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Development of an Automatic Assessment in Remote Experimentation Over Remote Laboratory

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Smart Industry & Smart Education (REV 2018)

Abstract

In the last few years, performing experimentation over remote laboratory became a reality. In fact, for managing a large class, this new situation needs some appropriate pedagogical scheme. Else, the entire system must be reviewed. We have developed a method to set up an automatic assessment in remote experimentation over a flexible remote laboratory. Automatic assessment in remote experimentation can provide important benefits including: improved situation awareness, more accurate management for large class, and improved overall performance. We present a new approach to set up online experimentation under a flexible remote laboratory. In fact, we develop a particular pedagogical scheme for remote experimentation. On the basis of this analysis, we developed an automatic assessment system to evaluate remote experimentation for a large number of students. Hardware architecture consists of servers; some measurement instruments and electronic circuits, where the software architecture is based on web development tools. Furthermore, to embed pedagogical material for our system, we have used Moodle LMS platform. We illustrate an example of remote experimentation prototype which allows students to manipulate a dipole circuit workbench remotely. A set of students can connect to the remote lab at any time and perform manipulations and obtain personal and appropriate results from the shared equipment. The system includes auto test with customized interfaces for accessing to the same platform. Some results of manipulation are presented.

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Correspondence to Abderrahmane Adda Benattia , Abdelhalim Benachenhou or Mohammed Moussa .

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Benattia, A.A., Benachenhou, A., Moussa, M. (2019). Development of an Automatic Assessment in Remote Experimentation Over Remote Laboratory. In: Auer, M., Langmann, R. (eds) Smart Industry & Smart Education. REV 2018. Lecture Notes in Networks and Systems, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-319-95678-7_15

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