--- _id: '34822' abstract: - lang: eng text: The role of domain-specific content knowledge is discussed controversially for the early childhood context. Therefore, this review aims at untangling the research on domain-specific content knowledge for early childhood educators by systematically reviewing the conceptual and operational definition of and results on early childhood educators' content knowledge in different domains. Using the scientific databases ERIC, PsycInfo and Web of Sciences, we identified 36 studies on early childhood educators' domain-specific content knowledge. By comparing these studies, we found that conceptualizations of early childhood educators' content knowledge move on a continuum between a scientific related perspective and a practice related perspective. The scientific related perspective defines content knowledge as the knowledge of key concepts, facts and rules of the domain integrating knowledge taught in primary, secondary or upper secondary school. The practice related perspective includes knowledge of key concepts, facts and rules of the domain limited to the knowledge explicitly relevant for teaching in early childhood education as well as selected domain-specific knowledge of children and teaching. Our review shows that the results and implications drawn by the study authors depend on how these authors conceptualize early childhood educators' content knowledge on this continuum. Further research, therefore, needs to consider carefully how early childhood educators' content knowledge is conceptualized. The paper further discusses gaps in this research field, such as validating methods for measuring early childhood educators' content knowledge or implementing more rigorous experimental designs to examine effects of early childhood educators' content knowledge. article_type: review author: - first_name: Julia full_name: Bruns, Julia id: '72183' last_name: Bruns orcid: https://orcid.org/0000-0002-6604-5864 - first_name: Hedwig full_name: Gasteiger, Hedwig last_name: Gasteiger - first_name: Carolin full_name: Strahl, Carolin last_name: Strahl citation: ama: 'Bruns J, Gasteiger H, Strahl C. Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review. Review of Education. 2021;9(2):500-538. doi:10.1002/rev3.3255' apa: 'Bruns, J., Gasteiger, H., & Strahl, C. (2021). Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review. Review of Education, 9(2), 500–538. https://doi.org/10.1002/rev3.3255' bibtex: '@article{Bruns_Gasteiger_Strahl_2021, title={Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review}, volume={9}, DOI={10.1002/rev3.3255}, number={2}, journal={Review of Education}, publisher={Wiley}, author={Bruns, Julia and Gasteiger, Hedwig and Strahl, Carolin}, year={2021}, pages={500–538} }' chicago: 'Bruns, Julia, Hedwig Gasteiger, and Carolin Strahl. “Conceptualising and Measuring Domain-Specific Content Knowledge of Early Childhood Educators: A Systematic Review.” Review of Education 9, no. 2 (2021): 500–538. https://doi.org/10.1002/rev3.3255.' ieee: 'J. Bruns, H. Gasteiger, and C. Strahl, “Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review,” Review of Education, vol. 9, no. 2, pp. 500–538, 2021, doi: 10.1002/rev3.3255.' mla: 'Bruns, Julia, et al. “Conceptualising and Measuring Domain-Specific Content Knowledge of Early Childhood Educators: A Systematic Review.” Review of Education, vol. 9, no. 2, Wiley, 2021, pp. 500–38, doi:10.1002/rev3.3255.' short: J. Bruns, H. Gasteiger, C. Strahl, Review of Education 9 (2021) 500–538. date_created: 2022-12-22T09:22:46Z date_updated: 2023-06-20T19:04:34Z department: - _id: '611' - _id: '97' doi: 10.1002/rev3.3255 external_id: isi: - '000614156400001' intvolume: ' 9' isi: '1' issue: '2' keyword: - content knowledge - domain-specific learning - early childhood education - teacher knowledge language: - iso: eng page: 500-538 publication: Review of Education publication_identifier: issn: - 2049-6613 publication_status: published publisher: Wiley quality_controlled: '1' status: public title: 'Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review' type: journal_article user_id: '49063' volume: 9 year: '2021' ... --- _id: '27491' abstract: - lang: eng text: ' Students often have a lack of understanding and awareness of where, how, and why personal data about them is collected and processed. Especially, when interacting with data-driven digital artifacts, an appropriate perception of the data collection and processing is necessary for self-determination. This dissertation deals with the development and evaluation of a concept called data awareness which aims to foster students’ self-determination interacting with data-driven digital artifacts.' author: - first_name: Lukas full_name: Höper, Lukas id: '58041' last_name: Höper citation: ama: 'Höper L. Developing and Evaluating the Concept Data Awareness for K12 Computing Education. In: 21st Koli Calling International Conference on Computing Education Research. Koli Calling ’21. Association for Computing Machinery; 2021. doi:10.1145/3488042.3490509' apa: Höper, L. (2021). Developing and Evaluating the Concept Data Awareness for K12 Computing Education. 21st Koli Calling International Conference on Computing Education Research. https://doi.org/10.1145/3488042.3490509 bibtex: '@inproceedings{Höper_2021, place={New York, NY, USA}, series={Koli Calling ’21}, title={Developing and Evaluating the Concept Data Awareness for K12 Computing Education}, DOI={10.1145/3488042.3490509}, booktitle={21st Koli Calling International Conference on Computing Education Research}, publisher={Association for Computing Machinery}, author={Höper, Lukas}, year={2021}, collection={Koli Calling ’21} }' chicago: 'Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for K12 Computing Education.” In 21st Koli Calling International Conference on Computing Education Research. Koli Calling ’21. New York, NY, USA: Association for Computing Machinery, 2021. https://doi.org/10.1145/3488042.3490509.' ieee: 'L. Höper, “Developing and Evaluating the Concept Data Awareness for K12 Computing Education,” 2021, doi: 10.1145/3488042.3490509.' mla: Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for K12 Computing Education.” 21st Koli Calling International Conference on Computing Education Research, Association for Computing Machinery, 2021, doi:10.1145/3488042.3490509. short: 'L. Höper, in: 21st Koli Calling International Conference on Computing Education Research, Association for Computing Machinery, New York, NY, USA, 2021.' date_created: 2021-11-16T07:59:49Z date_updated: 2024-09-16T08:32:39Z department: - _id: '67' doi: 10.1145/3488042.3490509 keyword: - data awareness - machine learning - data science education - data-driven digital artifacts - artificial intelligence language: - iso: eng place: New York, NY, USA publication: 21st Koli Calling International Conference on Computing Education Research publication_identifier: isbn: - '9781450384889' publisher: Association for Computing Machinery quality_controlled: '1' series_title: Koli Calling '21 status: public title: Developing and Evaluating the Concept Data Awareness for K12 Computing Education type: conference user_id: '58041' year: '2021' ... --- _id: '22930' abstract: - lang: eng text: Self-piercing riveting is an established technique for joining multi-material structures in car body manufacturing. Rivets for self-piercing riveting differ in their geometry, the material used, the condition of the material and their surface condition. To shorten the manufacturing process by omitting the heat treatment and the coating process, the authors have elaborated a concept for the use of stainless steel with high strain hardening as a rivet material. The focus of the present investigation is on the evaluation of the influences of the rivet’s geometry and material on its deformation behaviour. Conventional rivets of types P and HD2, a rivet with an improved geometry made of treatable steel 38B2, and rivets made of the stainless steels 1.3815 and 1.4541 are examined. The analysis is conducted by means of multi-step joining tests for two material combinations comprising high-strength steel HCT70X and aluminium EN AW-5083. The joints are cut to provide a cross-section and the deformation behaviour of the different rivets is analysed on the basis of the measured changes in geometry and hardness. In parallel, an examination of the force-stroke curves provides further insights. It can be demonstrated that, besides the geometry, the material strength, in particular, has a significant influence on the deformation behaviour of the rivet. The strength of steel 1.4541 is seen to be too low for the joining task, while the strength of steel 1.3815 is sufficient, and hence the investigation confirms the capability of rivets made of 1.3815 for joining even challenging material combinations. author: - first_name: Benedikt full_name: Uhe, Benedikt id: '38131' last_name: Uhe - first_name: Clara-Maria full_name: Kuball, Clara-Maria last_name: Kuball - first_name: Marion full_name: Merklein, Marion last_name: Merklein - first_name: Gerson full_name: Meschut, Gerson id: '32056' last_name: Meschut orcid: 0000-0002-2763-1246 citation: ama: 'Uhe B, Kuball C-M, Merklein M, Meschut G. Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening. In: Daehn G, Cao J, Kinsey B, Tekkaya E, Vivek A, Yoshida Y, eds. Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series. Springer; 2021:1495-1506. doi:10.1007/978-3-030-75381-8_124' apa: Uhe, B., Kuball, C.-M., Merklein, M., & Meschut, G. (2021). Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening. In G. Daehn, J. Cao, B. Kinsey, E. Tekkaya, A. Vivek, & Y. Yoshida (Eds.), Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series. (pp. 1495–1506). Springer. https://doi.org/10.1007/978-3-030-75381-8_124 bibtex: '@inbook{Uhe_Kuball_Merklein_Meschut_2021, place={Cham}, title={Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening}, DOI={10.1007/978-3-030-75381-8_124}, booktitle={Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series.}, publisher={Springer}, author={Uhe, Benedikt and Kuball, Clara-Maria and Merklein, Marion and Meschut, Gerson}, editor={Daehn, Glenn and Cao, Jian and Kinsey, Brad and Tekkaya, Erman and Vivek, Anupam and Yoshida, Yoshinori}, year={2021}, pages={1495–1506} }' chicago: 'Uhe, Benedikt, Clara-Maria Kuball, Marion Merklein, and Gerson Meschut. “Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening.” In Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series., edited by Glenn Daehn, Jian Cao, Brad Kinsey, Erman Tekkaya, Anupam Vivek, and Yoshinori Yoshida, 1495–1506. Cham: Springer, 2021. https://doi.org/10.1007/978-3-030-75381-8_124.' ieee: 'B. Uhe, C.-M. Kuball, M. Merklein, and G. Meschut, “Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening,” in Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series., G. Daehn, J. Cao, B. Kinsey, E. Tekkaya, A. Vivek, and Y. Yoshida, Eds. Cham: Springer, 2021, pp. 1495–1506.' mla: Uhe, Benedikt, et al. “Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening.” Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series., edited by Glenn Daehn et al., Springer, 2021, pp. 1495–506, doi:10.1007/978-3-030-75381-8_124. short: 'B. Uhe, C.-M. Kuball, M. Merklein, G. Meschut, in: G. Daehn, J. Cao, B. Kinsey, E. Tekkaya, A. Vivek, Y. Yoshida (Eds.), Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series., Springer, Cham, 2021, pp. 1495–1506.' date_created: 2021-08-04T14:02:32Z date_updated: 2026-02-27T10:40:39Z department: - _id: '157' doi: 10.1007/978-3-030-75381-8_124 editor: - first_name: Glenn full_name: Daehn, Glenn last_name: Daehn - first_name: Jian full_name: Cao, Jian last_name: Cao - first_name: Brad full_name: Kinsey, Brad last_name: Kinsey - first_name: Erman full_name: Tekkaya, Erman last_name: Tekkaya - first_name: Anupam full_name: Vivek, Anupam last_name: Vivek - first_name: Yoshinori full_name: Yoshida, Yoshinori last_name: Yoshida keyword: - Self-piercing riveting - Lightweight design - Deformation behaviour - Stainless steel - High nitrogen steel language: - iso: eng page: 1495-1506 place: Cham publication: Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series. publication_status: published publisher: Springer quality_controlled: '1' status: public title: Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening type: book_chapter user_id: '53912' year: '2021' ... --- _id: '22274' abstract: - lang: eng text: 'The use of high-strength steel and aluminium is rising due to the intensified efforts being made in lightweight design, and self-piercing riveting is becoming increasingly important. Conventional rivets for self-piercing riveting differ in their geometry, the material used, the condition of the material and the coating. To shorten the manufacturing process, the use of stainless steel with high strain hardening as the rivet material represents a promising approach. This allows the coating of the rivets to be omitted due to the corrosion resistance of the material and, since the strength of the stainless steel is achieved by cold forming, heat treatment is no longer required. In addition, it is possible to adjust the local strength within the rivet. Because of that, the authors have elaborated a concept for using high nitrogen steel 1.3815 as the rivet material. The present investigation focusses on the joint strength in order to evaluate the capability of rivets in high nitrogen steel by comparison to conventional rivets made of treatable steel. Due to certain challenges in the forming process of the high nitrogen steel rivets, deviations result from the targeted rivet geometry. Mainly these deviations cause a lower joint strength with these rivets, which is, however, adequate. All in all, the capability of the new rivet is proven by the results of this investigation. ' author: - first_name: Benedikt full_name: Uhe, Benedikt id: '38131' last_name: Uhe - first_name: Clara-Maria full_name: Kuball, Clara-Maria last_name: Kuball - first_name: Marion full_name: Merklein, Marion last_name: Merklein - first_name: Gerson full_name: Meschut, Gerson id: '32056' last_name: Meschut orcid: 0000-0002-2763-1246 citation: ama: 'Uhe B, Kuball C-M, Merklein M, Meschut G. Strength of self-piercing riveted Joints with conventional Rivets and Rivets made of High Nitrogen Steel. In: ; 2021. doi:10.25518/esaform21.1911' apa: Uhe, B., Kuball, C.-M., Merklein, M., & Meschut, G. (2021). Strength of self-piercing riveted Joints with conventional Rivets and Rivets made of High Nitrogen Steel. 24th International Conference on Material Forming (ESAFORM), Liège, Belgien. https://doi.org/10.25518/esaform21.1911 bibtex: '@inproceedings{Uhe_Kuball_Merklein_Meschut_2021, title={Strength of self-piercing riveted Joints with conventional Rivets and Rivets made of High Nitrogen Steel}, DOI={10.25518/esaform21.1911}, author={Uhe, Benedikt and Kuball, Clara-Maria and Merklein, Marion and Meschut, Gerson}, year={2021} }' chicago: Uhe, Benedikt, Clara-Maria Kuball, Marion Merklein, and Gerson Meschut. “Strength of Self-Piercing Riveted Joints with Conventional Rivets and Rivets Made of High Nitrogen Steel,” 2021. https://doi.org/10.25518/esaform21.1911. ieee: 'B. Uhe, C.-M. Kuball, M. Merklein, and G. Meschut, “Strength of self-piercing riveted Joints with conventional Rivets and Rivets made of High Nitrogen Steel,” presented at the 24th International Conference on Material Forming (ESAFORM), Liège, Belgien, 2021, doi: 10.25518/esaform21.1911.' mla: Uhe, Benedikt, et al. Strength of Self-Piercing Riveted Joints with Conventional Rivets and Rivets Made of High Nitrogen Steel. 2021, doi:10.25518/esaform21.1911. short: 'B. Uhe, C.-M. Kuball, M. Merklein, G. Meschut, in: 2021.' conference: end_date: 2021-04-16 location: Liège, Belgien name: 24th International Conference on Material Forming (ESAFORM) start_date: 2021-04-14 date_created: 2021-05-31T10:17:37Z date_updated: 2026-02-27T10:25:13Z department: - _id: '157' doi: 10.25518/esaform21.1911 keyword: - Self-piercing Riveting - Joining Technology - Rivet Geometry - Rivet Material - High Nitrogen Steel - Joint Strength language: - iso: eng quality_controlled: '1' status: public title: Strength of self-piercing riveted Joints with conventional Rivets and Rivets made of High Nitrogen Steel type: conference user_id: '53912' year: '2021' ... --- _id: '57884' abstract: - lang: eng text: Although music apps are becoming increasingly popular, there has been little research on informal music practices with apps. This article presents findings of an ongoing study on learning processes and aesthetic experiences with informal appmusic practices. In particular, it discusses the aesthetic practices (Reckwitz, 2008b) of using specific places for making music. In our grounded theory study (Charmaz, 2014) we collected data using interviews, participant observation and videography. As exemplary cases, this article presents two analyses of the use of ‘inspiring places’ and ‘safe places’. The results suggest that perceiving the atmosphere is a fundamental prerequisite for both places. Additionally, the results shed light on aesthetic aspects of mobile music making. (DIPF/Orig.) author: - first_name: Linus full_name: Eusterbrock, Linus last_name: Eusterbrock - first_name: Marc full_name: Godau, Marc id: '98877' last_name: Godau - first_name: Matthias full_name: Haenisch, Matthias last_name: Haenisch - first_name: Matthias full_name: Krebs, Matthias last_name: Krebs - first_name: Christian full_name: Rolle, Christian last_name: Rolle citation: ama: 'Eusterbrock L, Godau M, Haenisch M, Krebs M, Rolle C. Von ’inspirierenden Orten’ und ’Safe Places’. Die ästhetische Nutzung von Orten in der Appmusikpraxis. In: Hasselhorn J, Kautny O, Platz F, eds. Musikpädagogik Im Spannungsfeld von Reflexion Und Intervention. Vol 41. Musikpädagogische Forschung. Waxmann; 2021:155–172.' apa: Eusterbrock, L., Godau, M., Haenisch, M., Krebs, M., & Rolle, C. (2021). Von ’inspirierenden Orten’ und ’Safe Places’. Die ästhetische Nutzung von Orten in der Appmusikpraxis. In J. Hasselhorn, O. Kautny, & F. Platz (Eds.), Musikpädagogik im Spannungsfeld von Reflexion und Intervention (Vol. 41, pp. 155–172). Waxmann. bibtex: '@inbook{Eusterbrock_Godau_Haenisch_Krebs_Rolle_2021, place={Münster, New York}, series={Musikpädagogische Forschung}, title={Von ’inspirierenden Orten’ und ’Safe Places’. Die ästhetische Nutzung von Orten in der Appmusikpraxis}, volume={41}, booktitle={Musikpädagogik