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Integration of New Technologies and Alternative Methods in Laboratory-Based Scenarios

Auer, Michael E. ; May, Dominik (Hrsg). Cross Reality and Data Science in Engineering : Proceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation. Cham: Springer 2021 S. 488 - 507 (Advances in Intelligent Systems and Computing)

Erscheinungsjahr: 2021

ISBN/ISSN: 978-3-030-52575-0

Publikationstyp: Buchbeitrag (Konferenzband)

Sprache: Englisch

Doi/URN: 10.1007/978-3-030-52575-0\_40

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Inhaltszusammenfassung


In this study, we report a preliminary requirements analysis to recognize needs and possibilities for integrating new technologies and methods for lab-based learning in the field of Industry 4.0 and Internet of Things. To this aim, different scenarios, such as real, remote and virtual labs, are considered to be addressable within an integrated learning environment that focuses on alternative methods (i.e. Serious Games, Self-Regulated and Collaborative Learning) and new technologies (i.e. Op... In this study, we report a preliminary requirements analysis to recognize needs and possibilities for integrating new technologies and methods for lab-based learning in the field of Industry 4.0 and Internet of Things. To this aim, different scenarios, such as real, remote and virtual labs, are considered to be addressable within an integrated learning environment that focuses on alternative methods (i.e. Serious Games, Self-Regulated and Collaborative Learning) and new technologies (i.e. Open Badges, Mixed Reality and Learning Analytics). To support the design of the laboratory-based learning environment, qualitative interviews were conducted with both expert lecturers and relevant students in the field of engineering, to provide complementary perspectives. These interviews were carried out to analyze the requirements, and to identify possible benefits that relevant stakeholders expect by using these teaching and learning methods and technologies. A qualitative content analysis has been started on the interviews to define which is the perception of the new technologies and teaching methods. The different points of view about technologies and methods coming from expert lecturers’ and relevant students’ interviews are provided.» weiterlesen» einklappen

  • Lab-based learning Self-Regulated Learning Collaborative learning Learning Analytics Serious games Mixed Reality Open Badges

Autoren


Burghardt, Martin (Autor)
Pfeiffer, Anke (Autor)
Reverberi, Davide (Autor)
Romagnoli, Giovanni (Autor)

Klassifikation


DFG Fachgebiet:
Erziehungswissenschaft und Bildungsforschung

DDC Sachgruppe:
Allgemeines, Wissenschaft

Verknüpfte Personen