Personalized gamified learning based on learning style

Gamification demonstrates motivation and encouragement that can be gained by people during the use gamified experience. Gamification technology has been successfully applied in several domains including health and fitness, marketing, education and daily activities. It is the strategy to use heteroge...

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Main Author:	Aljabali, Rasha Najib Ahmed Abdullah
Format:	Thesis
Language:	English
Published:	2019
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/96340/1/RashaNajibAhmedMSC2019.pdf.pdf
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id	my-utm-ep.96340
record_format	uketd_dc
spelling	my-utm-ep.963402022-07-18T09:47:31Z Personalized gamified learning based on learning style 2019 Aljabali, Rasha Najib Ahmed Abdullah QA75 Electronic computers. Computer science Gamification demonstrates motivation and encouragement that can be gained by people during the use gamified experience. Gamification technology has been successfully applied in several domains including health and fitness, marketing, education and daily activities. It is the strategy to use heterogeneous game elements within non-entertainment context. As Millennial Generation students have dissimilar needs and preferences, the necessity of having personalized learning is increased recently to boost the effectiveness of the educational system. Learning style has attracted researchers to develop a gamified learning with personalization attributes. As Felder-Silverman Learning Style Model (FSLSM) is the most recommended model by researchers, this study aims to investigate the personalized gamified learning based on student’s learning style. A Design Science Research approach (DSR) has been adopted to develop a personalized gamified model using 10 game elements and 4 FSLSM dimensions. To evaluate this model, a web-based gamification application prototype has been developed for Data Flow Diagram (DFD) topic within System Analysis and Design course. An experimental study using the prototype has been conducted with 71 undergraduate students from School of Computing, Universiti Teknologi Malaysia (UTM). Participants were divided into two groups: experimental and control. Additionally, the gamification application has two different modes: personalized mode (for experimental group) and non-personalized mode (for control group). Data was collected from the prototype database and perceived usefulness questionnaire. An independent t-test has been used to compare means of scores between groups. Result shows that there is a significant difference between the students’ scores within the two groups. Therefore, it was clearly revealed that personalized gamified learning is an effective method in learning process; aswell as in boosting student perceived usefulness of the application. 2019 Thesis http://eprints.utm.my/id/eprint/96340/ http://eprints.utm.my/id/eprint/96340/1/RashaNajibAhmedMSC2019.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:143444 masters Universiti Teknologi Malaysia Faculty of Engineering - School of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Aljabali, Rasha Najib Ahmed Abdullah Personalized gamified learning based on learning style
description	Gamification demonstrates motivation and encouragement that can be gained by people during the use gamified experience. Gamification technology has been successfully applied in several domains including health and fitness, marketing, education and daily activities. It is the strategy to use heterogeneous game elements within non-entertainment context. As Millennial Generation students have dissimilar needs and preferences, the necessity of having personalized learning is increased recently to boost the effectiveness of the educational system. Learning style has attracted researchers to develop a gamified learning with personalization attributes. As Felder-Silverman Learning Style Model (FSLSM) is the most recommended model by researchers, this study aims to investigate the personalized gamified learning based on student’s learning style. A Design Science Research approach (DSR) has been adopted to develop a personalized gamified model using 10 game elements and 4 FSLSM dimensions. To evaluate this model, a web-based gamification application prototype has been developed for Data Flow Diagram (DFD) topic within System Analysis and Design course. An experimental study using the prototype has been conducted with 71 undergraduate students from School of Computing, Universiti Teknologi Malaysia (UTM). Participants were divided into two groups: experimental and control. Additionally, the gamification application has two different modes: personalized mode (for experimental group) and non-personalized mode (for control group). Data was collected from the prototype database and perceived usefulness questionnaire. An independent t-test has been used to compare means of scores between groups. Result shows that there is a significant difference between the students’ scores within the two groups. Therefore, it was clearly revealed that personalized gamified learning is an effective method in learning process; aswell as in boosting student perceived usefulness of the application.
format	Thesis
qualification_level	Master's degree
author	Aljabali, Rasha Najib Ahmed Abdullah
author_facet	Aljabali, Rasha Najib Ahmed Abdullah
author_sort	Aljabali, Rasha Najib Ahmed Abdullah
title	Personalized gamified learning based on learning style
title_short	Personalized gamified learning based on learning style
title_full	Personalized gamified learning based on learning style
title_fullStr	Personalized gamified learning based on learning style
title_full_unstemmed	Personalized gamified learning based on learning style
title_sort	personalized gamified learning based on learning style
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Engineering - School of Computing
publishDate	2019
url	http://eprints.utm.my/id/eprint/96340/1/RashaNajibAhmedMSC2019.pdf.pdf
_version_	1747818659262234624

Personalized gamified learning based on learning style

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