Schuldt, Alessa ' last_name: Schuldt - first_name: Manfred full_name: Palm, Manfred last_name: Palm - first_name: Phillip full_name: Neumann, Phillip id: '95559' last_name: Neumann - first_name: Oliver full_name: Böhm-Kasper, Oliver last_name: Böhm-Kasper - first_name: Christine full_name: Demmer, Christine last_name: Demmer - first_name: Birgit full_name: Lütje-Klose, Birgit last_name: Lütje-Klose citation: 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“. Zeitschrift für Konzepte Und Arbeitsmaterialien für Lehrer*innenbildung Und Unterricht. 2023;5(4). doi:10.11576/DIMAWE-6699 apa: Schuldt, A., Palm, M., Neumann, P., Böhm-Kasper, O., Demmer, C., & Lütje-Klose, B. (2023). „Jede*r von uns sieht die Situation eben unterschiedlich – das ist zwar eine Schwierigkeit, aber auch eine Bereicherung“. Zeitschrift Für Konzepte Und Arbeitsmaterialien Für Lehrer*innenbildung Und Unterricht, 5(4). https://doi.org/10.11576/DIMAWE-6699 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={10.11576/DIMAWE-6699}, 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} }' 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“.” Zeitschrift Für Konzepte Und Arbeitsmaterialien Für Lehrer*innenbildung Und Unterricht 5, no. 4 (2023). https://doi.org/10.11576/DIMAWE-6699. 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“,” Zeitschrift für Konzepte Und Arbeitsmaterialien für Lehrer*innenbildung Und Unterricht, vol. 5, no. 4, 2023, doi: 10.11576/DIMAWE-6699.' mla: Schuldt, Alessa, et al. “„Jede*r von Uns Sieht Die Situation Eben Unterschiedlich – Das Ist Zwar Eine Schwierigkeit, Aber Auch Eine Bereicherung“.” Zeitschrift Für Konzepte Und Arbeitsmaterialien Für Lehrer*innenbildung Und Unterricht, vol. 5, no. 4, 2023, doi:10.11576/DIMAWE-6699. 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). date_created: 2023-12-04T10:11:17Z date_updated: 2024-03-27T11:27:33Z department: - _id: '479' doi: 10.11576/DIMAWE-6699 intvolume: ' 5' issue: '4' keyword: - Rollenspiel - mulitprofessionelle Kooperation - inklusionssensible Lehrerbildung - Hochschuldidaktik - Blended Learning language: - iso: eng publication: Zeitschrift für Konzepte Und Arbeitsmaterialien für Lehrer*innenbildung Und Unterricht status: public title: „Jede*r von uns sieht die Situation eben unterschiedlich – das ist zwar eine Schwierigkeit, aber auch eine Bereicherung“ type: journal_article user_id: '77750' volume: 5 year: '2023' ... --- _id: '39976' abstract: - lang: eng 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." article_type: original author: - first_name: Nicole full_name: Janicki, Nicole id: '50915' last_name: Janicki - first_name: Claudia full_name: Tenberge, Claudia id: '67302' last_name: Tenberge citation: 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. Australasian Journal of Technology Education. 2023;9. doi:https://doi.org/10.15663/ajte.v9.i0.103 apa: Janicki, N., & Tenberge, C. (2023). Technology education in elementary school using the example of “learning robots” – development and evaluation of an in-service teacher training concept. Australasian Journal of Technology Education, 9. https://doi.org/10.15663/ajte.v9.i0.103 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={https://doi.org/10.15663/ajte.v9.i0.103}, journal={Australasian Journal of Technology Education}, author={Janicki, Nicole and Tenberge, Claudia}, year={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.” Australasian Journal of Technology Education 9 (2023). https://doi.org/10.15663/ajte.v9.i0.103. 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,” Australasian Journal of Technology Education, vol. 9, 2023, doi: https://doi.org/10.15663/ajte.v9.i0.103.' 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.” Australasian Journal of Technology Education, vol. 9, 2023, doi:https://doi.org/10.15663/ajte.v9.i0.103. short: N. Janicki, C. Tenberge, Australasian Journal of Technology Education 9 (2023). date_created: 2023-01-25T11:50:07Z date_updated: 2024-05-31T09:22:58Z department: - _id: '588' doi: https://doi.org/10.15663/ajte.v9.i0.103 intvolume: ' 9' keyword: - technology education - teacher professionalisation - Computational Thinking - digitalization - learning robots language: - iso: eng publication: Australasian Journal of Technology Education publication_status: published status: public title: Technology education in elementary school using the example of 'learning robots' – development and evaluation of an in-service teacher training concept type: journal_article user_id: '50915' volume: 9 year: '2023' ... --- _id: '31849' author: - first_name: Max full_name: Hoffmann, Max id: '32202' last_name: Hoffmann orcid: 0000-0002-6964-7123 - first_name: Rolf full_name: Biehler, Rolf id: '16274' last_name: Biehler citation: 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. 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.; 2023.' apa: Hoffmann, M., & Biehler, R. (2023). Student Teachers ’ Knowledge of Congruence before a University Course on Geometry. 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. 