Development and alpha testing of EzHifz application: Al-Quran memorization tool
Document Type
Article
Publication Date
5-11-2021
Abstract
Learning to memorize the Quran presents a challenge:Ibis 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 Eleiss kappa coefficient (kappa) results for user acceptance testing show a very good level of agreement (kappa = 0.850). Heuristic testing results show that kappa = 0.731 for content, manual guide, memorization activities, performance information, and tasmik assessment attributes, while kappa = 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. `Ibis 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 VA RK'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.
Keywords
EzHifz Application, Al-Quran memorization tool, Mobile application
Divisions
Hadith
Funders
Universiti Sains Islam Malaysia (USIM) [Grant No: PPPI/FST/0118/051000/14718]
Publication Title
Advances in Human-Computer Interaction
Volume
2021
Publisher
Hindawi Ltd