Self learning module on securing IPV6 deployment / Muhamad Nazif Shahaimi Zaha

IPv6 Module application is a mobile learning application with the gamification elements for IPv6 deployment. This project was designed especially for all users who want to learn the IPv6 in fast as anywhere at any time. The main purpose is to make this mobile application as the supporting tool for t...

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Main Author: Zaha, Muhamad Nazif Shahaimi
Format: Thesis
Language:English
Published: 2019
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/26849/
http://ir.uitm.edu.my/id/eprint/26849/1/TD_MUHAMMAD%20NAZIF%20SHAHAIMI%20ZAHA%20CS%20R%2019_5.pdf
id uitm-26849
recordtype eprints
spelling uitm-268492019-12-10T04:27:48Z http://ir.uitm.edu.my/id/eprint/26849/ Self learning module on securing IPV6 deployment / Muhamad Nazif Shahaimi Zaha Zaha, Muhamad Nazif Shahaimi Evolutionary programming (Computer science). Genetic algorithms Web databases IPv6 Module application is a mobile learning application with the gamification elements for IPv6 deployment. This project was designed especially for all users who want to learn the IPv6 in fast as anywhere at any time. The main purpose is to make this mobile application as the supporting tool for the users on learning the IPv6 deployment. There was no tool that helps or encourages the people on the IPv6 module along with gamification elements. The uses of the gamification elements in the application are to attract the user and make the application interesting. Besides that, it can also motivate the learner to learn or encourage the people to study more. Furthermore, the gamification method was accomplished in the quiz session that is related to the module with difficulty of quizzes and the feedback to each category. It also has the ranking status after finished answered the quizzes. By applying the gamification elements to the mobile application, it can enhance user behaviour by motivating them to learn more about studying the IPv6.The application has been evaluated using usability and performance test. Some potential users were invited to install and use the application. They were required to answer the questionnaire. The results show that most of the respondents (88%) are satisfied with the application. The network performance testing to test the network response time and network success rate was given a successful result. In terms of heuristic evaluation, most of the participants feeling motivated and enjoyable while using the IPv6 Module application. Therefore, the IPv6 Module application can enhance and assist the user experience in the learning process. Furthermore, it can improve the user understanding in learning IPv6 deployment. 2019-12-12 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/26849/1/TD_MUHAMMAD%20NAZIF%20SHAHAIMI%20ZAHA%20CS%20R%2019_5.pdf Zaha, Muhamad Nazif Shahaimi (2019) Self learning module on securing IPV6 deployment / Muhamad Nazif Shahaimi Zaha. Degree thesis, Universiti Teknologi MARA, Perlis.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Evolutionary programming (Computer science). Genetic algorithms
Web databases
spellingShingle Evolutionary programming (Computer science). Genetic algorithms
Web databases
Zaha, Muhamad Nazif Shahaimi
Self learning module on securing IPV6 deployment / Muhamad Nazif Shahaimi Zaha
description IPv6 Module application is a mobile learning application with the gamification elements for IPv6 deployment. This project was designed especially for all users who want to learn the IPv6 in fast as anywhere at any time. The main purpose is to make this mobile application as the supporting tool for the users on learning the IPv6 deployment. There was no tool that helps or encourages the people on the IPv6 module along with gamification elements. The uses of the gamification elements in the application are to attract the user and make the application interesting. Besides that, it can also motivate the learner to learn or encourage the people to study more. Furthermore, the gamification method was accomplished in the quiz session that is related to the module with difficulty of quizzes and the feedback to each category. It also has the ranking status after finished answered the quizzes. By applying the gamification elements to the mobile application, it can enhance user behaviour by motivating them to learn more about studying the IPv6.The application has been evaluated using usability and performance test. Some potential users were invited to install and use the application. They were required to answer the questionnaire. The results show that most of the respondents (88%) are satisfied with the application. The network performance testing to test the network response time and network success rate was given a successful result. In terms of heuristic evaluation, most of the participants feeling motivated and enjoyable while using the IPv6 Module application. Therefore, the IPv6 Module application can enhance and assist the user experience in the learning process. Furthermore, it can improve the user understanding in learning IPv6 deployment.
format Thesis
author Zaha, Muhamad Nazif Shahaimi
author_facet Zaha, Muhamad Nazif Shahaimi
author_sort Zaha, Muhamad Nazif Shahaimi
title Self learning module on securing IPV6 deployment / Muhamad Nazif Shahaimi Zaha
title_short Self learning module on securing IPV6 deployment / Muhamad Nazif Shahaimi Zaha
title_full Self learning module on securing IPV6 deployment / Muhamad Nazif Shahaimi Zaha
title_fullStr Self learning module on securing IPV6 deployment / Muhamad Nazif Shahaimi Zaha
title_full_unstemmed Self learning module on securing IPV6 deployment / Muhamad Nazif Shahaimi Zaha
title_sort self learning module on securing ipv6 deployment / muhamad nazif shahaimi zaha
publishDate 2019
url http://ir.uitm.edu.my/id/eprint/26849/
http://ir.uitm.edu.my/id/eprint/26849/1/TD_MUHAMMAD%20NAZIF%20SHAHAIMI%20ZAHA%20CS%20R%2019_5.pdf
first_indexed 2023-09-18T23:17:30Z
last_indexed 2023-09-18T23:17:30Z
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