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} }' chicago: 'Hoffmann, Max, and Rolf Biehler. “Student Teachers ’ Knowledge of Congruence before a University Course on Geometry.” In Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022), edited by Marı́a Trigueros, Berta Barquero, Reinhard Hochmuth, and Jana Peters. Hannover: University of Hannover and INDRUM., 2023.' ieee: M. Hoffmann and R. Biehler, “Student Teachers ’ Knowledge of Congruence before a University Course on Geometry,” in Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022), 2023. mla: Hoffmann, Max, and Rolf Biehler. “Student Teachers ’ Knowledge of Congruence before a University Course on Geometry.” Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022), edited by Marı́a Trigueros et al., 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.' date_created: 2022-06-12T11:07:34Z date_updated: 2023-03-25T10:11:35Z ddc: - '370' - '510' department: - _id: '97' editor: - first_name: Marı́a full_name: Trigueros, Marı́a last_name: Trigueros - first_name: Berta full_name: Barquero, Berta last_name: Barquero - first_name: Reinhard full_name: Hochmuth, Reinhard last_name: Hochmuth - first_name: Jana full_name: Peters, Jana last_name: Peters file: - access_level: closed content_type: application/pdf creator: maxh date_created: 2023-03-25T10:01:03Z date_updated: 2023-03-25T10:01:03Z file_id: '43096' file_name: HoffmannBiehler2022_indrum_congruence.pdf file_size: 201942 relation: main_file success: 1 file_date_updated: 2023-03-25T10:01:03Z has_accepted_license: '1' keyword: - Teaching and learning of specific topics in university mathematics - Transition to - across and from university mathematics - Student Teachers - Geometry - Congruence - Double Discontinuity. language: - iso: eng main_file_link: - open_access: '1' url: https://hal.univ-reims.fr/INDRUM2022/ oa: '1' place: Hannover publication: Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022) publication_status: published publisher: University of Hannover and INDRUM. quality_controlled: '1' status: public title: Student Teachers ’ Knowledge of Congruence before a University Course on Geometry type: conference user_id: '32202' year: '2023' ... --- _id: '45299' abstract: - lang: eng 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. author: - first_name: Jan-Peter full_name: Kucklick, Jan-Peter id: '77066' last_name: Kucklick citation: ama: 'Kucklick J-P. HIEF: a holistic interpretability and explainability framework. Journal of Decision Systems. Published online 2023:1-41. doi:10.1080/12460125.2023.2207268' apa: 'Kucklick, J.-P. (2023). HIEF: a holistic interpretability and explainability framework. Journal of Decision Systems, 1–41. https://doi.org/10.1080/12460125.2023.2207268' bibtex: '@article{Kucklick_2023, title={HIEF: a holistic interpretability and explainability framework}, DOI={10.1080/12460125.2023.2207268}, journal={Journal of Decision Systems}, publisher={Taylor & Francis}, author={Kucklick, Jan-Peter}, year={2023}, pages={1–41} }' chicago: 'Kucklick, Jan-Peter. “HIEF: A Holistic Interpretability and Explainability Framework.” Journal of Decision Systems, 2023, 1–41. https://doi.org/10.1080/12460125.2023.2207268.' ieee: 'J.-P. Kucklick, “HIEF: a holistic interpretability and explainability framework,” Journal of Decision Systems, pp. 1–41, 2023, doi: 10.1080/12460125.2023.2207268.' mla: 'Kucklick, Jan-Peter. “HIEF: A Holistic Interpretability and Explainability Framework.” Journal of Decision Systems, Taylor & Francis, 2023, pp. 1–41, doi:10.1080/12460125.2023.2207268.' short: J.-P. Kucklick, Journal of Decision Systems (2023) 1–41. date_created: 2023-05-26T05:04:45Z date_updated: 2023-05-26T05:08:36Z department: - _id: '195' - _id: '196' doi: 10.1080/12460125.2023.2207268 keyword: - Explainable AI (XAI) - machine learning - interpretability - real estate appraisal - framework - taxonomy language: - iso: eng main_file_link: - url: https://www.tandfonline.com/doi/full/10.1080/12460125.2023.2207268 page: 1-41 publication: Journal of Decision Systems publication_identifier: issn: - 1246-0125 - 2116-7052 publication_status: published publisher: Taylor & Francis status: public title: 'HIEF: a holistic interpretability and explainability framework' type: journal_article user_id: '77066' year: '2023' ... --- _id: '33734' 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' author: - first_name: N'Dah Jean full_name: KOUAGOU, N'Dah Jean id: '87189' last_name: KOUAGOU - first_name: Stefan full_name: Heindorf, Stefan id: '11871' last_name: Heindorf orcid: 0000-0002-4525-6865 - first_name: Caglar full_name: Demir, Caglar id: '43817' last_name: Demir - first_name: Axel-Cyrille full_name: Ngonga Ngomo, Axel-Cyrille id: '65716' last_name: Ngonga Ngomo citation: 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. The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023). Vol 13870. Springer International Publishing; 2023:209-226. doi:https://doi.org/10.1007/978-3-031-33455-9_13' apa: KOUAGOU, N. J., Heindorf, S., Demir, C., & 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, & S. Hertling (Eds.), The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023) (Vol. 13870, pp. 209–226). Springer International Publishing. https://doi.org/10.1007/978-3-031-33455-9_13 bibtex: '@inproceedings{KOUAGOU_Heindorf_Demir_Ngonga Ngomo_2023, title={Neural Class Expression Synthesis}, volume={13870}, DOI={https://doi.org/10.1007/978-3-031-33455-9_13}, 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} }' chicago: KOUAGOU, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Neural Class Expression Synthesis.” In The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), 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. https://doi.org/10.1007/978-3-031-33455-9_13. ieee: 'N. J. KOUAGOU, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class Expression Synthesis,” in The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), Hersonissos, Crete, Greece, 2023, vol. 13870, pp. 209–226, doi: https://doi.org/10.1007/978-3-031-33455-9_13.' mla: KOUAGOU, N’Dah Jean, et al. “Neural Class Expression Synthesis.” The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), edited by Catia Pesquita et al., vol. 13870, Springer International Publishing, 2023, pp. 209–26, doi:https://doi.org/10.1007/978-3-031-33455-9_13. 