@misc{WeberTiefenbacherGronau2019,
  author    = {Weber, Edzard and Tiefenbacher, Anselm and Gronau, Norbert},
  title     = {Need for standardization and systematization of test data for job-shop scheduling},
  series = {Postprints der Universit{\"a}t Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe},
  number    = {134},
  issn      = {1867-5808},
  doi       = {10.25932/publishup-47222},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-472229},
  pages     = {23},
  year      = {2019},
  abstract  = {The development of new and better optimization and approximation methods for Job Shop Scheduling Problems (JSP) uses simulations to compare their performance. The test data required for this has an uncertain influence on the simulation results, because the feasable search space can be changed drastically by small variations of the initial problem model. Methods could benefit from this to varying degrees. This speaks in favor of defining standardized and reusable test data for JSP problem classes, which in turn requires a systematic describability of the test data in order to be able to compile problem adequate data sets. This article looks at the test data used for comparing methods by literature review. It also shows how and why the differences in test data have to be taken into account. From this, corresponding challenges are derived which the management of test data must face in the context of JSP research. Keywords},
  language  = {en}
}
@article{WeberTiefenbacherGronau2019,
  author    = {Weber, Edzard and Tiefenbacher, Anselm and Gronau, Norbert},
  title     = {Need for Standardization and Systematization of Test Data for Job-Shop Scheduling},
  series = {Data},
  volume    = {4},
  journal   = {Data},
  number    = {1},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2306-5729},
  doi       = {10.3390/data4010032},
  pages     = {21},
  year      = {2019},
  abstract  = {The development of new and better optimization and approximation methods for Job Shop Scheduling Problems (JSP) uses simulations to compare their performance. The test data required for this has an uncertain influence on the simulation results, because the feasable search space can be changed drastically by small variations of the initial problem model. Methods could benefit from this to varying degrees. This speaks in favor of defining standardized and reusable test data for JSP problem classes, which in turn requires a systematic describability of the test data in order to be able to compile problem adequate data sets. This article looks at the test data used for comparing methods by literature review. It also shows how and why the differences in test data have to be taken into account. From this, corresponding challenges are derived which the management of test data must face in the context of JSP research.},
  language  = {en}
}
@article{WeberSteinGronau2009,
  author    = {Weber, Edzard and Stein, Maureen and Gronau, Norbert},
  title     = {Demokratieorientierte eGovernment-Systeme},
  isbn      = {978-3-89864- 590-4},
  year      = {2009},
  language  = {de}
}
@article{WeberSteinGronau2009,
  author    = {Weber, Edzard and Stein, Maureen and Gronau, Norbert},
  title     = {Demokratieorientierte eGovernment-Systeme},
  issn      = {1436 - 3011},
  year      = {2009},
  language  = {de}
}
@article{VladovaWotschackLareiroetal.2020,
  author    = {Vladova, Gergana and Wotschack, Philip and Lareiro, Patricia de Paiva and Gronau, Norbert and Thim, Christof},
  title     = {Lernen mit Assistenzsystemen},
  series = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse},
  volume    = {36},
  journal   = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse},
  number    = {3},
  publisher = {GITO mbH Verlag},
  address   = {Berlin},
  issn      = {2364-9208},
  doi       = {10.30844/I40M_20-3_S16-20},
  pages     = {16 -- 20},
  year      = {2020},
