E-learning material development framework supporting vr/ar based on linked data for iot security education

Chenguang Ma, Srishti Kulshrestha, Wei Shi, Yoshihiro Okada, Ranjan Bose

Research output: Chapter in Book/Report/Conference proceedingChapter

9 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationLecture Notes on Data Engineering and Communications Technologies
PublisherSpringer
Pages479-491
Number of pages13
DOIs
Publication statusPublished - 2018

Publication series

NameLecture Notes on Data Engineering and Communications Technologies
Volume17
ISSN (Print)2367-4512
ISSN (Electronic)2367-4520

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computer Networks and Communications
  • Information Systems

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  • Cite this

    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 Lecture Notes on Data Engineering and Communications Technologies (pp. 479-491). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 17). Springer. https://doi.org/10.1007/978-3-319-75928-9_43