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.' conference: end_date: 2023-06-01 location: Hersonissos, Crete, Greece name: 20th Extended Semantic Web Conference start_date: 2023-05-28 date_created: 2022-10-15T19:20:11Z date_updated: 2023-07-02T18:10:02Z department: - _id: '574' - _id: '760' doi: https://doi.org/10.1007/978-3-031-33455-9_13 editor: - first_name: Catia full_name: Pesquita, Catia last_name: Pesquita - first_name: Ernesto full_name: Jimenez-Ruiz, Ernesto last_name: Jimenez-Ruiz - first_name: Jamie full_name: McCusker, Jamie last_name: McCusker - first_name: Daniel full_name: Faria, Daniel last_name: Faria - first_name: Mauro full_name: Dragoni, Mauro last_name: Dragoni - first_name: Anastasia full_name: Dimou, Anastasia last_name: Dimou - first_name: Raphael full_name: Troncy, Raphael last_name: Troncy - first_name: Sven full_name: Hertling, Sven last_name: Hertling external_id: unknown: - https://link.springer.com/chapter/10.1007/978-3-031-33455-9_13 intvolume: ' 13870' keyword: - Neural network - Concept learning - Description logics language: - iso: eng main_file_link: - open_access: '1' url: https://2023.eswc-conferences.org/wp-content/uploads/2023/05/paper_Kouagou_2023_Neural.pdf oa: '1' page: 209 - 226 project: - _id: '410' name: 'KnowGraphs: KnowGraphs: Knowledge Graphs at Scale' - _id: '407' grant_number: '101070305' name: 'ENEXA: Efficient Explainable Learning on Knowledge Graphs' - _id: '285' grant_number: NW21-059D name: 'SAIL: SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems' publication: The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023) publication_identifier: unknown: - 978-3-031-33455-9 publication_status: published publisher: Springer International Publishing status: public title: Neural Class Expression Synthesis type: conference user_id: '11871' volume: 13870 year: '2023' ... --- _id: '29240' 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." article_type: original author: - first_name: Sina full_name: Ober-Blöbaum, Sina id: '16494' last_name: Ober-Blöbaum - first_name: Christian full_name: Offen, Christian id: '85279' last_name: Offen orcid: 0000-0002-5940-8057 citation: ama: Ober-Blöbaum S, Offen C. Variational Learning of Euler–Lagrange Dynamics from Data. Journal of Computational and Applied Mathematics. 2023;421:114780. doi:10.1016/j.cam.2022.114780 apa: Ober-Blöbaum, S., & Offen, C. (2023). Variational Learning of Euler–Lagrange Dynamics from Data. Journal of Computational and Applied Mathematics, 421, 114780. https://doi.org/10.1016/j.cam.2022.114780 bibtex: '@article{Ober-Blöbaum_Offen_2023, title={Variational Learning of Euler–Lagrange Dynamics from Data}, volume={421}, DOI={10.1016/j.cam.2022.114780}, journal={Journal of Computational and Applied Mathematics}, publisher={Elsevier}, author={Ober-Blöbaum, Sina and Offen, Christian}, year={2023}, pages={114780} }' chicago: 'Ober-Blöbaum, Sina, and Christian Offen. “Variational Learning of Euler–Lagrange Dynamics from Data.” Journal of Computational and Applied Mathematics 421 (2023): 114780. https://doi.org/10.1016/j.cam.2022.114780.' ieee: 'S. Ober-Blöbaum and C. Offen, “Variational Learning of Euler–Lagrange Dynamics from Data,” Journal of Computational and Applied Mathematics, vol. 421, p. 114780, 2023, doi: 10.1016/j.cam.2022.114780.' mla: Ober-Blöbaum, Sina, and Christian Offen. “Variational Learning of Euler–Lagrange Dynamics from Data.” Journal of Computational and Applied Mathematics, vol. 421, Elsevier, 2023, p. 114780, doi:10.1016/j.cam.2022.114780. short: S. Ober-Blöbaum, C. Offen, Journal of Computational and Applied Mathematics 421 (2023) 114780. date_created: 2022-01-11T13:24:00Z date_updated: 2023-08-10T08:42:39Z ddc: - '510' department: - _id: '636' doi: 10.1016/j.cam.2022.114780 external_id: arxiv: - '2112.12619' file: - access_level: open_access content_type: application/pdf creator: coffen date_created: 2022-06-28T15:25:50Z date_updated: 2022-06-28T15:25:50Z description: |- 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 equa- tions, 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 predic- tions 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, we 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. file_id: '32274' file_name: ShadowLagrangian_revision1_journal_style_arxiv.pdf file_size: 3640770 relation: main_file title: Variational Learning of Euler–Lagrange Dynamics from Data file_date_updated: 2022-06-28T15:25:50Z has_accepted_license: '1' intvolume: ' 421' keyword: - Lagrangian learning - variational backward error analysis - modified Lagrangian - variational integrators - physics informed learning language: - iso: eng oa: '1' page: '114780' publication: Journal of Computational and Applied Mathematics publication_identifier: issn: - 0377-0427 