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Development And Alpha Testing Of Ezhifz Application: Al-quran Memorization Tool

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dc.contributor.authorNor Musliza Mustafaen_US
dc.contributor.authorZulkifly Mohd Zakien_US
dc.contributor.authorKhairul Anuar Mohamaden_US
dc.contributor.authorMokmin Basrien_US
dc.contributor.authorSedek Ariffinen_US
dc.date.accessioned2024-05-29T02:00:15Z
dc.date.available2024-05-29T02:00:15Z
dc.date.issued2021
dc.date.submitted2022-1-28
dc.descriptionVolume 2021 (page: 1-10)en_US
dc.description.abstractLearning to memorize the Quran presents a challenge. This paper reports the development and alpha testing of a mobile application called “EzHifz” for Quran memorization based on the VARK learning style. The application received positive feedback for user acceptance testing and heuristic testing. The Fleiss kappa coefficient (κ) results for user acceptance testing show a very good level of agreement (κ = 0.850). Heuristic testing results show that κ = 0.731 for content, manual guide, memorization activities, performance information, and tasmik assessment attributes, while κ = 0.727 for presentation design, interactivity, multimedia elements, attraction, and motivation attributes. These results show a good level of agreement, which indicates that the EzHifz application meets the requirements of design and development based on the attributes evaluated. A combination of memorizing techniques in the application helps strengthen the use of preferred VARK learning styles. The techniques support the use of multiple senses that could facilitate the process of memorizing the Quran independently. This study contributes to the novel design and evaluation of the Quran memorization application based on the Quran memorization model. The application supports the teaching and learning of Quran memorization where it allows students to select their preferred VARK learning style with the technique of memorizing the Quran. This mobile application learning approach based on VARK’s learning style has the potential to be implemented in the process of memorizing the Quran as well as retaining memory through the use of memory senses in support of the learning materials developed.en_US
dc.identifier.citationNor Musliza Mustafa, Zulkifly Mohd Zaki, Khairul Anuar Mohamad, Mokmin Basri, Sedek Ariffin, "Development and Alpha Testing of EzHifz Application: Al-Quran Memorization Tool", Advances in Human-Computer Interaction, vol. 2021, Article ID 5567001, 10 pages, 2021. https://doi.org/10.1155/2021/5567001en_US
dc.identifier.doi10.1155/2021/5567001
dc.identifier.epage10
dc.identifier.issn1687-5893
dc.identifier.issue2021
dc.identifier.spage1
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/10110
dc.identifier.volume2021
dc.language.isoen_USen_US
dc.publisherHindawien_US
dc.relation.ispartofAdvances in Human-Computer Interactionen_US
dc.titleDevelopment And Alpha Testing Of Ezhifz Application: Al-quran Memorization Toolen_US
dc.typeArticleen_US
dspace.entity.typePublication

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