@article{GrumSultanowFriedmannetal.2021,
  author    = {Grum, Marcus and Sultanow, Eldar and Friedmann, Daniel and Ulrich, Andre and Gronau, Norbert},
  title     = {Tools des Maschinellen Lernens},
  publisher = {Gito},
  address   = {Berlin},
  isbn      = {978-3-95545-380-0},
  doi       = {10.30844/grum_2020},
  pages     = {143},
  year      = {2021},
  abstract  = {K{\"u}nstliche Intelligenz ist in aller Munde. Immer mehr Anwendungsbereiche werden durch die Auswertung von vorliegenden Daten mit Algorithmen und Frameworks z.B. des Maschinellen Lernens erschlossen. Dieses Buch hat das Ziel, einen {\"U}berblick {\"u}ber gegenw{\"a}rtig vorhandene L{\"o}sungen zu geben und dar{\"u}ber hinaus konkrete Hilfestellung bei der Auswahl von Algorithmen oder Tools bei spezifischen Problemstellungen zu bieten. Um diesem Anspruch gerecht zu werden, wurden 90 L{\"o}sungen mittels einer systematischen Literaturrecherche und Praxissuche identifiziert sowie anschließend klassifiziert. Mit Hilfe dieses Buches gelingt es, schnell die notwendigen Grundlagen zu verstehen, g{\"a}ngige Anwendungsgebiete zu identifizieren und den Prozess zur Auswahl eines passenden ML-Tools f{\"u}r das eigene Projekt systematisch zu meistern.},
  language  = {de}
}
@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}
}