publication_status: epub_ahead publisher: Elsevier quality_controlled: '1' related_material: link: - relation: software url: https://github.com/Christian-Offen/LagrangianShadowIntegration status: public title: Variational Learning of Euler–Lagrange Dynamics from Data type: journal_article user_id: '85279' volume: 421 year: '2023' ... --- _id: '60304' 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. author: - first_name: Christoph full_name: Zirngibl, Christoph last_name: Zirngibl - first_name: Sven full_name: Martin, Sven last_name: Martin - first_name: Christian full_name: Steinfelder, Christian last_name: Steinfelder - first_name: Benjamin full_name: Schleich, Benjamin last_name: Schleich - first_name: Thomas full_name: Tröster, Thomas last_name: Tröster - first_name: Alexander full_name: Brosius, Alexander last_name: Brosius - first_name: Sandro full_name: Wartzack, Sandro last_name: Wartzack citation: ama: 'Zirngibl C, Martin S, Steinfelder C, et al. Methodical approach for the design and dimensioning of mechanical clinched assemblies. In: Materials Research Proceedings. Vol 25. Materials Research Forum LLC; 2023. doi:10.21741/9781644902417-23' apa: Zirngibl, C., Martin, S., Steinfelder, C., Schleich, B., Tröster, T., Brosius, A., & Wartzack, S. (2023). Methodical approach for the design and dimensioning of mechanical clinched assemblies. Materials Research Proceedings, 25. https://doi.org/10.21741/9781644902417-23 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={10.21741/9781644902417-23}, 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} }' 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 Materials Research Proceedings, Vol. 25. Materials Research Forum LLC, 2023. https://doi.org/10.21741/9781644902417-23. ieee: 'C. Zirngibl et al., “Methodical approach for the design and dimensioning of mechanical clinched assemblies,” in Materials Research Proceedings, Erlangen-Nürnberg, 2023, vol. 25, doi: 10.21741/9781644902417-23.' mla: Zirngibl, Christoph, et al. “Methodical Approach for the Design and Dimensioning of Mechanical Clinched Assemblies.” Materials Research Proceedings, vol. 25, Materials Research Forum LLC, 2023, doi:10.21741/9781644902417-23. short: 'C. Zirngibl, S. Martin, C. Steinfelder, B. Schleich, T. Tröster, A. Brosius, S. Wartzack, in: Materials Research Proceedings, Materials Research Forum LLC, 2023.' conference: end_date: 2023-04-05 location: Erlangen-Nürnberg name: 20th International Conference on Sheet Metal start_date: 2023-04-02 date_created: 2025-06-23T08:08:23Z date_updated: 2025-06-23T08:15:07Z department: - _id: '630' doi: 10.21741/9781644902417-23 intvolume: ' 25' keyword: - Joining - Structural Analysis - Machine Learning language: - iso: eng project: - _id: '130' grant_number: '418701707' name: 'TRR 285: TRR 285: Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen Prozessketten' - _id: '132' name: 'TRR 285 - B: TRR 285 - Project Area B' - _id: '140' name: 'TRR 285 – B01: TRR 285 - Subproject B01' - _id: '144' name: 'TRR 285 – B05: TRR 285 - Subproject B05' publication: Materials Research Proceedings publication_identifier: issn: - 2474-395X publication_status: published publisher: Materials Research Forum LLC status: public title: Methodical approach for the design and dimensioning of mechanical clinched assemblies type: conference user_id: '104464' volume: 25 year: '2023' ... --- _id: '30236' abstract: - lang: eng 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." author: - first_name: Stefan Balthasar full_name: Schneider, Stefan Balthasar id: '35343' last_name: Schneider orcid: 0000-0001-8210-4011 - first_name: Stefan full_name: Werner, Stefan last_name: Werner - first_name: Ramin full_name: Khalili, Ramin last_name: Khalili - first_name: Artur full_name: Hecker, Artur last_name: Hecker - first_name: Holger full_name: Karl, Holger id: '126' last_name: Karl citation: ama: 'Schneider SB, Werner S, Khalili R, Hecker A, Karl H. mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. In: IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE; 2022.' apa: 'Schneider, S. B., Werner, S., Khalili, R., Hecker, A., & Karl, H. (2022). mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest.' 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} }' 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 IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE, 2022.' 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.' mla: 'Schneider, Stefan Balthasar, et al. “Mobile-Env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks.” IEEE/IFIP Network Operations and Management Symposium (NOMS), 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.' conference: end_date: 2022-04-29 location: Budapest name: IEEE/IFIP Network Operations and Management Symposium (NOMS) start_date: 2022-04-25 date_created: 2022-03-10T18:28:14Z date_updated: 2022-03-10T18:28:19Z ddc: - '004' department: - _id: '75' file: - access_level: open_access content_type: application/pdf creator: stschn date_created: 2022-03-10T18:25:41Z date_updated: 2022-03-10T18:25:41Z file_id: '30237' file_name: author_version.pdf file_size: 223412 relation: main_file file_date_updated: 2022-03-10T18:25:41Z has_accepted_license: '1' keyword: - wireless mobile networks - network management - continuous control - cognitive networks - autonomous coordination - reinforcement learning - gym environment - simulation - open source language: - iso: eng oa: '1' project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '4' name: 'SFB 901 - C: SFB 901 - Project Area C' - _id: '16' name: 'SFB 901 - C4: SFB 901 - Subproject C4' publication: IEEE/IFIP Network Operations and Management Symposium (NOMS) publisher: IEEE quality_controlled: '1' status: public title: 'mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks' type: conference user_id: '35343' year: '2022' ... --- _id: '30291' abstract: - lang: eng 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." alternative_title: - Insights from a Growing Field citation: ama: Harteis C, Gijbels D, Kyndt E, eds. Research Approaches on Workplace Learning. Springer International Publishing; 2022. doi:10.1007/978-3-030-89582-2 apa: Harteis, C., Gijbels, D., & Kyndt, E. (Eds.). (2022). Research Approaches on Workplace Learning. Springer International Publishing. https://doi.org/10.1007/978-3-030-89582-2 bibtex: '@book{Harteis_Gijbels_Kyndt_2022, place={Cham}, title={Research Approaches on Workplace Learning}, DOI={10.1007/978-3-030-89582-2}, publisher={Springer International Publishing}, year={2022} }' chicago: 'Harteis, Christian, David Gijbels, and Eva Kyndt, eds. Research Approaches on Workplace Learning. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-89582-2.' ieee: 'C. Harteis, D. Gijbels, and E. Kyndt, Eds., Research Approaches on Workplace Learning. Cham: Springer International Publishing, 2022.' mla: Harteis, Christian, et al., editors. Research Approaches on Workplace Learning. Springer International Publishing, 2022, doi:10.1007/978-3-030-89582-2. short: C. Harteis, D. Gijbels, E. Kyndt, eds., Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022. date_created: 2022-03-13T19:13:27Z date_updated: 2022-03-13T19:14:34Z department: - _id: '452' doi: 10.1007/978-3-030-89582-2 editor: - first_name: Christian full_name: Harteis, Christian id: '27503' last_name: Harteis orcid: https://orcid.org/0000-0002-3570-7626 - first_name: David full_name: Gijbels, David last_name: Gijbels - first_name: Eva full_name: Kyndt, Eva last_name: Kyndt 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 language: - iso: eng place: Cham publication_identifier: isbn: - '9783030895815' - '9783030895822' issn: - 2210-5549 - 2210-5557 publication_status: published publisher: Springer International Publishing related_material: link: - relation: other url: https://link.springer.com/book/10.1007/978-3-030-89582-2#about status: public title: Research Approaches on Workplace Learning type: book_editor user_id: '50788' year: '2022' ... --- _id: '30289' 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. author: - first_name: Michael full_name: Goller, Michael id: '30984' last_name: Goller orcid: 0000-0002-2820-9178 - first_name: Susanna full_name: Paloniemi, Susanna last_name: Paloniemi citation: ama: 'Goller M, Paloniemi S. Agency: Taking Stock of Workplace Learning Research. In: Research Approaches on Workplace Learning. Springer International Publishing; 2022. doi:10.1007/978-3-030-89582-2_1' apa: 'Goller, M., & Paloniemi, S. (2022). Agency: Taking Stock of Workplace Learning Research. In Research Approaches on Workplace Learning. Springer International Publishing. https://doi.org/10.1007/978-3-030-89582-2_1' bibtex: '@inbook{Goller_Paloniemi_2022, place={Cham}, title={Agency: Taking Stock of Workplace Learning Research}, DOI={10.1007/978-3-030-89582-2_1}, booktitle={Research Approaches on Workplace Learning}, publisher={Springer International Publishing}, author={Goller, Michael and Paloniemi, Susanna}, year={2022} }' chicago: 'Goller, Michael, and Susanna Paloniemi. “Agency: Taking Stock of Workplace Learning Research.” In Research Approaches on Workplace Learning. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-89582-2_1.' ieee: 'M. Goller and S. Paloniemi, “Agency: Taking Stock of Workplace Learning Research,” in Research Approaches on Workplace Learning, Cham: Springer International Publishing, 2022.' mla: 'Goller, Michael, and Susanna Paloniemi. “Agency: Taking Stock of Workplace Learning Research.” Research Approaches on Workplace Learning, Springer International Publishing, 2022, doi:10.1007/978-3-030-89582-2_1.' short: 'M. Goller, S. Paloniemi, in: Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022.' date_created: 2022-03-13T19:09:20Z date_updated: 2022-03-13T19:14:43Z department: - _id: '452' doi: 10.1007/978-3-030-89582-2_1 keyword: - Agency Workplace learning Professional development Proactivity Self-direction language: - iso: eng place: Cham publication: Research Approaches on Workplace Learning publication_identifier: isbn: - '9783030895815' - '9783030895822' issn: - 2210-5549 - 2210-5557 publication_status: published publisher: Springer International Publishing related_material: link: - relation: other url: https://link.springer.com/chapter/10.1007/978-3-030-89582-2_1#Abs1 status: public title: 'Agency: Taking Stock of Workplace Learning Research' type: book_chapter user_id: '50788' year: '2022' ... --- _id: '34140' 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. author: - first_name: Jad full_name: Maalouly, Jad last_name: Maalouly - first_name: Dennis full_name: Hemker, Dennis last_name: Hemker - first_name: Christian full_name: Hedayat, Christian last_name: Hedayat - first_name: Christian full_name: Rückert, Christian last_name: Rückert - first_name: Ivan full_name: Kaufmann, Ivan last_name: Kaufmann - first_name: Marcel full_name: Olbrich, Marcel last_name: Olbrich - first_name: Sven full_name: Lange, Sven id: '38240' last_name: Lange - first_name: Harald full_name: Mathis, Harald last_name: Mathis citation: ama: 'Maalouly J, Hemker D, Hedayat C, et al. AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development. In: 2022 Kleinheubach Conference. IEEE; 2022.' apa: Maalouly, J., Hemker, D., Hedayat, C., Rückert, C., Kaufmann, I., Olbrich, M., Lange, S., & Mathis, H. (2022). AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development. 