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Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)

About 80 percent of the world's Muslim populations are non-native speakers of the Arabic language. Since ‎it ‎is ‎‎obligatory for all Muslims to recite the Qur'an in Arabic ‎during regular prayers, ‎an ‎extraordinary ‎‎social phenomenon has taken place ‎in some parts of the ‎Muslim ‎world:...

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Main Authors: Pathan, Al-Sakib Khan, Abdullah , Matin Saad, Al Shaikhli, Imad Fakhri
Format: Monograph
Language:English
Published: RMC, IIUM 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://irep.iium.edu.my/43576/1/Report_EDW_B13-084-0969.pdf
http://irep.iium.edu.my/43576/
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spelling my.iium.irep.435762018-05-21T01:27:23Z http://irep.iium.edu.my/43576/ Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969) Pathan, Al-Sakib Khan Abdullah , Matin Saad Al Shaikhli, Imad Fakhri QA75 Electronic computers. Computer science About 80 percent of the world's Muslim populations are non-native speakers of the Arabic language. Since ‎it ‎is ‎‎obligatory for all Muslims to recite the Qur'an in Arabic ‎during regular prayers, ‎an ‎extraordinary ‎‎social phenomenon has taken place ‎in some parts of the ‎Muslim ‎world: Muslims, men and women, learn the complex phonological rules of the Arabic language in the context of the Qur'an and recite the "sounds" of the Qur'an often understanding very little of what they are reciting. This has given rise to a Muslim demographic segment of adult learners whose main learning goal is to recall an idiomatic translation while reading or listening to the Qur'an. Despite the availability of conventional resources for this purpose, according to our detailed investigation, no empirical research has explored the possibilities of emerging adaptive and intelligent systems for collaborative learning to address this challenge. The goals of this research are: (a) to determine the applicability of learner corpus research through automated pattern extraction from available Qur'anic corpora (b) to investigate declarative memory modeling approaches in order to develop a quantitative algorithm to maximize learning and (c) to explore the possibilities of utilizing existing social networks to enhance learner motivation. RMC, IIUM 2015 Monograph REM application/pdf en http://irep.iium.edu.my/43576/1/Report_EDW_B13-084-0969.pdf Pathan, Al-Sakib Khan and Abdullah , Matin Saad and Al Shaikhli, Imad Fakhri (2015) Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969). Research Report. RMC, IIUM, IIUM. (Unpublished)
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Pathan, Al-Sakib Khan
Abdullah , Matin Saad
Al Shaikhli, Imad Fakhri
Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
description About 80 percent of the world's Muslim populations are non-native speakers of the Arabic language. Since ‎it ‎is ‎‎obligatory for all Muslims to recite the Qur'an in Arabic ‎during regular prayers, ‎an ‎extraordinary ‎‎social phenomenon has taken place ‎in some parts of the ‎Muslim ‎world: Muslims, men and women, learn the complex phonological rules of the Arabic language in the context of the Qur'an and recite the "sounds" of the Qur'an often understanding very little of what they are reciting. This has given rise to a Muslim demographic segment of adult learners whose main learning goal is to recall an idiomatic translation while reading or listening to the Qur'an. Despite the availability of conventional resources for this purpose, according to our detailed investigation, no empirical research has explored the possibilities of emerging adaptive and intelligent systems for collaborative learning to address this challenge. The goals of this research are: (a) to determine the applicability of learner corpus research through automated pattern extraction from available Qur'anic corpora (b) to investigate declarative memory modeling approaches in order to develop a quantitative algorithm to maximize learning and (c) to explore the possibilities of utilizing existing social networks to enhance learner motivation.
format Monograph
author Pathan, Al-Sakib Khan
Abdullah , Matin Saad
Al Shaikhli, Imad Fakhri
author_facet Pathan, Al-Sakib Khan
Abdullah , Matin Saad
Al Shaikhli, Imad Fakhri
author_sort Pathan, Al-Sakib Khan
title Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
title_short Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
title_full Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
title_fullStr Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
title_full_unstemmed Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
title_sort teaching and learning qur'anic arabic utilizing adaptive and intelligent systems for collaborative learning (edw b13-084-0969)
publisher RMC, IIUM
publishDate 2015
url http://irep.iium.edu.my/43576/1/Report_EDW_B13-084-0969.pdf
http://irep.iium.edu.my/43576/
_version_ 1643612418109079552
score 13.211869

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