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Title Using Internet Of Things For Automatic Student Assessment During Laboratory Experiments
ID_Doc 60567
Authors Mershad K.; Damaj A.; Hamieh A.
Year 2019
Published 5th IEEE International Smart Cities Conference, ISC2 2019
DOI http://dx.doi.org/10.1109/ISC246665.2019.9071654
Abstract A Learning Management Systems (LMS) is a tool for creating, distributing, tracking, and managing various types of educational material. In a previous work, the authors proposed a framework for a future LMS enhanced by Internet of Things (IoT) capabilities. The authors outlined the expected enhancements that IoT will bring to the LMS functionalities. In this paper, the authors explain the detailed implementation of an LMS application that enables a lab instructor to assess students' performance automatically during and after lab experiments. The authors explain the implementation details of the application, including the software; hardware; and IoT devices and sensors that were used to realize the application objectives and the methods used to connect the LMS to the IoT equipment. In addition, the authors explain the experiments that were made to test the efficiency of the application, which was implemented on top of the Moodle LMS using a custom Plugin that was used to connect Moodle to the IoT tools and execute the functionalities of the application. © 2019 IEEE.
Author Keywords Automated Assessment; Internet of Things; IoT in education; IoT-enhanced LMS; Lab Experiments; Learning Management System; Students' Assessments


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