2022 Kleinheubach Conference. 2022 Kleinheubach Conference, Miltenberg, Germany. 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} }' 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 2022 Kleinheubach Conference. Miltenberg, Germany: IEEE, 2022.' ieee: J. Maalouly et al., “AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development,” presented at the 2022 Kleinheubach Conference, Miltenberg, Germany, 2022. mla: Maalouly, Jad, et al. “AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development.” 2022 Kleinheubach Conference, 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.' conference: end_date: 2022-09-29 location: Miltenberg, Germany name: 2022 Kleinheubach Conference start_date: 2022-09-27 date_created: 2022-11-24T14:21:17Z date_updated: 2022-11-24T14:21:34Z department: - _id: '59' - _id: '485' keyword: - emc - pcb - electronic system development - machine learning - neural network language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/document/9954484 place: Miltenberg, Germany project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publication: 2022 Kleinheubach Conference publication_identifier: eisbn: - 978-3-948571-07-8 publication_status: published publisher: IEEE status: public title: AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development type: conference user_id: '38240' year: '2022' ... --- _id: '33510' abstract: - lang: eng 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). author: - first_name: Tom full_name: Sander, Tom last_name: Sander - first_name: Sven full_name: Lange, Sven id: '38240' last_name: Lange - first_name: Ulrich full_name: Hilleringmann, Ulrich last_name: Hilleringmann - first_name: Volker full_name: Geneiß, Volker last_name: Geneiß - first_name: Christian full_name: Hedayat, Christian last_name: Hedayat - first_name: Harald full_name: Kuhn, Harald last_name: Kuhn citation: 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: 2022 Smart Systems Integration (SSI). IEEE; 2022. doi:10.1109/ssi56489.2022.9901433' apa: Sander, T., Lange, S., Hilleringmann, U., Geneiß, V., Hedayat, C., & Kuhn, H. (2022). Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods. 2022 Smart Systems Integration (SSI). 2022 Smart Systems Integration (SSI), Grenoble, France. https://doi.org/10.1109/ssi56489.2022.9901433 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={10.1109/ssi56489.2022.9901433}, 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} }' 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 2022 Smart Systems Integration (SSI). Grenoble, France: IEEE, 2022. https://doi.org/10.1109/ssi56489.2022.9901433.' 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: 10.1109/ssi56489.2022.9901433.' mla: Sander, Tom, et al. “Detection of Defects on Irregularly Structured Surfaces Using Supervised and Semi-Supervised Learning Methods.” 2022 Smart Systems Integration (SSI), IEEE, 2022, doi:10.1109/ssi56489.2022.9901433. short: 'T. Sander, S. Lange, U. Hilleringmann, V. Geneiß, C. Hedayat, H. Kuhn, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2022.' conference: end_date: 2022-04-28 location: Grenoble, France name: 2022 Smart Systems Integration (SSI) start_date: 2022-04-27 date_created: 2022-10-04T11:35:55Z date_updated: 2022-10-04T11:37:39Z department: - _id: '59' - _id: '485' doi: 10.1109/ssi56489.2022.9901433 keyword: - Machine Learning - CNN - Hashing - semi-supervised learning language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/document/9901433 place: Grenoble, France project: - _id: '52' name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing' publication: 2022 Smart Systems Integration (SSI) publication_status: published publisher: IEEE status: public title: Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods type: conference user_id: '38240' year: '2022' ... --- _id: '44529' abstract: - lang: eng text: "According to the German Rectors’ Conference (HRK), German higher education teaching fails to\r\nmeet the demand to integrate competence-oriented learning objectives. Despite a wide-ranging debate on the use of learning objectives, empirical research on their effectiveness is scarce. The present study uses the features of digital teaching platforms to investigate the perception and effectiveness of learning objectives applying a randomised controlled experiment followed by a survey in a course for undergraduate economics students (N = 30). Controlling group preconditions and the treatment effect allows to draw conclusions about the different learning outcomes of the student groups. The specification of behaviour-oriented learning objectives in the online course system leads to significantly better performance in the treatment group. A stronger perception of the learning objectives in the treatment group supports this effect that remains significant in a regression analysis. Thus, the study provides an empirical justification to integrate learning objectives in university teaching." article_type: original author: - first_name: Thorsten Fabian full_name: Auer, Thorsten Fabian id: '49071' last_name: Auer citation: ama: Auer TF. Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie. die hochschullehre. 2022;8(1):662-675. doi:http://doi.org/10.3278/HSL2248W apa: Auer, T. F. (2022). Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie. die hochschullehre, 8(1), 662–675. https://doi.org/10.3278/HSL2248W bibtex: '@article{Auer_2022, title={Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie}, volume={8}, DOI={http://doi.org/10.3278/HSL2248W}, number={1}, journal={die hochschullehre}, author={Auer, Thorsten Fabian}, year={2022}, pages={662–675} }' chicago: 'Auer, Thorsten Fabian. “Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie.” die hochschullehre 8, no. 1 (2022): 662–75. https://doi.org/10.3278/HSL2248W.' ieee: 'T. F. Auer, “Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie,” die hochschullehre, vol. 8, no. 1, pp. 662–675, 2022, doi: http://doi.org/10.3278/HSL2248W.' mla: Auer, Thorsten Fabian. “Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie.” die hochschullehre, vol. 8, no. 1, 2022, pp. 662–75, doi:http://doi.org/10.3278/HSL2248W. short: T.F. Auer, die hochschullehre 8 (2022) 662–675. date_created: 2023-05-05T17:19:24Z date_updated: 2023-11-23T08:06:46Z department: - _id: '178' - _id: '184' doi: http://doi.org/10.3278/HSL2248W intvolume: ' 8' issue: '1' keyword: - learning objectives - academic performance - perception - teaching methods - experiment language: - iso: ger main_file_link: - open_access: '1' url: https://die-hochschullehre.de/articles/abstract/10.3278/HSL2248W/#downloads oa: '1' page: 662-675 publication: die hochschullehre publication_identifier: issn: - 2199-8825 publication_status: published quality_controlled: '1' status: public title: Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie type: journal_article user_id: '49071' volume: 8 year: '2022' ... --- _id: '48878' abstract: - lang: eng text: Due to the rise of continuous data-generating applications, analyzing data streams has gained increasing attention over the past decades. A core research area in stream data is stream classification, which categorizes or detects data points within an evolving stream of observations. Areas of stream classification are diverse\textemdash ranging, e.g., from monitoring sensor data to analyzing a wide range of (social) media applications. Research in stream classification is related to developing methods that adapt to the changing and potentially volatile data stream. It focuses on individual aspects of the stream classification pipeline, e.g., designing suitable algorithm architectures, an efficient train and test procedure, or detecting so-called concept drifts. As a result of the many different research questions and strands, the field is challenging to grasp, especially for beginners. This survey explores, summarizes, and categorizes work within the domain of stream classification and identifies core research threads over the past few years. It is structured based on the stream classification process to facilitate coordination within this complex topic, including common application scenarios and benchmarking data sets. Thus, both newcomers to the field and experts who want to widen their scope can gain (additional) insight into this research area and find starting points and pointers to more in-depth literature on specific issues and research directions in the field. author: - first_name: Lena full_name: Clever, Lena last_name: Clever - first_name: Janina Susanne full_name: Pohl, Janina Susanne last_name: Pohl - first_name: Jakob full_name: Bossek, Jakob id: '102979' last_name: Bossek orcid: 0000-0002-4121-4668 - first_name: Pascal full_name: Kerschke, Pascal last_name: Kerschke - first_name: Heike full_name: Trautmann, Heike last_name: Trautmann citation: ama: 'Clever L, Pohl JS, Bossek J, Kerschke P, Trautmann H. Process-Oriented Stream Classification Pipeline: A Literature Review. Applied Sciences. 2022;12(18):9094. doi:10.3390/app12189094' apa: 'Clever, L., Pohl, J. S., Bossek, J., Kerschke, P., & Trautmann, H. (2022). Process-Oriented Stream Classification Pipeline: A Literature Review. Applied Sciences, 12(18), 9094. https://doi.org/10.3390/app12189094' bibtex: '@article{Clever_Pohl_Bossek_Kerschke_Trautmann_2022, title={Process-Oriented Stream Classification Pipeline: A Literature Review}, volume={12}, DOI={10.3390/app12189094}, number={18}, journal={Applied Sciences}, publisher={{Multidisciplinary Digital Publishing Institute}}, author={Clever, Lena and Pohl, Janina Susanne and Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike}, year={2022}, pages={9094} }' chicago: 'Clever, Lena, Janina Susanne Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Process-Oriented Stream Classification Pipeline: A Literature Review.” Applied Sciences 12, no. 18 (2022): 9094. https://doi.org/10.3390/app12189094.' ieee: 'L. Clever, J. S. