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E-learning Material Development Framework Supporting VR/AR Based on Linked Data for IoT Security Education

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Advances in Internet, Data & Web Technologies (EIDWT 2018)

Abstract

This paper treats one of the activities of a research project about IoT (Internet of Things) security education. In this project, the authors plan to provide SPOC (Small Private Online Course), MOOC (Massive Open Online Course) and education games (serious games) about IoT security. One of the key challenges is the development of educational materials that attract students to IoT security. As a first step, a database will be built that contains the IoT security information for educational materials. So, the authors have already been building a comprehensive database regarding the various kinds of IoT threats based on Linked Data. The other research agenda is to provide e-learning materials themselves using the database that attract students to IoT security. The use of VR (Virtual Reality) and AR (Augmented Reality) technologies enables e-learning materials to attract the students. In this paper, the authors propose e-learning material development framework supporting VA/AR based on Linked Data.

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Acknowledgements

This research was mainly supported by Strategic International Research Cooperative Program, Japan Science and Technology Agency (JST) regarding “Security in the Internet of Things Space”, and partially supported by JSPS KAKENHI Grant Number JP16H02923, JP15K12170 and JP17H00773.

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Correspondence to Yoshihiro Okada .

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Ma, C., Kulshrestha, S., Shi, W., Okada, Y., Bose, R. (2018). E-learning Material Development Framework Supporting VR/AR Based on Linked Data for IoT Security Education. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-75928-9_43

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  • DOI: https://doi.org/10.1007/978-3-319-75928-9_43

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  • Print ISBN: 978-3-319-75927-2

  • Online ISBN: 978-3-319-75928-9

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