im Spannungsfeld von Reflexion und Intervention}, publisher={Waxmann}, author={Eusterbrock, Linus and Godau, Marc and Haenisch, Matthias and Krebs, Matthias and Rolle, Christian}, editor={Hasselhorn, Johannes and Kautny, Oliver and Platz, Friedrich}, year={2021}, pages={155–172}, collection={Musikpädagogische Forschung} }' chicago: 'Eusterbrock, Linus, Marc Godau, Matthias Haenisch, Matthias Krebs, and Christian Rolle. “Von ’inspirierenden Orten’ Und ’Safe Places’. Die Ästhetische Nutzung von Orten in Der Appmusikpraxis.” In Musikpädagogik Im Spannungsfeld von Reflexion Und Intervention, edited by Johannes Hasselhorn, Oliver Kautny, and Friedrich Platz, 41:155–172. Musikpädagogische Forschung. Münster, New York: Waxmann, 2021.' ieee: 'L. Eusterbrock, M. Godau, M. Haenisch, M. Krebs, and C. Rolle, “Von ’inspirierenden Orten’ und ’Safe Places’. Die ästhetische Nutzung von Orten in der Appmusikpraxis,” in Musikpädagogik im Spannungsfeld von Reflexion und Intervention, vol. 41, J. Hasselhorn, O. Kautny, and F. Platz, Eds. Münster, New York: Waxmann, 2021, pp. 155–172.' mla: Eusterbrock, Linus, et al. “Von ’inspirierenden Orten’ Und ’Safe Places’. Die Ästhetische Nutzung von Orten in Der Appmusikpraxis.” Musikpädagogik Im Spannungsfeld von Reflexion Und Intervention, edited by Johannes Hasselhorn et al., vol. 41, Waxmann, 2021, pp. 155–172. short: 'L. Eusterbrock, M. Godau, M. Haenisch, M. Krebs, C. Rolle, in: J. Hasselhorn, O. Kautny, F. Platz (Eds.), Musikpädagogik Im Spannungsfeld von Reflexion Und Intervention, Waxmann, Münster, New York, 2021, pp. 155–172.' date_created: 2024-12-30T14:42:12Z date_updated: 2025-02-06T10:51:28Z department: - _id: '131' - _id: '36' - _id: '129' - _id: '540' editor: - first_name: Johannes full_name: Hasselhorn, Johannes last_name: Hasselhorn - first_name: Oliver full_name: Kautny, Oliver last_name: Kautny - first_name: Friedrich full_name: Platz, Friedrich last_name: Platz extern: '1' intvolume: ' 41' keyword: - Education - Ästhetik - Schul- und Bildungswesen - Informal learning - Informelles Lernen - Musical education - Musikpädagogik - Anwendung - Ästhetische Erfahrung - Grounded Theory - Längsschnittuntersuchung - Learning process - Lernprozess - Longitudinal analysis - Longitudinal study - Mobiles Gerät - Music reading - Musizieren - Erziehung language: - iso: eng main_file_link: - open_access: '1' oa: '1' page: 155–172 place: Münster, New York publication: Musikpädagogik im Spannungsfeld von Reflexion und Intervention publisher: Waxmann series_title: Musikpädagogische Forschung status: public title: Von ’inspirierenden Orten’ und ’Safe Places’. Die ästhetische Nutzung von Orten in der Appmusikpraxis type: book_chapter user_id: '99991' volume: 41 year: '2021' ... --- _id: '32558' abstract: - lang: eng text: With the rapid progress of technological development, self-efficacy in reference to digital devices (i.e., information and computer technology [ICT] self-efficacy) is an important driver that helps students to deal with technological problems and support their lifelong learning processes. Schools, peers, and home learning environments are important sources for the development of positive self-efficacy. Expanding on previous research, we investigated the associations between different aspects of the digital home learning environment and students’ ICT self-efficacy. The moderation effects of gender were also tested. A total of 651 children answered a questionnaire about different digital home learning environment dimensions and estimated their ICT self-efficacy using an adapted scale—Schwarzer and Jerusalem’s (1999) general self-efficacy scale. Using the structural equation modeling technique, a digital home learning environment containing six different qualities of parental support was investigated. Families’ cultural capital, parents’ attitudes toward the Internet, and shared Internet activities at home contributed positively to ICT self-efficacy. We observed small gender differences, with the moderation effect being nonsignificant. The results help researchers and practitioners to understand how different dimensions of the digital home learning environment support ICT self-efficacy. We will discuss how parents can enhance the home learning environment and how teachers can integrate this knowledge into formal education. author: - first_name: Sabrina full_name: Bonanati, Sabrina last_name: Bonanati - first_name: Heike M. full_name: Buhl, Heike M. id: '27152' last_name: Buhl citation: ama: Bonanati S, Buhl HM. The digital home learning environment and its relation to children’s ICT self-efficacy. Learning Environments Research. 2021;25(2):485-505. doi:10.1007/s10984-021-09377-8 apa: Bonanati, S., & Buhl, H. M. (2021). The digital home learning environment and its relation to children’s ICT self-efficacy. Learning Environments Research, 25(2), 485–505. https://doi.org/10.1007/s10984-021-09377-8 bibtex: '@article{Bonanati_Buhl_2021, title={The digital home learning environment and its relation to children’s ICT self-efficacy}, volume={25}, DOI={10.1007/s10984-021-09377-8}, number={2}, journal={Learning Environments Research}, publisher={Springer Science and Business Media LLC}, author={Bonanati, Sabrina and Buhl, Heike M.}, year={2021}, pages={485–505} }' chicago: 'Bonanati, Sabrina, and Heike M. Buhl. “The Digital Home Learning Environment and Its Relation to Children’s ICT Self-Efficacy.” Learning Environments Research 25, no. 2 (2021): 485–505. https://doi.org/10.1007/s10984-021-09377-8.' ieee: 'S. Bonanati and H. M. Buhl, “The digital home learning environment and its relation to children’s ICT self-efficacy,” Learning Environments Research, vol. 25, no. 2, pp. 485–505, 2021, doi: 10.1007/s10984-021-09377-8.' mla: Bonanati, Sabrina, and Heike M. Buhl. “The Digital Home Learning Environment and Its Relation to Children’s ICT Self-Efficacy.” Learning Environments Research, vol. 25, no. 2, Springer Science and Business Media LLC, 2021, pp. 485–505, doi:10.1007/s10984-021-09377-8. short: S. Bonanati, H.M. Buhl, Learning Environments Research 25 (2021) 485–505. date_created: 2022-08-03T05:53:48Z date_updated: 2025-07-16T08:38:51Z department: - _id: '427' doi: 10.1007/s10984-021-09377-8 intvolume: ' 25' issue: '2' keyword: - Digital media use - Gender - Home learning environment - ICT self-efcacy - Motivation - Parental involvement language: - iso: eng main_file_link: - open_access: '1' url: https://link.springer.com/content/pdf/10.1007/s10984-021-09377-8.pdf oa: '1' page: 485-505 project: - _id: '378' grant_number: 01JD1814A name: 'DigHomE: DigHomE: Digital Home Learning Environment – Gelingensbedingungen elterlicher Unterstützung bei der informationsorientierten Internetnutzung' publication: Learning Environments Research publication_identifier: issn: - 1387-1579 - 1573-1855 publication_status: published publisher: Springer Science and Business Media LLC status: public title: The digital home learning environment and its relation to children’s ICT self-efficacy type: journal_article user_id: '27152' volume: 25 year: '2021' ... --- _id: '19609' abstract: - lang: eng text: "Modern services comprise interconnected components,\r\ne.g., microservices in a service mesh, that can scale and\r\nrun on multiple nodes across the network on demand. To process\r\nincoming traffic, service components have to be instantiated and\r\ntraffic assigned to these instances, taking capacities and changing\r\ndemands into account. This challenge is usually solved with\r\ncustom approaches designed by experts. While this typically\r\nworks well for the considered scenario, the models often rely\r\non unrealistic assumptions or on knowledge that is not available\r\nin practice (e.g., a priori knowledge).\r\n\r\nWe propose a novel deep reinforcement learning approach that\r\nlearns how to best coordinate services and is geared towards\r\nrealistic assumptions. It interacts with the network and relies on\r\navailable, possibly delayed monitoring information. Rather than\r\ndefining a complex model or an algorithm how to achieve an\r\nobjective, our model-free approach adapts to various objectives\r\nand traffic patterns. An agent is trained offline without expert\r\nknowledge and then applied online with minimal overhead. Compared\r\nto a state-of-the-art heuristic, it significantly improves flow\r\nthroughput and overall network utility on real-world network\r\ntopologies and traffic traces. It also learns to optimize different\r\nobjectives, generalizes to scenarios with unseen, stochastic traffic\r\npatterns, and scales to large real-world networks." author: - first_name: Stefan Balthasar full_name: Schneider, Stefan Balthasar id: '35343' last_name: Schneider orcid: 0000-0001-8210-4011 - first_name: Adnan full_name: Manzoor, Adnan last_name: Manzoor - first_name: Haydar full_name: Qarawlus, Haydar last_name: Qarawlus - first_name: Rafael full_name: Schellenberg, Rafael last_name: Schellenberg - first_name: Holger full_name: Karl, Holger id: '126' last_name: Karl - first_name: Ramin full_name: Khalili, Ramin last_name: Khalili - first_name: Artur full_name: Hecker, Artur last_name: Hecker citation: ama: 'Schneider SB, Manzoor A, Qarawlus H, et al. Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In: IEEE International Conference on Network and Service Management (CNSM). IEEE; 2020.' apa: Schneider, S. B., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., Khalili, R., & Hecker, A. (2020). Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In IEEE International Conference on Network and Service Management (CNSM). IEEE. bibtex: '@inproceedings{Schneider_Manzoor_Qarawlus_Schellenberg_Karl_Khalili_Hecker_2020, title={Self-Driving Network and Service Coordination Using Deep Reinforcement Learning}, booktitle={IEEE International Conference on Network and Service Management (CNSM)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Manzoor, Adnan and Qarawlus, Haydar and Schellenberg, Rafael and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2020} }' chicago: Schneider, Stefan Balthasar, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, Ramin Khalili, and Artur Hecker. “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning.” In IEEE International Conference on Network and Service Management (CNSM). IEEE, 2020. ieee: S. B. Schneider et al., “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning,” in IEEE International Conference on Network and Service Management (CNSM), 2020. mla: Schneider, Stefan Balthasar, et al. “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning.” IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020. short: 'S.B. Schneider, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, R. Khalili, A. Hecker, in: IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.' date_created: 2020-09-22T06:28:22Z date_updated: 2022-01-06T06:54:08Z ddc: - '006' department: - _id: '75' file: - access_level: open_access content_type: application/pdf creator: stschn date_created: 2020-09-22T06:29:16Z date_updated: 2020-09-22T06:36:00Z file_id: '19610' file_name: ris_with_copyright.pdf file_size: 642999 relation: main_file file_date_updated: 2020-09-22T06:36:00Z has_accepted_license: '1' keyword: - self-driving networks - self-learning - network coordination - service coordination - reinforcement learning - deep learning - nfv language: - iso: eng oa: '1' project: - _id: '1' name: SFB 901 - _id: '4' name: SFB 901 - Project Area C - _id: '16' name: SFB 901 - Subproject C4 publication: IEEE International Conference on Network and Service Management (CNSM) publisher: IEEE status: public title: Self-Driving Network and Service Coordination Using Deep Reinforcement Learning type: conference user_id: '35343' year: '2020' ... --- _id: '18686' author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer citation: ama: 'Kersting J, Bäumer FS. SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020. IADIS; 2020:119--123.' apa: 'Kersting, J., & Bäumer, F. S. (2020). SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 119--123.' bibtex: '@inproceedings{Kersting_Bäumer_2020, title={SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH}, booktitle={PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020}, publisher={IADIS}, author={Kersting, Joschka and Bäumer, Frederik Simon}, year={2020}, pages={119--123} }' chicago: 'Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 119--123. IADIS, 2020.' ieee: 'J. Kersting and F. S. Bäumer, “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH,” in PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, Lisbon, Portugal, 2020, pp. 119--123.' mla: 'Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.' short: 'J. Kersting, F.S. Bäumer, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.' conference: end_date: 20.11.2020 location: Lisbon, Portugal name: 17th International Conference on Applied Computing start_date: 18.11.2020 date_created: 2020-08-31T10:59:54Z date_updated: 2022-01-06T06:53:51Z ddc: - '000' department: - _id: '579' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-11-19T17:29:03Z date_updated: 2020-11-19T17:29:03Z file_id: '20443' file_name: Kersting & Bäumer (2020), Kersting2020d.pdf file_size: 1064877 relation: main_file success: 1 file_date_updated: 2020-11-19T17:29:03Z has_accepted_license: '1' keyword: - Software Requirements - Natural Language Processing - Transfer Learning - On-The-Fly Computing language: - iso: eng page: 119--123 project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020 publisher: IADIS status: public title: 'SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH' type: conference user_id: '58701' year: '2020' ... --- _id: '15580' abstract: - lang: eng text: This paper deals with aspect phrase extraction and classification in sentiment analysis. We summarize current approaches and datasets from the domain of aspect-based sentiment analysis. This domain detects sentiments expressed for individual aspects in unstructured text data. So far, mainly commercial user reviews for products or services such as restaurants were investigated. We here present our dataset consisting of German physician reviews, a sensitive and linguistically complex field. Furthermore, we describe the annotation process of a dataset for supervised learning with neural networks. Moreover, we introduce our model for extracting and classifying aspect phrases in one step, which obtains an F1-score of 80%. By applying it to a more complex domain, our approach and results outperform previous approaches. author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Kersting J, Geierhos M. Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020). Setúbal, Portugal: SCITEPRESS; 2020:391--400.' apa: 'Kersting, J., & Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020) (pp. 391--400). Setúbal, Portugal: SCITEPRESS.' bibtex: '@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={Aspect Phrase Extraction in Sentiment Analysis with Deep Learning}, booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos, Michaela}, year={2020}, pages={391--400} }' chicago: 'Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), 391--400. Setúbal, Portugal: SCITEPRESS, 2020.' ieee: J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning,” in Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), Valetta, Malta, 2020, pp. 391--400. mla: Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, 2020, pp. 391--400. short: 'J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 391--400.' conference: location: Valetta, Malta name: International Conference on Agents and Artificial Intelligence (ICAART) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI) date_created: 2020-01-15T08:35:07Z date_updated: 2022-01-06T06:52:29Z ddc: - '000' department: - _id: '579' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:27:00Z date_updated: 2020-09-18T09:27:00Z file_id: '19576' file_name: Kersting & Geierhos (2020), Kersting2020.pdf file_size: 421780 relation: main_file success: 1 file_date_updated: 2020-09-18T09:27:00Z has_accepted_license: '1' keyword: - Deep Learning - Natural Language Processing - Aspect-based Sentiment Analysis language: - iso: eng page: 391--400 place: Setúbal, Portugal project: - _id: '3' name: SFB 901 - Project Area B - _id: '1' name: SFB 901 - _id: '9' name: SFB 901 - Subproject B1 publication: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020) publisher: SCITEPRESS status: public title: Aspect Phrase Extraction in Sentiment Analysis with Deep Learning type: conference user_id: '58701' year: '2020' ... --- _id: '20143' author: - first_name: Mortaza full_name: Otroshi, Mortaza id: '71269' last_name: Otroshi orcid: 0000-0002-8652-9209 - first_name: Moritz full_name: Rossel, Moritz last_name: Rossel - first_name: Gerson full_name: Meschut, Gerson id: '32056' last_name: Meschut orcid: 0000-0002-2763-1246 citation: ama: Otroshi M, Rossel M, Meschut G. Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model. Journal of Advanced Joining Processes. 2020;1. doi:10.1016/j.jajp.2020.100015 apa: Otroshi, M., Rossel, M., & Meschut, G. (2020). Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model. Journal of Advanced Joining Processes, 1. https://doi.org/10.1016/j.jajp.2020.100015 bibtex: '@article{Otroshi_Rossel_Meschut_2020, title={Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model}, volume={1}, DOI={10.1016/j.jajp.2020.100015}, journal={Journal of Advanced Joining Processes}, publisher={Elsevier}, author={Otroshi, Mortaza and Rossel, Moritz and Meschut, Gerson}, year={2020} }' chicago: Otroshi, Mortaza, Moritz Rossel, and Gerson Meschut. “Stress State Dependent Damage Modeling of Self-Pierce Riveting Process Simulation Using GISSMO Damage Model.” Journal of Advanced Joining Processes 1 (2020). https://doi.org/10.1016/j.jajp.2020.100015. ieee: 'M. Otroshi, M. Rossel, and G. Meschut, “Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model,” Journal of Advanced Joining Processes, vol. 1, 2020, doi: 10.1016/j.jajp.2020.100015.' mla: Otroshi, Mortaza, et al. “Stress State Dependent Damage Modeling of Self-Pierce Riveting Process Simulation Using GISSMO Damage Model.” Journal of Advanced Joining Processes, vol. 1, Elsevier, 2020, doi:10.1016/j.jajp.2020.100015. short: M. Otroshi, M. Rossel, G. Meschut, Journal of Advanced Joining Processes 1 (2020). date_created: 2020-10-20T14:49:15Z date_updated: 2022-04-25T07:49:50Z department: - _id: '157' doi: 10.1016/j.jajp.2020.100015 intvolume: ' 1' keyword: - Self-pierce