Standardization Layers for Remote Laboratories as Services and Open Educational Resources

  • Wissam Halimi
  • Christophe Salzmann
  • Denis Gillet
  • Hamadou Saliah-Hassane
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 22)

Abstract

Delivering education and educational resources has evolved from class-centered settings towards distributed, cloud-based models. This is mainly the consequence of publicly available educational resources such as documents, videos, and web applications. At the same time, emerging technologies in information and communication are enabling the development and deployment of remote laboratories on the Web. Today, these freely and openly available educational interactive media are known as Open Education Resources (OERs). Learning management systems, MOOC platforms, and educational social media platforms provide a medium for teachers to create their teaching activities around OERs in a structured way. To enjoy an effective and productive learning experience, it is necessary for the educational resources to be fully integrated in the hosting platform. While most platforms have a ready-to-embed infrastructure for certain types of OERs, they are not ready to host remote laboratories in an integrated fashion. In this paper, we define the necessary integration layers for remote labs in online learning environments. The work is validated by two implementations with different target platforms.

Keywords

Lab as a service Remote laboratories Online learning Open educational resources Standardization 

References

  1. 1.
    Learning Tools Interoperability - Implementation Guide (2016). https://www.imsglobal.org/specs/ltiv1p2/implementation-guide Accessed 15 Jan 2017
  2. 2.
    Bogdanov, E., Limpens, F., Li, N., El Helou, S., Salzmann, C., Gillet, D.: A social media platform in higher education. In: Global Engineering Education Conference (EDUCON), 2012 IEEE, pp. 1–8. IEEE (2012)Google Scholar
  3. 3.
    Dasarathy, B., Sullivan, K., Schmidt, D.C., Fisher, D.H., Porter, A.: The past, present, and future of moocs and their relevance to software engineering. In: FOSE 2014 Proceedings of the on Future of Software Engineering, pp. 212–224 (2014)Google Scholar
  4. 4.
    Duan, Y., Fu, G., Zhou, N., Sun, X., Narendra, N.C., Hu, B.: Everything as a service (xaas) on the cloud: origins, current and future trends. In: 2015 IEEE 8th International Conference on Cloud Computing, pp. 621–628. IEEE (2015)Google Scholar
  5. 5.
    Duval, E.: Attention please!: Learning analytics for visualization and recommendation. In: Proceedings of the 1st International Conference on Learning Analytics and Knowledge, pp. 9–17. ACM (2011)Google Scholar
  6. 6.
    Gillet, D., De Jong, T., Sotirou, S., Salzmann, C.: Personalised learning spaces and federated online labs for stem education at school. In: Global Engineering Education Conference (EDUCON), 2013 IEEE, pp. 769–773. IEEE (2013)Google Scholar
  7. 7.
    Halimi, W., Jamkojian, H., Salzmann, C., Gillet, D.: Enabling the automatic generation of user interfaces for remote laboratories. In: 2017 14th International Conference on Remote Engineering and Virtual Instrumentation (rev). IEEE (2017)Google Scholar
  8. 8.
    Lowe, D.: Mools: massive open online laboratories: An analysis of scale and feasibility. In: 2014 11th International Conference on Remote Engineering and Virtual Instrumentation (REV), pp. 1–6 (2014)Google Scholar
  9. 9.
    Rodríguez-Triana, M.J., Govaerts, S., Halimi, W., Holzer, A., Salzmann, C., Vozniuk, A., de Jong, T., Sotirou, S., Gillet, D.: Rich open educational resources for personal and inquiry learning: agile creation, sharing and reuse in educational social media platforms. In: 2014 International Conference on Web and Open Access to Learning (ICWOAL), pp. 1–6. IEEE (2014)Google Scholar
  10. 10.
    Saliah-Hassane, H., Reuzeau, A.: Mobile open online laboratories: a way towards connectionist massive online laboratories with x-API (c-MOOLS). In: 2014 IEEE Frontiers in Education Conference (FIE) Proceedings, pp. 1–7. IEEE (2014)Google Scholar
  11. 11.
    Salzmann, C., Govaerts, S., Halimi, W., Gillet, D.: The smart device specification for remote labs. In: 2015 12th international conference on Remote engineering and virtual instrumentation, pp. 199–208. IEEE (2015)Google Scholar
  12. 12.
    Salzmann, C., Halimi, W., Gillet, D., Govaerts, S.: Deploying large scale online labs with smart devices. In: Cyber-Physical Laboratories in Engineering and Science Education (under review) (2017)Google Scholar
  13. 13.
    Siemens, G., d Baker, R.S.: Learning analytics and educational data mining: towards communication and collaboration. In: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, pp. 252–254. ACM (2012)Google Scholar
  14. 14.
    Tawfik, M., Salzmann, C., Gillet, D., Lowe, D., Saliah-Hassane, H., Sancristobal, E., Castro, M.: Laboratory as a service (LaaS): a model for developing and implementing remote laboratories as modular components. In: 2014 11th International Conference on Remote Engineering and Virtual Instrumentation (REV), pp. 11–20. IEEE (2014)Google Scholar
  15. 15.

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Wissam Halimi
    • 1
  • Christophe Salzmann
    • 2
  • Denis Gillet
    • 1
  • Hamadou Saliah-Hassane
    • 3
  1. 1.EPFL, REACT, Station 11LausanneSwitzerland
  2. 2.Automatic Control Laboratory, EPFL, Station 9LausanneSwitzerland
  3. 3.TELUQ, Université du QuébecMontréalCanada

Personalised recommendations