Performance evaluation of an iot-based e-learning testbed considering meditation parameter

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Abstract

Due to the opportunities provided by the Internet, people are taking advantage of e-learning courses and enormous research efforts have been dedicated to the development of e-learning systems. So far, many e-learning systems are proposed and used practically. However, in these systems the e-learning completion rate is low. One of the reasons is the low study desire and motivation. In this work, we present an IoT-Based e-learning testbed. We carried out some experiments considering meditation parameter with a student of our laboratory. We used Mind Wave Mobile (MWM) to get the data and considered four situations: Playing Game, Watching Movie, Listening Music and Reading Book. The evaluation results show that our testbed can judge the student situation by meditation parameter.

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Yamada, M., Bylykbashi, K., Liu, Y., Matsuo, K., Barolli, L., & Kolici, V. (2018). Performance evaluation of an iot-based e-learning testbed considering meditation parameter. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 17, pp. 1049–1060). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-75928-9_97

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