TY - JOUR A1 - Gronau, Norbert A1 - Ulrich, Andre A1 - Bender, Benedict T1 - Hybride Lernfabrik im Anwendungszentrum Industrie 4.0 JF - Industrial Internet of Things in der Arbeits- und Betriebsorganisation Y1 - 2017 SN - 978-3-95545-225-4 SP - 1 EP - 23 PB - Gito CY - Berlin ER - TY - GEN A1 - Vladova, Gergana A1 - Ullrich, André A1 - Bender, Benedict A1 - Gronau, Norbert T1 - Students’ Acceptance of Technology-Mediated Teaching – How It Was Influenced During the COVID-19 Pandemic in 2020: A Study From Germany T2 - Postprints der Universität Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe N2 - 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. T3 - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe - 141 KW - COVID-19 KW - digital learning KW - discipline differences KW - e-learning KW - TAM KW - technology acceptance KW - technology-mediated teaching KW - university teaching Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-521615 SN - 1867-5808 ER - TY - JOUR A1 - Vladova, Gergana A1 - Ullrich, André A1 - Bender, Benedict A1 - Gronau, Norbert T1 - Students’ acceptance of technology-mediated teaching – How it was influenced during the COVID-19 Pandemic in 2020 BT - A study from Germany JF - Frontiers in psychology / Frontiers Research Foundation N2 - 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. KW - COVID-19 KW - digital learning KW - discipline differences KW - e-learning KW - TAM KW - technology acceptance KW - technology-mediated teaching KW - university teaching Y1 - 2020 U6 - https://doi.org/10.3389/fpsyg.2021.636086 SN - 1664-1078 VL - 12 PB - Frontiers Research Foundation CY - Lausanne ER - TY - JOUR A1 - Grum, Marcus A1 - Bender, Benedict A1 - Alfa, A. S. A1 - Gronau, Norbert T1 - A decision maxim for efficient task realization within analytical network infrastructures JF - Decision support systems : DSS ; the international journal N2 - Faced with the increasing needs of companies, optimal dimensioning of IT hardware is becoming challenging for decision makers. In terms of analytical infrastructures, a highly evolutionary environment causes volatile, time dependent workloads in its components, and intelligent, flexible task distribution between local systems and cloud services is attractive. With the aim of developing a flexible and efficient design for analytical infrastructures, this paper proposes a flexible architecture model, which allocates tasks following a machine-specific decision heuristic. A simulation benchmarks this system with existing strategies and identifies the new decision maxim as superior in a first scenario-based simulation. KW - Analytics KW - Architecture concepts KW - Cyber-physical systems KW - Internet of things KW - Task realization strategies KW - Simulation Y1 - 2018 U6 - https://doi.org/10.1016/j.dss.2018.06.005 SN - 0167-9236 SN - 1873-5797 VL - 112 SP - 48 EP - 59 PB - Elsevier CY - Amsterdam ER -