riveting - Ductile fracture - Damage modeling - GISSMO damage model language: - iso: eng main_file_link: - open_access: '1' oa: '1' publication: Journal of Advanced Joining Processes publisher: Elsevier quality_controlled: '1' status: public title: Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model type: journal_article user_id: '71269' volume: 1 year: '2020' ... --- _id: '35313' abstract: - lang: eng text: The article discusses the explanatory power of conceptual change for research on workplace learning in digitalized workplaces. Interestingly, research on conceptual change is well-established within the area of science education but widely neglected within the broad area of workplace learning research. Digitalization of work establishes new quality of tasks and tools by integrating workers and machines into digital networks. Hence, conceptual change can be considered a core concept for identifying workers’ successful adaption to digital transformation. Therefore, conceptual change research in the area of workplace learning in digitalized workplaces is highly relevant. The article reflects upon reasons, explores the potential of conceptual change for understanding workplace learning in digitalized workplaces, and illustrates the argumentation by exemplarily referring to digitalized farming. Finally, the article provides suggestions for future research. alternative_title: - Challenges for Workplaces and Workplace Learning author: - first_name: Christian full_name: Harteis, Christian id: '27503' last_name: Harteis orcid: https://orcid.org/0000-0002-3570-7626 - first_name: Michael full_name: Goller, Michael id: '30984' last_name: Goller orcid: 0000-0002-2820-9178 - first_name: Carina full_name: Caruso, Carina id: '23123' last_name: Caruso citation: ama: Harteis C, Goller M, Caruso C. Conceptual Change in the Face of Digitalization. Frontiers in Education. 2020;5(1). doi:10.3389/feduc.2020.00001 apa: Harteis, C., Goller, M., & Caruso, C. (2020). Conceptual Change in the Face of Digitalization. Frontiers in Education, 5(1). https://doi.org/10.3389/feduc.2020.00001 bibtex: '@article{Harteis_Goller_Caruso_2020, title={Conceptual Change in the Face of Digitalization}, volume={5}, DOI={10.3389/feduc.2020.00001}, number={1}, journal={Frontiers in Education}, author={Harteis, Christian and Goller, Michael and Caruso, Carina}, year={2020} }' chicago: Harteis, Christian, Michael Goller, and Carina Caruso. “Conceptual Change in the Face of Digitalization.” Frontiers in Education 5, no. 1 (2020). https://doi.org/10.3389/feduc.2020.00001. ieee: 'C. Harteis, M. Goller, and C. Caruso, “Conceptual Change in the Face of Digitalization,” Frontiers in Education, vol. 5, no. 1, 2020, doi: 10.3389/feduc.2020.00001.' mla: Harteis, Christian, et al. “Conceptual Change in the Face of Digitalization.” Frontiers in Education, vol. 5, no. 1, 2020, doi:10.3389/feduc.2020.00001. short: C. Harteis, M. Goller, C. Caruso, Frontiers in Education 5 (2020). date_created: 2023-01-06T06:34:29Z date_updated: 2023-01-06T12:11:25Z doi: 10.3389/feduc.2020.00001 intvolume: ' 5' issue: '1' keyword: - conceptual change - digitalization - workplace learning - professional development - agriculture language: - iso: eng publication: Frontiers in Education publication_status: published status: public title: Conceptual Change in the Face of Digitalization type: journal_article user_id: '86519' volume: 5 year: '2020' ... --- _id: '35298' abstract: - lang: ger text: Im Artikel werden drei verschiedene Lernzugänge (kom-petenzorientiertes, ästhetisches und biographisches Lernen) vorgestellt und aus theoretischer Perspektive deren motivierender Gehalt für selbstreguliertes Lernen in Praxisphasen des Lehramtsstudiumsherausgearbeitet. Als theoretische Grund-lage dient die Selbstbestimmungstheorie als zentrale motivationale Theorie zur Erklärung selbstbestimmten Handelns. - lang: eng text: The article addresses how motivational learning approaches (competency-oriented, aesthetic and biographical) can contribute to the professionalization of preservice teachers during a long-term internship. As a theoretical basis, the self-determination theory serves as a central motivational theory for explaining self-determined action. alternative_title: - Ein Blick auf kompetenzorientiertes, ästhetisches und biographisches Lernen im Lehramtsstudium author: - first_name: Carina full_name: Caruso, Carina id: '23123' last_name: Caruso - first_name: Christine full_name: Adammek, Christine last_name: Adammek - first_name: Sabrina full_name: Bonanati, Sabrina last_name: Bonanati - first_name: Sybille full_name: Wiescholek, Sybille last_name: Wiescholek citation: ama: Caruso C, Adammek C, Bonanati S, Wiescholek S. Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen. Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion. 2020;3(1):18-33. doi:10.4119/hlz-2540 apa: Caruso, C., Adammek, C., Bonanati, S., & Wiescholek, S. (2020). Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen. Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, 3(1), 18–33. https://doi.org/10.4119/hlz-2540 bibtex: '@article{Caruso_Adammek_Bonanati_Wiescholek_2020, title={Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen}, volume={3}, DOI={10.4119/hlz-2540}, number={1}, journal={Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion}, author={Caruso, Carina and Adammek, Christine and Bonanati, Sabrina and Wiescholek, Sybille}, year={2020}, pages={18–33} }' chicago: 'Caruso, Carina, Christine Adammek, Sabrina Bonanati, and Sybille Wiescholek. “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen.” Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion 3, no. 1 (2020): 18–33. https://doi.org/10.4119/hlz-2540.' ieee: 'C. Caruso, C. Adammek, S. Bonanati, and S. Wiescholek, “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen,” Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, vol. 3, no. 1, pp. 18–33, 2020, doi: 10.4119/hlz-2540.' mla: Caruso, Carina, et al. “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen.” Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, vol. 3, no. 1, 2020, pp. 18–33, doi:10.4119/hlz-2540. short: C. Caruso, C. Adammek, S. Bonanati, S. Wiescholek, Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion 3 (2020) 18–33. date_created: 2023-01-05T13:58:28Z date_updated: 2023-01-06T12:18:16Z doi: 10.4119/hlz-2540 intvolume: ' 3' issue: '1' keyword: - ästhetische Forschung - Biographiearbeit - Praxissemester - Professionalisierung - selbstreguliertes Lernen - Motivation / aesthetic research - biographical work - long-term internship - profes-sionalization - self-regulated learning - motivation language: - iso: other page: 18-33 publication: Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion publication_identifier: issn: - 2625-0675 publication_status: published status: public title: Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen type: journal_article user_id: '86519' volume: 3 year: '2020' ... --- _id: '33299' abstract: - lang: eng text: "The aim of this study was to find out whether teaching how to search for literature\r\nwould be more beneficial to students and teachers if done online through short videos\r\nrather than in person during course time. To find out whether online videos are more\r\nbeneficial, two courses were asked to fill in questionnaires, one at the beginning and\r\none at the end of the semester. One of the courses received the input online via videos\r\nand were given an exercise to put the newly learned skills to use, the other course\r\nserved as a control group and learned how to search for literature during the course.\r\nThe results show that while the difference between the two groups is not significant,\r\nthe videos can still be regarded as being more beneficial than teaching the necessary\r\nskills during course time." author: - first_name: Charlotte Anna full_name: Hahn, Charlotte Anna id: '25934' last_name: Hahn citation: ama: Hahn CA. Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen. die hochschullehre. 2020;(6). apa: Hahn, C. A. (2020). Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen. die hochschullehre, 6. bibtex: '@article{Hahn_2020, title={Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen}, number={6}, journal={die hochschullehre}, author={Hahn, Charlotte Anna}, year={2020} }' chicago: Hahn, Charlotte Anna. “Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen.” die hochschullehre, no. 6 (2020). ieee: C. A. Hahn, “Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen,” die hochschullehre, no. 6, 2020. mla: Hahn, Charlotte Anna. “Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen.” die hochschullehre, no. 6, 2020. short: C.A. Hahn, die hochschullehre (2020). date_created: 2022-09-08T09:05:30Z date_updated: 2023-10-13T10:17:31Z ddc: - '020' department: - _id: '1' - _id: '384' file: - access_level: open_access content_type: application/pdf creator: chogg date_created: 2022-09-08T09:05:22Z date_updated: 2022-09-08T09:05:22Z file_id: '33300' file_name: HSL2012W.pdf file_size: 318104 relation: main_file file_date_updated: 2022-09-08T09:05:22Z has_accepted_license: '1' issue: '6' keyword: - E-Learning - information competence - literature - library - research language: - iso: ger main_file_link: - open_access: '1' url: http://www.hochschullehre.org/wp-content/files/diehochschullehre_2020_Hahn_Informationskompetenz.pdf oa: '1' publication: die hochschullehre publication_identifier: eissn: - ISSN 2199-8825 publication_status: published status: public title: Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen type: journal_article user_id: '14931' year: '2020' ... --- _id: '48897' abstract: - lang: eng text: 'In this work we focus on the well-known Euclidean Traveling Salesperson Problem (TSP) and two highly competitive inexact heuristic TSP solvers, EAX and LKH, in the context of per-instance algorithm selection (AS). We evolve instances with nodes where the solvers show strongly different performance profiles. These instances serve as a basis for an exploratory study on the identification of well-discriminating problem characteristics (features). Our results in a nutshell: we show that even though (1) promising features exist, (2) these are in line with previous results from the literature, and (3) models trained with these features are more accurate than models adopting sophisticated feature selection methods, the advantage is not close to the virtual best solver in terms of penalized average runtime and so is the performance gain over the single best solver. However, we show that a feature-free deep neural network based approach solely based on visual representation of the instances already matches classical AS model results and thus shows huge potential for future studies.' author: - first_name: Moritz full_name: Seiler, Moritz last_name: Seiler - first_name: Janina full_name: Pohl, Janina 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: 'Seiler M, Pohl J, Bossek J, Kerschke P, Trautmann H. Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In: Parallel Problem Solving from {Nature} (PPSN XVI). Springer-Verlag; 2020:48–64. doi:10.1007/978-3-030-58112-1_4' apa: Seiler, M., Pohl, J., Bossek, J., Kerschke, P., & Trautmann, H. (2020). Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. Parallel Problem Solving from {Nature} (PPSN XVI), 48–64. https://doi.org/10.1007/978-3-030-58112-1_4 bibtex: '@inproceedings{Seiler_Pohl_Bossek_Kerschke_Trautmann_2020, place={Berlin, Heidelberg}, title={Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem}, DOI={10.1007/978-3-030-58112-1_4}, booktitle={Parallel Problem Solving from {Nature} (PPSN XVI)}, publisher={Springer-Verlag}, author={Seiler, Moritz and Pohl, Janina and Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike}, year={2020}, pages={48–64} }' chicago: 'Seiler, Moritz, Janina Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” In Parallel Problem Solving from {Nature} (PPSN XVI), 48–64. Berlin, Heidelberg: Springer-Verlag, 2020. https://doi.org/10.1007/978-3-030-58112-1_4.' ieee: 'M. Seiler, J. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem,” in Parallel Problem Solving from {Nature} (PPSN XVI), 2020, pp. 48–64, doi: 10.1007/978-3-030-58112-1_4.' mla: Seiler, Moritz, et al. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” Parallel Problem Solving from {Nature} (PPSN XVI), Springer-Verlag, 2020, pp. 48–64, doi:10.1007/978-3-030-58112-1_4. short: 'M. Seiler, J. Pohl, J. Bossek, P. Kerschke, H. Trautmann, in: Parallel Problem Solving from {Nature} (PPSN XVI), Springer-Verlag, Berlin, Heidelberg, 2020, pp. 48–64.' date_created: 2023-11-14T15:59:00Z date_updated: 2023-12-13T10:49:45Z department: - _id: '819' doi: 10.1007/978-3-030-58112-1_4 extern: '1' keyword: - Automated algorithm selection - Deep learning - Feature-based approaches - Traveling Salesperson Problem language: - iso: eng page: 48–64 place: Berlin, Heidelberg publication: Parallel Problem Solving from {Nature} (PPSN XVI) publication_identifier: isbn: - 978-3-030-58111-4 publisher: Springer-Verlag status: public title: Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem type: conference user_id: '102979' year: '2020' ... --- _id: '19976' abstract: - lang: eng text: The aim to reduce pollutant emission has led to a trend towards lightweight construction in car body development during the last years. As a consequence of the resulting need for multi-material design, mechanical joining technologies become increasingly important. Mechanical joining allows for the combination of dissimilar materials, while thermic joining techniques reach their limits. Self-piercing riveting enables the joining of dissimilar materials by using semi-tubular rivets as mechanical fasteners. The rivet production, however, is costly and time-consuming, as the rivets generally have to be hardened, tempered and coated after forming, in order to achieve an adequate strength and corrosion resistance. A promising approach to improve the efficiency of the rivet manufacturing is the use of high-strength high nitrogen steel as rivet material because these additional process steps would not be necessary anymore. As a result of the comparatively high nitrogen content, such steels have various beneficial properties like higher strength, good ductility and improved corrosion resistance. By cold bulk forming of high nitrogen steels high-strength parts can be manufactured due to the strengthening which is caused by the high strain hardening. However, high tool loads thereby have to be expected and are a major challenge during the production process. Consequently, there is a need for appropriate forming strategies. This paper presents key aspects concerning the process design for the manufacturing of semi-tubular self-piercing rivets made of high-strength steel. The aim is to produce the rivets in several forming stages without intermediate heat treatment between the single stages. Due to the high strain hardening of the material, a two stage forming concept will be investigated. Cup-backward extrusion is chosen as the first process step in order to form the rivet shank without forming the rivet foot. Thus, the strain hardening effects in the area of the rivet foot are minimized and the tool loads during the following process step can be reduced. During the second and final forming stage the detailed geometry of the rivet foot and the rivet head is formed. In this context, the effect of different variations, for example concerning the final geometry of the rivet foot, on the tool load is investigated using multistage numerical analysis. Furthermore, the influence of the process temperature on occurring stresses is analysed. Based on the results of the investigations, an adequate forming strategy and a tool concept for the manufacturing of semi-tubular self-piercing rivets made of high-strength steel are presented. citation: ama: Kuball C-M, Uhe B, Meschut G, Merklein M, eds. Process Design for the Forming of Semi-Tubular Self-Piercing Rivets Made of High Nitrogen Steel. Vol 50.; 2020:280-285. doi:10.1016/j.promfg.2020.08.052 apa: Kuball, C.-M., Uhe, B., Meschut, G., & Merklein, M. (Eds.). (2020). Process design for the forming of semi-tubular self-piercing rivets made of high nitrogen steel (Vol. 50, pp. 280–285). https://doi.org/10.1016/j.promfg.2020.08.052 bibtex: '@book{Kuball_Uhe_Meschut_Merklein_2020, series={Procedia Manufacturing}, title={Process design for the forming of semi-tubular self-piercing rivets made of high nitrogen steel}, volume={50}, DOI={10.1016/j.promfg.2020.08.052}, year={2020}, pages={280–285}, collection={Procedia Manufacturing} }' chicago: Kuball, Clara-Maria, Benedikt Uhe, Gerson Meschut, and Marion Merklein, eds. Process Design for the Forming of Semi-Tubular Self-Piercing Rivets Made of High Nitrogen Steel. Vol. 50. Procedia Manufacturing, 2020. https://doi.org/10.1016/j.promfg.2020.08.052. ieee: C.-M. Kuball, B. Uhe, G. Meschut, and M. Merklein, Eds., Process design for the forming of semi-tubular self-piercing rivets made of high nitrogen steel, vol. 50. 2020, pp. 280–285. mla: Kuball, Clara-Maria, et al., editors. Process Design for the Forming of Semi-Tubular Self-Piercing Rivets Made of High Nitrogen Steel. 2020, pp. 280–85, doi:10.1016/j.promfg.2020.08.052. short: C.