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Lately, first implementation approaches of Internet of Things (IoT) technologies penetrate industrial value-adding processes. Within this, the competence requirements for employees are changing. Employees’ organization, process, and interaction competences are of crucial importance in this new IoT environment, however, in students and vocational training not sufficiently considered yet. On the other hand, conventional learning factories evolve and transform to digital learning factories. Nevertheless, the integration of IoT technology and its usage for training in digital learning factories has been largely neglected thus far. Existing learning factories do not explicitly and properly consider IoT technology, which leads to deficiencies regarding an appropriate development of employees’ Industrial IoT competences. The goal of this contribution is to point out a didactic concept that enables development and training of these new demanded competences by using an IoT laboratory. For this purpose, a design science approach is applied. The result of this contribution is a didactic concept for the development of Industrial IoT competences in an IoT laboratory.
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.
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.
Wandlungsfähigkeit beschreibt die Fähigkeit eines Systems, proaktiv oder reaktiv Maßnahmen für die Modifikation seiner Eigenschaften schnell und effizient zu entwickeln, umzusetzen und anzuwenden sowie sich proaktiv darauf vorzubereiten, inaktiv zu sein und passiv Einwirkungen aus der Umwelt zu tolerieren. Die Eigenschaften wandlungsfähiger Systeme werden häufig als Indikatoren (z.B. Modularität, Wissen) verwendet. Dabei existiert eine Vielzahl potenzieller Indikatoren, deren jeweilige Relevanz jedoch ungeklärt ist. Hier setzt die Zielstellung der vorliegenden Arbeit an. Das Erkenntnisziel ist die Erklärung der Wandlungsfähigkeit sozio-technischer Systeme. Zu diesem Zweck wird ein Erklärungsmodell der indikatorbasierten Wandlungsfähigkeit erstellt, das zum Nachweis von Wandlungsfähigkeit, zur Bewertung dieser sowie zur Systemanalyse genutzt werden kann. Weiterhin wird exemplarisch eine positive Korrelation von Wandlungsfähigkeit und Schnelligkeit sowie Effizienz bei Veränderungsprojekten nachgewiesen.