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Conceptual framework for adversarial thinking adoption in experiential learning model for robotics learning

In this high-technological era, cybersecurity is well-known due to various cybercrimes that happen from time to time. Adversarial thinking, which can be explained as one ability of strategic thinking commonly applied by the hacker, needs to be disclosed to society as one of cybersecurity awareness....

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Main Authors: Adnan, Noridayu, Abdullah, Siti Norul Huda Sheikh, Raja Yusof, Raja Jamilah, Zainal, Noor Faridatul Ainun
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.um.edu.my/43393/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129597099&doi=10.1109%2fICBATS54253.2022.9758998&partnerID=40&md5=89efacf43c2789e67222cf99d119b910
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spelling my.um.eprints.433932025-02-12T07:00:55Z http://eprints.um.edu.my/43393/ Conceptual framework for adversarial thinking adoption in experiential learning model for robotics learning Adnan, Noridayu Abdullah, Siti Norul Huda Sheikh Raja Yusof, Raja Jamilah Zainal, Noor Faridatul Ainun QA75 Electronic computers. Computer science In this high-technological era, cybersecurity is well-known due to various cybercrimes that happen from time to time. Adversarial thinking, which can be explained as one ability of strategic thinking commonly applied by the hacker, needs to be disclosed to society as one of cybersecurity awareness. Therefore, this study highlights the usage of adversarial thinking in education by adopting the adversarial thinking elements in the experiential learning model. The conceptual framework of adopting adversarial thinking has been developed by using the Matsuo-Nagata learning model 2020. The Matsuo-Nagata learning model has only been applied in the training programs; therefore, to apply the current learning model to the education and cybersecurity field, a new learning model has been revised and adopted with the adversarial thinking aspect. Robotic learning has been chosen as the learning tool for the revised experiential learning model. This study involves three elements of adversarial thinking: analytical, creative, and practical. By analyzing the previous study and the survey results from the expert, the findings show that adversarial thinking is suitable and essential to be adopted in the experiential learning model. © 2022 IEEE. Institute of Electrical and Electronics Engineers Inc. 2022 Conference or Workshop Item PeerReviewed Adnan, Noridayu and Abdullah, Siti Norul Huda Sheikh and Raja Yusof, Raja Jamilah and Zainal, Noor Faridatul Ainun (2022) Conceptual framework for adversarial thinking adoption in experiential learning model for robotics learning. In: 2022 International Conference on Business Analytics for Technology and Security, ICBATS 2022, 16-17 February 2022, Dubai. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129597099&doi=10.1109%2fICBATS54253.2022.9758998&partnerID=40&md5=89efacf43c2789e67222cf99d119b910
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Adnan, Noridayu
Abdullah, Siti Norul Huda Sheikh
Raja Yusof, Raja Jamilah
Zainal, Noor Faridatul Ainun
Conceptual framework for adversarial thinking adoption in experiential learning model for robotics learning
description In this high-technological era, cybersecurity is well-known due to various cybercrimes that happen from time to time. Adversarial thinking, which can be explained as one ability of strategic thinking commonly applied by the hacker, needs to be disclosed to society as one of cybersecurity awareness. Therefore, this study highlights the usage of adversarial thinking in education by adopting the adversarial thinking elements in the experiential learning model. The conceptual framework of adopting adversarial thinking has been developed by using the Matsuo-Nagata learning model 2020. The Matsuo-Nagata learning model has only been applied in the training programs; therefore, to apply the current learning model to the education and cybersecurity field, a new learning model has been revised and adopted with the adversarial thinking aspect. Robotic learning has been chosen as the learning tool for the revised experiential learning model. This study involves three elements of adversarial thinking: analytical, creative, and practical. By analyzing the previous study and the survey results from the expert, the findings show that adversarial thinking is suitable and essential to be adopted in the experiential learning model. © 2022 IEEE.
format Conference or Workshop Item
author Adnan, Noridayu
Abdullah, Siti Norul Huda Sheikh
Raja Yusof, Raja Jamilah
Zainal, Noor Faridatul Ainun
author_facet Adnan, Noridayu
Abdullah, Siti Norul Huda Sheikh
Raja Yusof, Raja Jamilah
Zainal, Noor Faridatul Ainun
author_sort Adnan, Noridayu
title Conceptual framework for adversarial thinking adoption in experiential learning model for robotics learning
title_short Conceptual framework for adversarial thinking adoption in experiential learning model for robotics learning
title_full Conceptual framework for adversarial thinking adoption in experiential learning model for robotics learning
title_fullStr Conceptual framework for adversarial thinking adoption in experiential learning model for robotics learning
title_full_unstemmed Conceptual framework for adversarial thinking adoption in experiential learning model for robotics learning
title_sort conceptual framework for adversarial thinking adoption in experiential learning model for robotics learning
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2022
url http://eprints.um.edu.my/43393/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129597099&doi=10.1109%2fICBATS54253.2022.9758998&partnerID=40&md5=89efacf43c2789e67222cf99d119b910
_version_ 1825160592094134272
score 13.24

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