-M. Kuball, B. Uhe, G. Meschut, M. Merklein, eds., Process Design for the Forming of Semi-Tubular Self-Piercing Rivets Made of High Nitrogen Steel, 2020. date_created: 2020-10-12T08:30:08Z date_updated: 2026-02-27T10:43:48Z department: - _id: '157' doi: 10.1016/j.promfg.2020.08.052 editor: - first_name: Clara-Maria full_name: Kuball, Clara-Maria last_name: Kuball - first_name: Benedikt full_name: Uhe, Benedikt id: '38131' last_name: Uhe - first_name: Gerson full_name: Meschut, Gerson id: '32056' last_name: Meschut orcid: 0000-0002-2763-1246 - first_name: Marion full_name: Merklein, Marion last_name: Merklein intvolume: ' 50' keyword: - high nitrogen steel - self-piercing riveting - joining by forming - bulk forming - tool design language: - iso: eng page: 280-285 publication_status: published quality_controlled: '1' series_title: Procedia Manufacturing status: public title: Process design for the forming of semi-tubular self-piercing rivets made of high nitrogen steel type: conference_editor user_id: '53912' volume: 50 year: '2020' ... --- _id: '19973' abstract: - lang: eng text: As a result of lightweight design, increased use is being made of high-strength steel and aluminium in car bodies. Self-piercing riveting is an established technique for joining these materials. The dissimilar properties of the two materials have led to a number of different rivet geometries in the past. Each rivet geometry fulfils the requirements of the materials within a limited range. In the present investigation, an improved rivet geometry is developed, which permits the reliable joining of two material combinations that could only be joined by two different rivet geometries up until now. Material combination 1 consists of high-strength steel on both sides, while material combination 2 comprises aluminium on the punch side and high-strength steel on the die side. The material flow and the stress and strain conditions prevailing during the joining process are analysed by means of numerical simulation. The rivet geometry is then improved step-by-step on the basis of this analysis. Finally, the improved rivet geometry is manufactured and the findings of the investigation are verified in experimental joining tests. article_type: original author: - first_name: Benedikt full_name: Uhe, Benedikt id: '38131' last_name: Uhe - first_name: Clara-Maria full_name: Kuball, Clara-Maria last_name: Kuball - first_name: Marion full_name: Merklein, Marion last_name: Merklein - first_name: Gerson full_name: Meschut, Gerson id: '32056' last_name: Meschut orcid: 0000-0002-2763-1246 citation: ama: Uhe B, Kuball C-M, Merklein M, Meschut G. Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints. Production Engineering. 2020;14:417-423. doi:10.1007/s11740-020-00973-w apa: Uhe, B., Kuball, C.-M., Merklein, M., & Meschut, G. (2020). Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints. Production Engineering, 14, 417–423. https://doi.org/10.1007/s11740-020-00973-w bibtex: '@article{Uhe_Kuball_Merklein_Meschut_2020, title={Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints}, volume={14}, DOI={10.1007/s11740-020-00973-w}, journal={Production Engineering}, author={Uhe, Benedikt and Kuball, Clara-Maria and Merklein, Marion and Meschut, Gerson}, year={2020}, pages={417–423} }' chicago: 'Uhe, Benedikt, Clara-Maria Kuball, Marion Merklein, and Gerson Meschut. “Improvement of a Rivet Geometry for the Self-Piercing Riveting of High-Strength Steel and Multi-Material Joints.” Production Engineering 14 (2020): 417–23. https://doi.org/10.1007/s11740-020-00973-w.' ieee: 'B. Uhe, C.-M. Kuball, M. Merklein, and G. Meschut, “Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints,” Production Engineering, vol. 14, pp. 417–423, 2020, doi: 10.1007/s11740-020-00973-w.' mla: Uhe, Benedikt, et al. “Improvement of a Rivet Geometry for the Self-Piercing Riveting of High-Strength Steel and Multi-Material Joints.” Production Engineering, vol. 14, 2020, pp. 417–23, doi:10.1007/s11740-020-00973-w. short: B. Uhe, C.-M. Kuball, M. Merklein, G. Meschut, Production Engineering 14 (2020) 417–423. date_created: 2020-10-12T08:14:13Z date_updated: 2026-02-27T10:41:55Z department: - _id: '157' doi: 10.1007/s11740-020-00973-w intvolume: ' 14' keyword: - Self-piercing riveting - Joining technology - Rivet geometry - Multi-material design - High-strength steel - Aluminium language: - iso: eng page: 417-423 publication: Production Engineering publication_status: published quality_controlled: '1' status: public title: Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints type: journal_article user_id: '53912' volume: 14 year: '2020' ... --- _id: '19974' abstract: - lang: eng text: Due to the trend towards lightweight design in car body development mechanical joining technologies become increasingly important. These techniques allow for the joining of dissimilar materials and thus enable multi-material design, while thermic joining methods reach their limits. Semi-tubular self-piercing riveting is an important mechanical joining technology. The rivet production, however, is costly and time-consuming, as the process consists of several process steps including the heat treatment and coating of the rivets in order to achieve an adequate strength and corrosion resistance. The use of high nitrogen steel as rivet material leads to the possibility of reducing process steps and hence increasing the efficiency of the process. However, the high tool loads being expected due to the high strain hardening of the material are a major challenge during the rivet production. Thus, there is a need for appropriate forming strategies, such as the manufacturing of the rivets at elevated temperatures. Prior investigations led to the conclusion that forming already at 200 °C results in a distinct reduction of the yield strength. To create a deeper understanding of the forming behaviour of high nitrogen steel at elevated temperatures, compression tests were conducted in a temperature range between room temperature and 200 °C. The determined true stress – true strain curves are the basis for the further process and tool design of the rivet production. Another key factor for the rivet manufacturing at elevated temperatures is the influence of the process temperature on the tribological conditions. For this reason, ring compression tests at room temperature and 200 °C are carried out. The friction factors are determined on the basis of calibration curves resulting from the numerical analysis of the ring compression process. The investigations indicate that the friction factor at 200 °C is significantly higher compared to room temperature. This essential fact has to be taken into account for the process and tool design for the rivet production using high nitrogen steel. article_number: '100023' citation: ama: Kuball C-M, Jung R, Uhe B, Meschut G, Merklein M, eds. Influence of the Process Temperature on the Forming Behaviour and the Friction during Bulk Forming of High Nitrogen Steel. Vol 1.; 2020. doi:10.1016/j.jajp.2020.100023 apa: Kuball, C.-M., Jung, R., Uhe, B., Meschut, G., & Merklein, M. (Eds.). (2020). Influence of the process temperature on the forming behaviour and the friction during bulk forming of high nitrogen steel (No. 100023; Vol. 1). https://doi.org/10.1016/j.jajp.2020.100023 bibtex: '@book{Kuball_Jung_Uhe_Meschut_Merklein_2020, series={Journal of Advanced Joining Processes}, title={Influence of the process temperature on the forming behaviour and the friction during bulk forming of high nitrogen steel}, volume={1}, DOI={10.1016/j.jajp.2020.100023}, number={100023}, year={2020}, collection={Journal of Advanced Joining Processes} }' chicago: Kuball, Clara-Maria, R Jung, Benedikt Uhe, Gerson Meschut, and Marion Merklein, eds. Influence of the Process Temperature on the Forming Behaviour and the Friction during Bulk Forming of High Nitrogen Steel. Vol. 1. Journal of Advanced Joining Processes, 2020. https://doi.org/10.1016/j.jajp.2020.100023. ieee: C.-M. Kuball, R. Jung, B. Uhe, G. Meschut, and M. Merklein, Eds., Influence of the process temperature on the forming behaviour and the friction during bulk forming of high nitrogen steel, vol. 1. 2020. mla: Kuball, Clara-Maria, et al., editors. Influence of the Process Temperature on the Forming Behaviour and the Friction during Bulk Forming of High Nitrogen Steel. 100023, 2020, doi:10.1016/j.jajp.2020.100023. short: C.-M. Kuball, R. Jung, B. Uhe, G. Meschut, M. Merklein, eds., Influence of the Process Temperature on the Forming Behaviour and the Friction during Bulk Forming of High Nitrogen Steel, 2020. date_created: 2020-10-12T08:23:27Z date_updated: 2026-02-27T10:45:08Z department: - _id: '157' doi: 10.1016/j.jajp.2020.100023 editor: - first_name: Clara-Maria full_name: Kuball, Clara-Maria last_name: Kuball - first_name: R full_name: Jung, R last_name: Jung - first_name: Benedikt full_name: Uhe, Benedikt id: '38131' last_name: Uhe - first_name: Gerson full_name: Meschut, Gerson id: '32056' last_name: Meschut orcid: 0000-0002-2763-1246 - first_name: Marion full_name: Merklein, Marion last_name: Merklein intvolume: ' 1' keyword: - High nitrogen steel - Self-piercing riveting - Joining by forming - Bulk forming - Strain hardening language: - iso: eng publication_status: published quality_controlled: '1' series_title: Journal of Advanced Joining Processes status: public title: Influence of the process temperature on the forming behaviour and the friction during bulk forming of high nitrogen steel type: conference_editor user_id: '53912' volume: 1 year: '2020' ... --- _id: '9853' abstract: - lang: eng text: Business model innovation is typically taught in small seminars at universities. Teaching this intrinsically task-oriented subject to a large number of students is a challenge. In this paper we address this challenge by proposing an experiential and interactive approach to teaching business models in a large classroom setting. accept: '1' author: - first_name: Daniel full_name: Szopinski, Daniel id: '36372' last_name: Szopinski citation: ama: 'Szopinski D. Squaring the circle: Business model teaching in large classroom settings. Journal of Business Models. 