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

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Cross Reality and Data Science in Engineering (REV 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1231))

Abstract

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.

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Notes

  1. 1.

    https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-programs-2019-2020/#GC3.

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Acknowledgement

This research was funded by German Ministry of Education and Research BMBF, grant numbers 16DHB2112 (HFT Stuttgart), 16DHB2116 (University of Parma) and 16DHB2115 (IWM Koblentz), and was developed within the project DigiLab4U (https://digilab4u.com/).

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Authors and Affiliations

  1. Institut für Wissensmedien Koblenz-Landau, Koblenz, Germany

    Martin Burghardt & Peter Ferdinand

  2. Hochschule für Technik Stuttgart, Stuttgart, Germany

    Anke Pfeiffer

  3. Università di Parma, Parma, Italy

    Davide Reverberi & Giovanni Romagnoli

Authors
  1. Martin Burghardt
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  2. Peter Ferdinand
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  3. Anke Pfeiffer
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  4. Davide Reverberi
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  5. Giovanni Romagnoli
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Corresponding author

Correspondence to Davide Reverberi .

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Editors and Affiliations

  1. Carinthia University of Applied Sciences, Villach, Austria

    Michael E. Auer

  2. College of Engineering, University of Georgia, Athens, GA, USA

    Dominik May

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Burghardt, M., Ferdinand, P., Pfeiffer, A., Reverberi, D., Romagnoli, G. (2021). Integration of New Technologies and Alternative Methods in Laboratory-Based Scenarios. In: Auer, M., May, D. (eds) Cross Reality and Data Science in Engineering. REV 2020. Advances in Intelligent Systems and Computing, vol 1231. Springer, Cham. https://doi.org/10.1007/978-3-030-52575-0_40

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