  abstract  = {Der Beitrag beschreibt die Konzeption und Durchf{\"u}hrung und bietet einen Einblick in die ersten Ergebnisse einer Untersuchung mit experimentellem Design in einer simulierten Prozessumgebung im Forschungs- und Anwendungszentrum Industrie 4.0 in Potsdam. Im Mittelpunkt stehen Anlernprozesse im Bereich der Einfacharbeit (Helfert{\"a}tigkeiten) und ihre Gestaltung durch den Einsatz digitaler Assistenzsysteme. In der Arbeitsforschung finden sich Hinweise darauf, dass mit dem Einsatz dieser Systeme Prozesswissen verloren geht, im Sinne einer guten Kenntnis des gesamten Arbeitsprozesses, in den die einzelnen T{\"a}tigkeiten eingebettet sind. Das kann sich als Problem erweisen, vor allem wenn unvorhersehbare Situationen oder Fehler eintreten. Um die Rolle von Prozesswissen beim Einsatz von digitalen Assistenzsystemen zu untersuchen, wird im Experiment eine echte Fabriksituation simuliert. Die Probanden werden {\"u}ber ein Assistenzsystem Schritt f{\"u}r Schritt in ihre Aufgabent{\"a}tigkeit angelernt, einem Teil der Probanden wird allerdings am Anfang zus{\"a}tzlich Prozesswissen im Rahmen einer kurzen Schulung vermittelt.},
  language  = {de}
}
@incollection{VladovaUllrichBenderetal.2021,
  author    = {Vladova, Gergana and Ullrich, Andr{\´e} and Bender, Benedict and Gronau, Norbert},
  title     = {Yes, we can (?)},
  series = {Technology and innovation in learning, teaching and education : second international conference, TECH-EDU 2020, Vila Real, Portugal, December 2-4, 2020 : proceedings},
  booktitle = {Technology and innovation in learning, teaching and education : second international conference, TECH-EDU 2020, Vila Real, Portugal, December 2-4, 2020 : proceedings},
  editor    = {Reis, Ars{\´e}nio and Barroso, Jo{\~a}o and Lopes, J. Bernardino and Mikropoulos, Tassos and Fan, Chih-Wen},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-73987-4},
  doi       = {10.1007/978-3-030-73988-1_17},
  pages     = {225 -- 235},
  year      = {2021},
  abstract  = {The COVID-19 crisis has caused an extreme situation for higher education institutions around the world, where exclusively virtual teaching and learning has become obligatory rather than an additional supporting feature. This has created opportunities to explore the potential and limitations of virtual learning formats. This paper presents four theses on virtual classroom teaching and learning that are discussed critically. We use existing theoretical insights extended by empirical evidence from a survey of more than 850 students on acceptance, expectations, and attitudes regarding the positive and negative aspects of virtual teaching. The survey responses were gathered from students at different universities during the first completely digital semester (Spring-Summer 2020) in Germany. We discuss similarities and differences between the subjects being studied and highlight the advantages and disadvantages of virtual teaching and learning. Against the background of existing theory and the gathered data, we emphasize the importance of social interaction, the combination of different learning formats, and thus context-sensitive hybrid learning as the learning form of the future.},
  language  = {en}
}
@misc{VladovaUllrichBenderetal.2021,
  author    = {Vladova, Gergana and Ullrich, Andr{\´e} and Bender, Benedict and Gronau, Norbert},
  title     = {Students' Acceptance of Technology-Mediated Teaching - How It Was Influenced During the COVID-19 Pandemic in 2020: A Study From Germany},
  series = {Postprints der Universit{\"a}t Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe},
  issn      = {1867-5808},
  doi       = {10.25932/publishup-52161},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-521615},
  pages     = {17},
  year      = {2021},
  abstract  = {In response to the impending spread of COVID-19, universities worldwide abruptly stopped face-to-face teaching and switched to technology-mediated teaching. As a result, the use of technology in the learning processes of students of different disciplines became essential and the only way to teach, communicate and collaborate for months. In this crisis context, we conducted a longitudinal study in four German universities, in which we collected a total of 875 responses from students of information systems and music and arts at four points in time during the spring-summer 2020 semester. Our study focused on (1) the students' acceptance of technology-mediated learning, (2) any change in this acceptance during the semester and (3) the differences in acceptance between the two disciplines. We applied the Technology Acceptance Model and were able to validate it for the extreme situation of the COVID-19 pandemic. We extended the model with three new variables (time flexibility, learning flexibility and social isolation) that influenced the construct of perceived usefulness. Furthermore, we detected differences between the disciplines and over time. In this paper, we present and discuss our study's results and derive short- and long-term implications for science and practice.},