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Process-Oriented Stream Classification Pipeline: A Literature Review,” Applied Sciences, vol. 12, no. 18, p. 9094, 2022, doi: 10.3390/app12189094.' mla: 'Clever, Lena, et al. “Process-Oriented Stream Classification Pipeline: A Literature Review.” Applied Sciences, vol. 12, no. 18, {Multidisciplinary Digital Publishing Institute}, 2022, p. 9094, doi:10.3390/app12189094.' short: L. Clever, J.S. Pohl, J. Bossek, P. Kerschke, H. Trautmann, Applied Sciences 12 (2022) 9094. date_created: 2023-11-14T15:58:57Z date_updated: 2023-12-13T10:50:56Z department: - _id: '819' doi: 10.3390/app12189094 intvolume: ' 12' issue: '18' keyword: - big data - data mining - data stream analysis - machine learning - stream classification - supervised learning language: - iso: eng page: '9094' publication: Applied Sciences publication_identifier: issn: - 2076-3417 publisher: '{Multidisciplinary Digital Publishing Institute}' status: public title: 'Process-Oriented Stream Classification Pipeline: A Literature Review' type: journal_article user_id: '102979' volume: 12 year: '2022' ... --- _id: '35111' abstract: - lang: ger text: Forschendes Lernen in der Lehrer:innenbildung ist seit der Ausweitung schulpraktischer Anteile bzw. der Einführung des sogenannten Praxissemesters eng verwoben mit der Lehrer:innenausbildung. Gleichzeitig wird bisher weitestgehend different beantwortet, was Forschendes Lernen ist und sein kann sowie warum es wie hochschuldidaktisch gerahmt wird und werden sollte. Der Beitrag widmet sich dieser Frage. Dabei zeigt sich einerseits, dass hochschuldidaktische Zugänge zur Realisierung Forschenden Lernens in der Lehrer:innenbildung erst vor dem Hintergrund theoretischer Annahmen zur Entwicklung von Lehrpersonen und deren Professionalität sowie zur Gestalt - gemeint ist hier der Beitrag zu dieser Entwicklung sowie der Anteil an Professionalität - Forschenden Lernens entwickelt werden können, eine solche Fundierung aber oftmals ausbleibt. Andererseits wird herausgearbeitet, inwiefern eine Differenz zwischen wissenschaftlicher Forschung und Forschung im Forschenden Lernen besteht. Daran anschließend wird eine habitustheoretische Fundierung Forschenden Lernens vorgestellt und es werden exemplarisch deren Implikationen für die Gestaltung Forschenden Lernens benannt. Abschließend wird anhand empirischer Rekonstruktionen beispielhaft eine praktische Umsetzung diskutiert. - lang: eng text: "Research-based learning in teacher education has been closely interwoven with teacher education since the introduction of the so-called Praxissemester. Nonetheless research has so far largely an- swered differently what research-based learning is and how it should be framed in university learn- ing opportunities. This article addresses the question. On the one hand, it shows that university learning opportunities which would realize research-based learning in teacher education can only be developed against the background of theoretical assumptions about teacher professionalism and its development as well as the form of research-based learning. On the other hand, it is worked out to what extent there is a difference between scientific research and research in research-based learning. Subsequently, a habitus-theoretical foundation of research-based learning will be pre-\r\n300 Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung sented and their implications for the design of research-based learning will be named as examples,\r\nand empirical reconstructions will be used to discuss a practical implementation as an example." alternative_title: - ' Fragen, Erwägungen und Rekonstruktionen' author: - first_name: Thiemo full_name: Bloh, Thiemo id: '69383' last_name: Bloh orcid: 0000-0002-2215-2924 - first_name: Carina full_name: Caruso, Carina id: '23123' last_name: Caruso citation: ama: Bloh T, Caruso C. Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung. die hochschullehre. 2022;8(21):299–312. doi:10.3278/HSL2221W apa: Bloh, T., & Caruso, C. (2022). Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung. die hochschullehre, 8(21), 299–312. https://doi.org/10.3278/HSL2221W bibtex: '@article{Bloh_Caruso_2022, title={Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung}, volume={8}, DOI={10.3278/HSL2221W}, number={21}, journal={die hochschullehre}, publisher={wbv }, author={Bloh, Thiemo and Caruso, Carina}, year={2022}, pages={299–312} }' chicago: 'Bloh, Thiemo, and Carina Caruso. “Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung.” die hochschullehre 8, no. 21 (2022): 299–312. https://doi.org/10.3278/HSL2221W.' ieee: 'T. Bloh and C. Caruso, “Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung,” die hochschullehre, vol. 8, no. 21, pp. 299–312, 2022, doi: 10.3278/HSL2221W.' mla: Bloh, Thiemo, and Carina Caruso. “Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung.” die hochschullehre, vol. 8, no. 21, wbv , 2022, pp. 299–312, doi:10.3278/HSL2221W. short: T. Bloh, C. Caruso, die hochschullehre 8 (2022) 299–312. date_created: 2023-01-02T13:38:50Z date_updated: 2024-03-27T20:02:14Z doi: 10.3278/HSL2221W intvolume: ' 8' issue: '21' keyword: - Forschendes Lernen - Lehrer:innenausbildung - Praxissemester - Professionalisierung / Research-based learning - teacher education - internships - professionalization language: - iso: ger page: 299–312 publication: die hochschullehre publication_identifier: issn: - 2199-8825 publication_status: published publisher: 'wbv ' status: public title: Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung type: journal_article user_id: '86519' volume: 8 year: '2022' ...