2019;7(3):90-100.' apa: 'Szopinski, D. (2019). Squaring the circle: Business model teaching in large classroom settings. Journal of Business Models, 7(3), 90–100.' bibtex: '@article{Szopinski_2019, title={Squaring the circle: Business model teaching in large classroom settings}, volume={7}, number={3}, journal={Journal of Business Models}, author={Szopinski, Daniel}, year={2019}, pages={90–100} }' chicago: 'Szopinski, Daniel. “Squaring the Circle: Business Model Teaching in Large Classroom Settings.” Journal of Business Models 7, no. 3 (2019): 90–100.' ieee: 'D. Szopinski, “Squaring the circle: Business model teaching in large classroom settings,” Journal of Business Models, vol. 7, no. 3, pp. 90–100, 2019.' mla: 'Szopinski, Daniel. “Squaring the Circle: Business Model Teaching in Large Classroom Settings.” Journal of Business Models, vol. 7, no. 3, 2019, pp. 90–100.' short: D. Szopinski, Journal of Business Models 7 (2019) 90–100. date_created: 2019-05-20T10:17:54Z date_updated: 2019-10-28T10:29:25Z ddc: - '000' department: - _id: '276' file: - access_level: closed content_type: application/pdf creator: dsz date_created: 2019-10-17T06:51:18Z date_updated: 2019-10-17T06:51:18Z file_id: '13898' file_name: JoBM_SE_Teaching_2018_Squaring the circle_RevisedManuscript.pdf file_size: 1068694 relation: main_file success: 1 file_date_updated: 2019-10-17T06:51:18Z intvolume: ' 7' issue: '3' keyword: - Business model teaching - peer assessment - experiential learning language: - iso: eng page: 90-100 project: - _id: '1' name: SFB 901 - _id: '4' name: SFB 901 - Project Area C - _id: '17' name: SFB 901 - Subproject C5 publication: Journal of Business Models publication_status: epub_ahead status: public title: 'Squaring the circle: Business model teaching in large classroom settings' type: journal_article user_id: '16205' volume: 7 year: '2019' ... --- _id: '13107' abstract: - lang: eng text: In this paper, we first outline a Hypothetical Learning Trajectory (HLT), which aims at a formal understanding of the rules for manipulating integers. The HLT is based on task formats, which promote algebraic thinking in terms of generalizing rules from the analysis of patterns and should be familiar to students from their mathematics education experiences in elementary school. Second, we analyze two students' actual learning process based on Peircean semiotics. The analysis shows that the actual learning process diverges from the hypothesized learning process in that the students do not relate the different levels of the diagrams in a way that allows them to extrapolate the rule for the subtraction of negative numbers. Based on this finding, we point out consequences for the design of the tasks. author: - first_name: Jan full_name: Schumacher, Jan id: '26809' last_name: Schumacher orcid: 0000-0002-6676-9774 - first_name: Sebastian full_name: Rezat, Sebastian last_name: Rezat citation: ama: 'Schumacher J, Rezat S. A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers. In: Jankvist UT, Van den Heuvel-Panhuizen M, Veldhuis M, eds. Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019). Utrecht, the Netherlands: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME.' apa: 'Schumacher, J., & Rezat, S. (n.d.). A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers. In U. T. Jankvist, M. Van den Heuvel-Panhuizen, & M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019). Utrecht, the Netherlands: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME.' bibtex: '@inproceedings{Schumacher_Rezat, place={Utrecht, the Netherlands}, title={A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers}, booktitle={Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019)}, publisher={Freudenthal Group & Freudenthal Institute, Utrecht University and ERME}, author={Schumacher, Jan and Rezat, Sebastian}, editor={Jankvist, Uffe Thomas and Van den Heuvel-Panhuizen, Marja and Veldhuis, MichielEditors} }' chicago: 'Schumacher, Jan, and Sebastian Rezat. “A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers.” In Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019), edited by Uffe Thomas Jankvist, Marja Van den Heuvel-Panhuizen, and Michiel Veldhuis. Utrecht, the Netherlands: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME, n.d.' ieee: J. Schumacher and S. Rezat, “A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers,” in Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019), Utrecht. mla: Schumacher, Jan, and Sebastian Rezat. “A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers.” Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019), edited by Uffe Thomas Jankvist et al., Freudenthal Group & Freudenthal Institute, Utrecht University and ERME. short: 'J. Schumacher, S. Rezat, in: U.T. Jankvist, M. Van den Heuvel-Panhuizen, M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019), Freudenthal Group & Freudenthal Institute, Utrecht University and ERME, Utrecht, the Netherlands, n.d.' conference: end_date: 2019-02-10 location: Utrecht name: CERME 11 start_date: 2019-02-06 date_created: 2019-08-30T12:00:50Z date_updated: 2022-01-06T06:51:28Z department: - _id: '360' - _id: '98' editor: - first_name: Uffe Thomas full_name: Jankvist, Uffe Thomas last_name: Jankvist - first_name: Marja full_name: Van den Heuvel-Panhuizen, Marja last_name: Van den Heuvel-Panhuizen - first_name: Michiel full_name: Veldhuis, Michiel last_name: Veldhuis keyword: - diagrammatic reasoning - hypothetical learning trajectory - induction extrapolatory method - integers - negative numbers - permanence principle - semiotics language: - iso: eng place: Utrecht, the Netherlands publication: Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019) publication_status: accepted publisher: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME quality_controlled: '1' status: public title: A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers type: conference user_id: '26809' year: '2019' ... --- _id: '13443' abstract: - lang: eng text: "This work considers the problem of control and resource allocation in networked\r\nsystems. To this end, we present DIRA a Deep reinforcement learning based Iterative Resource\r\nAllocation algorithm, which is scalable and control-aware. Our algorithm is tailored towards\r\nlarge-scale problems where control and scheduling need to act jointly to optimize performance.\r\nDIRA can be used to schedule general time-domain optimization based controllers. In the present\r\nwork, we focus on control designs based on suitably adapted linear quadratic regulators. We\r\napply our algorithm to networked systems with correlated fading communication channels. Our\r\nsimulations show that DIRA scales well to large scheduling problems." author: - first_name: Adrian full_name: Redder, Adrian id: '52265' last_name: Redder orcid: https://orcid.org/0000-0001-7391-4688 - first_name: Arunselvan full_name: Ramaswamy, Arunselvan id: '66937' last_name: Ramaswamy orcid: https://orcid.org/ 0000-0001-7547-8111 - first_name: Daniel full_name: Quevedo, Daniel last_name: Quevedo citation: ama: 'Redder A, Ramaswamy A, Quevedo D. Deep reinforcement learning for scheduling in large-scale networked control systems. In: Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems. ; 2019.' apa: Redder, A., Ramaswamy, A., & Quevedo, D. (2019). Deep reinforcement learning for scheduling in large-scale networked control systems. In Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems. Chicago, USA. bibtex: '@inproceedings{Redder_Ramaswamy_Quevedo_2019, title={Deep reinforcement learning for scheduling in large-scale networked control systems}, booktitle={Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems}, author={Redder, Adrian and Ramaswamy, Arunselvan and Quevedo, Daniel}, year={2019} }' chicago: Redder, Adrian, Arunselvan Ramaswamy, and Daniel Quevedo. “Deep Reinforcement Learning for Scheduling in Large-Scale Networked Control Systems.” In Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019. ieee: A. Redder, A. Ramaswamy, and D. Quevedo, “Deep reinforcement learning for scheduling in large-scale networked control systems,” in Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, Chicago, USA, 2019. mla: Redder, Adrian, et al. “Deep Reinforcement Learning for Scheduling in Large-Scale Networked Control Systems.” Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019. short: 'A. Redder, A. Ramaswamy, D. Quevedo, in: Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019.' conference: end_date: 2019-09-17 location: Chicago, USA name: 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems - NECSYS 2019 start_date: 2019-09-16 date_created: 2019-09-23T16:00:58Z date_updated: 2022-01-06T06:51:36Z ddc: - '620' file: - access_level: local content_type: application/pdf creator: aredder date_created: 2019-09-23T15:48:33Z date_updated: 2019-09-23T16:21:16Z file_id: '13444' file_name: ifacconf.pdf file_size: 371429 relation: main_file file_date_updated: 2019-09-23T16:21:16Z has_accepted_license: '1' keyword: - Networked control systems - deep reinforcement learning - large-scale systems - resource scheduling - stochastic control language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1905.05992 oa: '1' project: - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing publication: Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems publication_status: published status: public title: Deep reinforcement learning for scheduling in large-scale networked control systems type: conference user_id: '52265' year: '2019' ...