Ontology for mobile device utilization: towards knowledge personalization in mobile learning

Mobile devices usage has grown significantly in the last decade. With the advent of mobile technology, mobile devices have transformed people lifestyle including learning style. Mobile learning uses mobile technologies to carry out learning process. Typically, mobile learning involved individual lea...

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Main Author: Toh, Shee Ying
Format: Thesis
Language:English
Published: 2016
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Online Access:http://eprints.utm.my/id/eprint/78052/1/TooSheeYingMFC20161.pdf
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spelling my-utm-ep.780522018-07-23T05:33:18Z Ontology for mobile device utilization: towards knowledge personalization in mobile learning 2016-01 Toh, Shee Ying QA75 Electronic computers. Computer science Mobile devices usage has grown significantly in the last decade. With the advent of mobile technology, mobile devices have transformed people lifestyle including learning style. Mobile learning uses mobile technologies to carry out learning process. Typically, mobile learning involved individual learning with less or without teacher‟s supervision and guidance. This means that the learners need to manage their knowledge on their own. However, not all learners have similar learning ability and behaviour. The ways they manage their knowledge are different. In this study, an ontology for mobile device utilization is proposed to study the behaviour of learners in the usage of mobile device. Then, potential personalization feature, that can be included in mobile learning, can be identified based on the mobile device utilization of learners. The ways they use their mobile device is studied to identify the potential personalization feature they will use to manage their knowledge. Knowledge personalization in mobile learning is analysed based on the ontology of mobile device utilization where knowledge personalization is the ability to provide knowledge according to the learners‟ behaviours. Motivated by the lack of research on knowledge personalization in mobile learning especially in Malaysia, this study is conducted in Malaysia. Design science research method is used for this study and METHONTOLOGY is used for the development of ontology. The resulted ontology consists of a total of 39 concepts and 3 tiers. Questionnaire is distributed to lower secondary students in Malaysia to collect the data about the mobile device utilization. This questionnaire is mapped with concepts in the ontology developed and the finding is analysed toward knowledge personalization in mobile learning. The result from the questionnaire conducted showed that each concept is reliable and suitable for knowledge personalization in mobile learning. 2016-01 Thesis http://eprints.utm.my/id/eprint/78052/ http://eprints.utm.my/id/eprint/78052/1/TooSheeYingMFC20161.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:90329 masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic QA75 Electronic computers
Computer science
spellingShingle QA75 Electronic computers
Computer science
Toh, Shee Ying
Ontology for mobile device utilization: towards knowledge personalization in mobile learning
description Mobile devices usage has grown significantly in the last decade. With the advent of mobile technology, mobile devices have transformed people lifestyle including learning style. Mobile learning uses mobile technologies to carry out learning process. Typically, mobile learning involved individual learning with less or without teacher‟s supervision and guidance. This means that the learners need to manage their knowledge on their own. However, not all learners have similar learning ability and behaviour. The ways they manage their knowledge are different. In this study, an ontology for mobile device utilization is proposed to study the behaviour of learners in the usage of mobile device. Then, potential personalization feature, that can be included in mobile learning, can be identified based on the mobile device utilization of learners. The ways they use their mobile device is studied to identify the potential personalization feature they will use to manage their knowledge. Knowledge personalization in mobile learning is analysed based on the ontology of mobile device utilization where knowledge personalization is the ability to provide knowledge according to the learners‟ behaviours. Motivated by the lack of research on knowledge personalization in mobile learning especially in Malaysia, this study is conducted in Malaysia. Design science research method is used for this study and METHONTOLOGY is used for the development of ontology. The resulted ontology consists of a total of 39 concepts and 3 tiers. Questionnaire is distributed to lower secondary students in Malaysia to collect the data about the mobile device utilization. This questionnaire is mapped with concepts in the ontology developed and the finding is analysed toward knowledge personalization in mobile learning. The result from the questionnaire conducted showed that each concept is reliable and suitable for knowledge personalization in mobile learning.
format Thesis
qualification_level Master's degree
author Toh, Shee Ying
author_facet Toh, Shee Ying
author_sort Toh, Shee Ying
title Ontology for mobile device utilization: towards knowledge personalization in mobile learning
title_short Ontology for mobile device utilization: towards knowledge personalization in mobile learning
title_full Ontology for mobile device utilization: towards knowledge personalization in mobile learning
title_fullStr Ontology for mobile device utilization: towards knowledge personalization in mobile learning
title_full_unstemmed Ontology for mobile device utilization: towards knowledge personalization in mobile learning
title_sort ontology for mobile device utilization: towards knowledge personalization in mobile learning
granting_institution Universiti Teknologi Malaysia, Faculty of Computing
granting_department Faculty of Computing
publishDate 2016
url http://eprints.utm.my/id/eprint/78052/1/TooSheeYingMFC20161.pdf
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