About this paper

Appears in:
Pages: 9181-9191
Publication year: 2018
ISBN: 978-84-697-9480-7
ISSN: 2340-1079
doi: 10.21125/inted.2018.2251

Conference name: 12th International Technology, Education and Development Conference
Dates: 5-7 March, 2018
Location: Valencia, Spain

LEARNING ANALYTICS FRAMEWORK FOR IOT SECURITY EDUCATION

M. Chenguang1, S. Kulshrestha2, S. Wei1, Y. Okada1, R. Bose2

1Kyushu University (JAPAN)
2Indian Institute of Technology Delhi (INDIA)
Introduction:
This paper discusses IoT (Internet of Things) security education. Recently, Cybersecurity has become very popular because of the many cyberattacks around the world. Similarly, IoT security has become very important because more and more devices are connected to the Internet in order to collect various types of data. Thus, IoT security education is of great importance. In this research on ‘IoT security education’, there are several key challenges as follows:
1) The development of educational contents related to IoT security
2) Learning Analytics for IoT security education
As a first step of 1), a database about IoT security should be built that contains the various kinds of IoT threat information. The next step is to provide an authoring tool that enables educators to easily develop educational materials about IoT security using the database. Currently, the authors are developing the database of IoT threat information based on Linked Data technology and have already proposed the prototype of the authoring tool [1]. Then, this paper especially treats 2).

Research Purpose:
As a first stage of 2), a web-based educational material viewer that has learning analytics functionality should be developed because recently, learning analytics has become important and for that, a dedicated web-based viewer is necessary. The next stage is to provide educational materials of IoT security with the web-based material viewer to students for IoT security education. Then, the last stage is to apply the learning analytics for analyzing the students’ learning behaviors by visualizing the students’ learning activity data using some visualization tools. Through 1) and 2), the authors will propose learning analytics framework for IoT security education.

Research methodology:
Using the developed authoring tool and the database of IoT threats information realized as Linked Data, we can obtain e-learning materials of IoT security as epub format files or PDFs. So, a web-based educational material viewer to be developed will need to support epub format files or PDFs. Fortunately, there are dedicated viewers for them realized as JavaScript programs those are epub.js and PDF.js, respectively. Currently, the authors are developing the web-based viewer using epub.js and PDF.js by adding the functionality of collecting learning activity data. Finally, the authors will try the learning analytics by visualizing such data using some visualization tools [2, 3] already developed by the research group of the authors.

Conclusion and Future work:
In this paper, the authors proposed learning analytics framework for IoT security education and for it, they are developing a web-based educational material viewer with learning analytics functionality. As future work, the authors will develop actual educational materials of IoT security, and practically perform the education using the materials with the developed web-based viewer through the learning analytics.

References:
[1] Ma, C., Kulshrestha, S., et al : EDUCATIONAL MATERIAL DEVELOPMENT FRAMEWORK BASED ON LINKED DATA FOR IOT SECURITY, iCERi 2017, pp. 8048-8057.
[2] Nakamura, S. and Okada, Y. : Learning Analytics Using BookLooper and Time-tunnel, INTED 2017, pp. 8767-8776.
[3] Nakamura, S., Kaneko, K., Okada, Y., Yin, C. and Ogata, H. : Cubic Gantt Chart as Visualization Tool for Learning Activity Data, The 1st workshop on e-Book-based Educational Big Data for Enhancing Teaching and Learning of ICCE2015, pp. 649-658.
@InProceedings{CHENGUANG2018LEA,
author = {Chenguang, M. and Kulshrestha, S. and Wei, S. and Okada, Y. and Bose, R.},
title = {LEARNING ANALYTICS FRAMEWORK FOR IOT SECURITY EDUCATION},
series = {12th International Technology, Education and Development Conference},
booktitle = {INTED2018 Proceedings},
isbn = {978-84-697-9480-7},
issn = {2340-1079},
doi = {10.21125/inted.2018.2251},
url = {http://dx.doi.org/10.21125/inted.2018.2251},
publisher = {IATED},
location = {Valencia, Spain},
month = {5-7 March, 2018},
year = {2018},
pages = {9181-9191}}
TY - CONF
AU - M. Chenguang AU - S. Kulshrestha AU - S. Wei AU - Y. Okada AU - R. Bose
TI - LEARNING ANALYTICS FRAMEWORK FOR IOT SECURITY EDUCATION
SN - 978-84-697-9480-7/2340-1079
DO - 10.21125/inted.2018.2251
PY - 2018
Y1 - 5-7 March, 2018
CI - Valencia, Spain
JO - 12th International Technology, Education and Development Conference
JA - INTED2018 Proceedings
SP - 9181
EP - 9191
ER -
M. Chenguang, S. Kulshrestha, S. Wei, Y. Okada, R. Bose (2018) LEARNING ANALYTICS FRAMEWORK FOR IOT SECURITY EDUCATION, INTED2018 Proceedings, pp. 9181-9191.
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