Quranic Multimedia Memory Model (QM3) For Memorization Of Holy Quran

Quranic memorization is an essential Islamic repertoire in the implementation of religiousity among Moslems. The traditional manner of memorizing the Quran requires a high level of discipline and determination. To assist the effort of memorization, this research proposes a new model of committing...

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Bibliographic Details
Main Author: Omar Ibrahim Massoud Hammza
Format: Thesis
Language:English
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Online Access:https://oarep.usim.edu.my/bitstreams/d5a6b207-9cba-4911-9ccb-7c49beab1223/download
https://oarep.usim.edu.my/bitstreams/ea2d075d-d897-458f-a70f-1b83e2362b06/download
https://oarep.usim.edu.my/bitstreams/07ce0fec-d41f-4eba-9f0c-893b0ce0339f/download
https://oarep.usim.edu.my/bitstreams/4daa197a-9189-4ec6-8b4c-baeca3c217de/download
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Summary:Quranic memorization is an essential Islamic repertoire in the implementation of religiousity among Moslems. The traditional manner of memorizing the Quran requires a high level of discipline and determination. To assist the effort of memorization, this research proposes a new model of committing quranic text to memory called the Quranic Multimedia Memory Model (QM3). It hybridizes the study performed on verbatim memory, models of memory and Cognitive Multimedia Learning Theory. The model is implemented via e-learning to promote better memorization. Over 35 students from early secondary school of Middle Eastern Libyan nationality are taken to evaluate the effectiveness of the proposed model based on the pretest and posttest experimental design. The main objective of this study is to develop a new model called Quranic Multimedia Memory Model (QM3). The result is significantly promising whereby a performance improvement of approximately 20% is exhibited by students who engaged themselves in quranic memorization using the proposed model. On the other hand, QM3 reduces the time required for memorization approximately 30% when compared to the traditional method. Furthermore, QM3 drops down the propensity of error for the traditional method by more than 80%. Based on the comparison QM3 is found effective where it achieved 1.17s compared to traditional method (TM). This denotes a 32.33 % time reduction. Positive result is also witnessed for the error propensity measure. Here, the traditional method narrates an error possibility of 0.15 as compared to 0.03 which is displayed by QM3. Both of the results indicate a promising manifestation on the impact of QM3 towards memorization. It can therefore be rationalized with reasonable certainty that QM3 does improve the traditional method in terms of time and accuracy.