Abstract
Remote labs are interactive Open Educational Resources, where user’s action generates a wealth of data belonging to two categories: interaction data resulting from the use of the client web app, and experimental data resulting from performing the experiment. Many entities are interested in deriving insights from the user’s generated data: students, teachers, institutions, and lab providers. In this work we consider to needs of students and lab owners as stakeholders. Through questionnaires we find out that students want to save and retrieve their experimental results and have awareness about their progress relative to others, while lab owners want to understand how their labs are used in order to provide better services and advertise their labs. Given that students and lab owners have different interests in the data, we address their differing needs by proposing an architecture for an activity tracking infrastructure, an accompanying vocabulary to formalize the tracks, and present a use case.
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Acknowledgment
This work was partially funded by the European Union in the context of the Go-Lab Integrated Project and the Next-Lab Innovation Action. The latter has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No 731685. This publication reflects only the author’s view and the European Commission is not responsible for any use that may be made of the information it contains. The work was also co-funded by the Swiss National Science Foundation in the framework of its SCOPES (Scientific co-operation between Eastern Europe and Switzerland) programme under Grant Agreement No IZ74Z0-160454. This paper is one of the contributions of the task carried on in the framework the IEEE-SA P1876TM Working Group on “Standard for Networked Smart Learning Objects for Online Laboratories” (https://ieee-sa.imeetcentral.com/1876public/).
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Halimi, W., Salzmann, C., Gillet, D. (2018). An Activity Tracking Infrastructure for Embedded Open Educational Labs Supporting the Needs of Lab Owners and Students. In: Auer, M., Guralnick, D., Simonics, I. (eds) Teaching and Learning in a Digital World. ICL 2017. Advances in Intelligent Systems and Computing, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-319-73204-6_67
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DOI: https://doi.org/10.1007/978-3-319-73204-6_67
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