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General Information
ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
CNKI
,
etc
.
Acceptance Rate:
12%
APC:
1000 USD
Average Days to Accept:
87 days
Journal Metrics:
Impact Factor 2023: 0.9
4.2
2023
CiteScore
57th percentile
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2024-10-23
JAIT Vol. 15, No. 10 has been published online!
2024-09-25
Vol. 15, No. 9 has been published online!
2024-08-28
Vol. 15, No. 8 has been published online!
Home
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Published Issues
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2019
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Volume 10, No. 3, August 2019
>
Development of Ontology-Based Software Security Learning System with Contextualized Learning Approach
Shao-Fang Wen and Basel Katt
Norwegian University of Science and Technology, Gjøvik, Norway
Abstract
—Learning software security is one of the most challenging tasks in the information technology sector due to the vast amount of security knowledge and the difficulties in understanding the practical applications. The traditional teaching and learning materials, which are usually organized topically and security-centric, have fewer linkages with learners’ experience and prior knowledge that they bring to the learning sessions. Learners often do not associate vulnerabilities or coding practices with programs similar to what they were writing in their previous time. Consequently, their motivation for learning is not touched by conventional methods. Therefore, it is necessary to develop learning tools that can improve learner’ ability of application-scenarios connections by using a meaningful learning approach. In this paper, we present a software-security learning system based on ontologies that facilitates the contextual learning process by providing contextualized access to security knowledge via real software application scenarios, in which learners can explore and relate the security knowledge to the context they are already familiar with.
Index Terms
—software security, ontology, contextualized learning, learning system
Cite: Shao-Fang Wen and Basel Katt, "Development of Ontology-Based Software Security Learning System with Contextualized Learning Approach," Journal of Advances in Information Technology, Vol. 10, No. 3, pp. 81-90, August 2019. doi: 10.12720/jait.10.3.81-90
1-CN025-挪威
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