  language  = {en}
}
@article{VladovaUllrichBenderetal.2021,
  author    = {Vladova, Gergana and Ullrich, Andr{\´e} and Bender, Benedict and Gronau, Norbert},
  title     = {Students' acceptance of technology-mediated teaching - How it was influenced during the COVID-19 Pandemic in 2020},
  series = {Frontiers in psychology / Frontiers Research Foundation},
  volume    = {12},
  journal   = {Frontiers in psychology / Frontiers Research Foundation},
  publisher = {Frontiers Research Foundation},
  address   = {Lausanne},
  issn      = {1664-1078},
  doi       = {10.3389/fpsyg.2021.636086},
  pages     = {15},
  year      = {2021},
  abstract  = {In response to the impending spread of COVID-19, universities worldwide abruptly stopped face-to-face teaching and switched to technology-mediated teaching. As a result, the use of technology in the learning processes of students of different disciplines became essential and the only way to teach, communicate and collaborate for months. In this crisis context, we conducted a longitudinal study in four German universities, in which we collected a total of 875 responses from students of information systems and music and arts at four points in time during the spring-summer 2020 semester. Our study focused on (1) the students' acceptance of technology-mediated learning, (2) any change in this acceptance during the semester and (3) the differences in acceptance between the two disciplines. We applied the Technology Acceptance Model and were able to validate it for the extreme situation of the COVID-19 pandemic. We extended the model with three new variables (time flexibility, learning flexibility and social isolation) that influenced the construct of perceived usefulness. Furthermore, we detected differences between the disciplines and over time. In this paper, we present and discuss our study's results and derive short- and long-term implications for science and practice.},
  language  = {en}
}
@incollection{VladovaGronauRuedian2019,
  author    = {Vladova, Gergana and Gronau, Norbert and R{\"u}dian, Sylvio Leo},
  title     = {Wissenstransfer in Bildung und Weiterbildung},
  series = {Digitale Transformation - gutes Arbeiten und Qualifizierung aktiv gestalten},
  booktitle = {Digitale Transformation - gutes Arbeiten und Qualifizierung aktiv gestalten},
  publisher = {Gito},
  address   = {Berlin},
  isbn      = {978-3-95545-309-1},
  pages     = {89 -- 106},
  year      = {2019},
  language  = {de}
}
@article{VladovaGronau2022,
  author    = {Vladova, Gergana and Gronau, Norbert},
  title     = {KI-basierte Assistenzsysteme in betrieblichen Lernprozessen},
  series = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse},
  volume    = {38},
  journal   = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse},
  number    = {2},
  publisher = {GITO mbH Verlag f{\"u}r Industrielle Informationstechnik und Organisation},
  address   = {Berlin},
  issn      = {2364-9216},
  doi       = {10.30844/I40M_22-2_11-14},
  pages     = {11 -- 14},
  year      = {2022},
  abstract  = {Assistenzsysteme finden im Kontext der digitalen Transformation immer mehr Einsatz. Sie k{\"o}nnen Besch{\"a}ftigte in industriellen Produktionsprozessen sowohl in der Anlern- als auch in der aktiven Arbeitsphase unterst{\"u}tzen. Kompetenzen k{\"o}nnen so arbeitsplatz- und prozessnah sowie bedarfsorientiert aufgebaut werden. In diesem Beitrag wird der aktuelle Forschungsstand zu den Einsatzm{\"o}glichkeiten dieser Assistenzsysteme diskutiert und mit Beispielen illustriert. Es werden unter anderem auch Herausforderungen f{\"u}r den Einsatz aufgezeigt. Am Ende des Beitrags werden Potenziale f{\"u}r die zuk{\"u}nftige Nutzung von AS in industriellen Lernprozessen und f{\"u}r die Forschung identifiziert.},
  language  = {de}
}