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Remote Experimentation with Massively Scalable Online Laboratories

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Online Engineering & Internet of Things

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 22))

Abstract

In this paper we present a solution for highly scalable online laboratories at low cost. The Massively Scalable Online Laboratories (MSOL) is an online platform that enables the virtualization of real experiments in a fashion that very closely mimics a physical experiment. Moreover, it includes social features to enable peer-to-peer learning and facilitates the creation of an online community. To add an experiment to the MSOL platform, an existing setup is automatically turned into a data set, accessible through data base queries. In this way, MSOL provides an effective and scalable solution to add an important element to current online education systems at low costs. The MSOL platform might also accompany scientific and engineering papers to add another domain to disseminate qualitative and quantitative data.

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References

  1. Dalgarno, B., et al.: Effectiveness of a virtual laboratory as a preparatory resource for distance education chemistry students. Comput. Educ. 53, 853–865 (2009)

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  2. Hesselink, L., et al.: Stanford cyber lab: internet assisted laboratories. Int. J. Distance Educ. Technol. 1(1), 22–39 (2003). Chang, S.-K., Shih, T.K. (eds.), Idea Group Inc.

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Acknowledgements

G.K. Herring wishes to thank the Stanford Graduate Fellowship for their support. We also thank Stanford University for partial funding of this research.

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Authors and Affiliations

  1. Stanford University, Stanford, CA, 94305, USA

    Lars Thorben Neustock, George K. Herring & Lambertus Hesselink

Authors
  1. Lars Thorben Neustock
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  2. George K. Herring
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Corresponding author

Correspondence to Lars Thorben Neustock .

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Editors and Affiliations

  1. Carinthia University of Applied Sciences , Villach, Austria

    Michael E. Auer

  2. Carinthia University of Applied Sciences , Villach, Austria

    Danilo G. Zutin

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© 2018 Springer International Publishing AG

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Neustock, L.T., Herring, G.K., Hesselink, L. (2018). Remote Experimentation with Massively Scalable Online Laboratories. In: Auer, M., Zutin, D. (eds) Online Engineering & Internet of Things. Lecture Notes in Networks and Systems, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-64352-6_24

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  • DOI: https://doi.org/10.1007/978-3-319-64352-6_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64351-9

  • Online ISBN: 978-3-319-64352-6

  • eBook Packages: EngineeringEngineering (R0)

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